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nasa_cmr_catalog.json
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nasa_cmr_catalog.json
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[
{
"id": "0f4324af-fa0a-4aaf-9b97-89a4f3325ce1",
"title": "DESIS - Hyperspectral Images - Global",
"catalog": "FEDEO",
"state_date": "2018-08-30",
"end_date": "",
"bbox": "-180, -52, 180, 52",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2207458058-FEDEO.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2207458058-FEDEO.html",
"href": "https://cmr.earthdata.nasa.gov/stac/FEDEO/collections/0f4324af-fa0a-4aaf-9b97-89a4f3325ce1",
"description": "The hyperspectral instrument DESIS (DLR Earth Sensing Imaging Spectrometer) is one of four possible payloads of MUSES (Multi-User System for Earth Sensing), which is mounted on the International Space Station (ISS). DLR developed and delivered a Visual/Near-Infrared Imaging Spectrometer to Teledyne Brown Engineering, which was responsible for integrating the instrument. Teledyne Brown designed and constructed, integrated and tested the platform before delivered to NASA. Teledyne Brown collaborates with DLR in several areas, including basic and applied research for use of data. DESIS is operated in the wavelength range from visible through the near infrared and enables precise data acquisition from Earth's surface for applications including fire-detection, change detection, maritime domain awareness, and atmospheric research. Three product types can be ordered, which are Level 1B (systematic and radiometric corrected), Level 1C (geometrically corrected) and Level 2A (atmospherically corrected). The spatial resolution is about 30m on ground. DESIS is sensitive between 400nm and 1000nm with a spectral resolution of about 3.3nm. DESIS data are delivered in tiles of about 30x30km. For more information concerning DESIS the reader is referred to https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-13614/",
"license": "not-provided"
},
{
"id": "11c5f6df1abc41968d0b28fe36393c9d",
"title": "ESA Aerosol Climate Change Initiative (Aerosol CCI): Level 3 aerosol products from MERIS (ALAMO algorithm), Version 2.2",
"catalog": "FEDEO",
"state_date": "2008-01-01",
"end_date": "2008-12-31",
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2548143004-FEDEO.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2548143004-FEDEO.html",
"href": "https://cmr.earthdata.nasa.gov/stac/FEDEO/collections/11c5f6df1abc41968d0b28fe36393c9d",
"description": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises the Level 3 aerosol daily and monthly gridded products from MERIS for 2008, using the ALAMO algorithm, version 2.2. The data have been provided by Hygeos.For further details about these data products please see the linked documentation.",
"license": "not-provided"
},
{
"id": "12-hourly_interpolated_surface_position_from_buoys",
"title": "12-Hourly Interpolated Surface Position from Buoys",
"catalog": "SCIOPS",
"state_date": "1979-01-01",
"end_date": "2009-12-01",
"bbox": "-180, 60, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214600619-SCIOPS.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214600619-SCIOPS.html",
"href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections/12-hourly_interpolated_surface_position_from_buoys",
"description": "This data set contains Arctic Ocean daily buoy positions interpolated to hours 0Z and 12Z.",
"license": "not-provided"
},
{
"id": "12-hourly_interpolated_surface_velocity_from_buoys",
"title": "12-Hourly Interpolated Surface Velocity from Buoys",
"catalog": "SCIOPS",
"state_date": "1979-01-01",
"end_date": "2009-12-02",
"bbox": "-180, 74, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214600621-SCIOPS.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214600621-SCIOPS.html",
"href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections/12-hourly_interpolated_surface_velocity_from_buoys",
"description": "This data set contains 12-hourly interpolated surface velocity data from buoys. Point grid: Latitude 74N to 90N - 4 degree increment Longitude 0E to 320E - 20 and 40 degree increment.",
"license": "not-provided"
},
{
"id": "12_hourly_interpolated_surface_air_pressure_from_buoys",
"title": "12 Hourly Interpolated Surface Air Pressure from Buoys",
"catalog": "SCIOPS",
"state_date": "1979-01-01",
"end_date": "2007-11-30",
"bbox": "-180, 70, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214600618-SCIOPS.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214600618-SCIOPS.html",
"href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections/12_hourly_interpolated_surface_air_pressure_from_buoys",
"description": "Optimally interpolated atmospheric surface pressure over the Arctic Ocean Basin. Temporal format - twice daily (0Z and 12Z) Spatial format - 2 degree latitude x 10 degree longitude - latitude: 70 N - 90 N - longitude: 0 E - 350 E",
"license": "not-provided"
},
{
"id": "14c_of_soil_co2_from_ipy_itex_cross_site_comparison",
"title": "14C of soil CO2 from IPY ITEX Cross Site Comparison",
"catalog": "SCIOPS",
"state_date": "2008-01-16",
"end_date": "2008-01-21",
"bbox": "-157.4, -36.9, 147.29, 71.3",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214602443-SCIOPS.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214602443-SCIOPS.html",
"href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections/14c_of_soil_co2_from_ipy_itex_cross_site_comparison",
"description": "Study sites: Toolik Lake Field Station Alaska, USA 68.63 N, 149.57 W; Atqasuk, Alaska USA 70.45 N, 157.40 W; Barrow, Alaska, USA 71.30 N, 156.67 W; Latnjajaure, Sweden 68.35 N, 18.50 E; Falls Creek, Australia: Site 2-unburned 36.90 S 147.29 E; Site 3-burned 36.89 S 147.28 E. Additional sites will be added summer 2008, but the exact sites are not finalized. Purpose: Collect soil CO2 for analysis of radiocarbon to evaluate the age of the carbon respired in controls and warmed plots from across the ITEX network. Treatments: control and ITEX OTC warming experiment (1994-2007). Design: 5 replicates of each treatment at dry site and moist site. Sampling frequency: Once per peak season.",
"license": "not-provided"
},
{
"id": "200708_CEAMARC_CASO_TRACE_ELEMENT_SAMPLES.v1",
"title": "2007-08 CEAMARC-CASO VOYAGE TRACE ELEMENT SAMPLING AROUND AN ICEBERG",
"catalog": "AU_AADC",
"state_date": "2008-01-01",
"end_date": "2008-03-20",
"bbox": "139.01488, -67.07104, 150.06479, -42.88246",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214305618-AU_AADC.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214305618-AU_AADC.html",
"href": "https://cmr.earthdata.nasa.gov/stac/AU_AADC/collections/200708_CEAMARC_CASO_TRACE_ELEMENT_SAMPLES.v1",
"description": "We collected surface seawater samples using trace clean 1L Nalgene bottles on the end of a long bamboo pole. We will analyse these samples for trace elements. Iron is the element of highest interest to our group. We will determine dissolved iron and total dissolvable iron concentrations. Samples collected from 7 sites: Sites 1, 2, 3, 4 were a transect perpendicular to the edge of the iceberg to try and determine if there is a iron concentration gradient relative to the iceberg. Sites 4, 5, 6 were along the edge of the iceberg to determine if there is any spatial variability along the iceberg edge. Site 7 was away from the iceberg to determine what the iron concentration is in the surrounding waters not influenced by the iceberg.",
"license": "not-provided"
},
{
"id": "2019 Mali CropType Training Data.v1",
"title": "2019 Mali CropType Training Data",
"catalog": "MLHUB",
"state_date": "2020-01-01",
"end_date": "2023-01-01",
"bbox": "-6.9444015, 12.8185552, -6.5890481, 13.3734391",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781412344-MLHUB.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781412344-MLHUB.html",
"href": "https://cmr.earthdata.nasa.gov/stac/MLHUB/collections/2019 Mali CropType Training Data.v1",
"description": " This dataset produced by the NASA Harvest team includes crop types labels from ground referencing matched with time-series of Sentinel-2 imagery during the growing season. Ground reference data are collected using an ODK app. Crop types include Maize, Millet, Rice and Sorghum. Labels are vectorized over the Sentinel-2 grid, and provided as raster files. Funding for this dataset is provided by Lutheran World Relief, Bill & Melinda Gates Foundation, and University of Maryland NASA Harvest program.",
"license": "not-provided"
},
{
"id": "3DIMG_L1B_STD",
"title": "INSAT-3D Imager Level-1B Full Acquisition Standard Product",
"catalog": "ISRO",
"state_date": "2013-10-01",
"end_date": "",
"bbox": "0.843296, -81.04153, 163.15671, 81.04153",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1231649308-ISRO.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1231649308-ISRO.html",
"href": "https://cmr.earthdata.nasa.gov/stac/ISRO/collections/3DIMG_L1B_STD",
"description": "INSAT-3D Imager Level-1B Standard Product containing 6 channels data in HDF-5 Format",
"license": "not-provided"
},
{
"id": "3DIMG_L1C_SGP",
"title": "INSAT-3D Imager Level-1C Sector Product",
"catalog": "ISRO",
"state_date": "2013-10-01",
"end_date": "",
"bbox": "20, -50, 130, 50",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214622563-ISRO.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214622563-ISRO.html",
"href": "https://cmr.earthdata.nasa.gov/stac/ISRO/collections/3DIMG_L1C_SGP",
"description": "INSAT-3D Imager Level-1C Sector Product (Geocoded, all pixels at same resolution) contains 6 channels data in HDF-5 Format",
"license": "not-provided"
},
{
"id": "3DIMG_L2B_CMK",
"title": "INSAT-3D Imager Level-2B Cloud Map",
"catalog": "ISRO",
"state_date": "2013-10-01",
"end_date": "",
"bbox": "0.843296, -81.04153, 163.15671, 81.04153",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214622564-ISRO.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214622564-ISRO.html",
"href": "https://cmr.earthdata.nasa.gov/stac/ISRO/collections/3DIMG_L2B_CMK",
"description": "INSAT-3D Imager Level-2B Cloud Map Product in HDF-5 Format",
"license": "not-provided"
},
{
"id": "3DIMG_L2B_HEM",
"title": "INSAT-3D Imager Level-2B Precipitation Using Hydroestimator Technique",
"catalog": "ISRO",
"state_date": "2013-10-01",
"end_date": "",
"bbox": "0.843296, -81.04153, 163.15671, 81.04153",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214622538-ISRO.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214622538-ISRO.html",
"href": "https://cmr.earthdata.nasa.gov/stac/ISRO/collections/3DIMG_L2B_HEM",
"description": "INSAT-3D Imager Level-2B Precipitation using Hydroestimator Technique in HDF-5 Format",
"license": "not-provided"
},
{
"id": "3DIMG_L2B_OLR",
"title": "INSAT-3D Imager Level-2B Outgoing Longwave Radiation",
"catalog": "ISRO",
"state_date": "2013-10-01",
"end_date": "",
"bbox": "0.843296, -81.04153, 163.15671, 81.04153",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214622556-ISRO.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214622556-ISRO.html",
"href": "https://cmr.earthdata.nasa.gov/stac/ISRO/collections/3DIMG_L2B_OLR",
"description": "INSAT-3D Imager Level-2B Outgoing Longwave Radation (OLR) in HDF-5 Format",
"license": "not-provided"
},
{
"id": "3fe263d2-99ed-4751-b937-d26a31ab0606",
"title": "AVHRR - Vegetation Index (NDVI) - Europe",
"catalog": "FEDEO",
"state_date": "1994-07-01",
"end_date": "",
"bbox": "-24, 28, 57, 78",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2207458021-FEDEO.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2207458021-FEDEO.html",
"href": "https://cmr.earthdata.nasa.gov/stac/FEDEO/collections/3fe263d2-99ed-4751-b937-d26a31ab0606",
"description": "Every day, three successive NOAA-AVHRR scenes are used to derive a synthesis product in stereographic projection known as the \"Normalized Difference Vegetation Index\" for Europe and North Africa. It is calculated by dividing the difference in technical albedos between measurements in the near infrared and visible red part of the spectrum by the sum of both measurements. This value provides important information about the \"greenness\" and density of vegetation. Weekly and monthly thematic synthesis products are also derived from this daily operational product, at each step becoming successively free of clouds. For additional information, please see: https://wdc.dlr.de/sensors/avhrr/",
"license": "not-provided"
},
{
"id": "7ae5a791-b667-4838-9733-a44e4cf2d715",
"title": "Cartosat-1 (IRS-P5) - Panchromatic Images (PAN) - Europe, Stereographic",
"catalog": "FEDEO",
"state_date": "2007-01-05",
"end_date": "",
"bbox": "-25, 30, 45, 80",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2207458042-FEDEO.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2207458042-FEDEO.html",
"href": "https://cmr.earthdata.nasa.gov/stac/FEDEO/collections/7ae5a791-b667-4838-9733-a44e4cf2d715",
"description": "Indian Remote Sensing satellites (IRS) are a series of Earth Observation satellites, built, launched and maintained by Indian Space Research Organisation. The IRS series provides many remote sensing services to India and international ground stations. The satellite has two panchromatic cameras that were especially designed for in flight stereo viewing.",
"license": "not-provided"
},
{
"id": "802569b8-fb56-4d78-a2e8-3e4549ff475b",
"title": "AVHRR - Sea Surface Temperature (SST) - Europe",
"catalog": "FEDEO",
"state_date": "1994-08-01",
"end_date": "",
"bbox": "-35, 47.5, 51, 73",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2207458053-FEDEO.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2207458053-FEDEO.html",
"href": "https://cmr.earthdata.nasa.gov/stac/FEDEO/collections/802569b8-fb56-4d78-a2e8-3e4549ff475b",
"description": "The AVHRR Mulitchannel Sea Surface Temperature Map (MCSST) was the first result of DLR's AVHRR pathfinder activities. The goal of the product is to provide the user with actual Sea Surface Temperature (SST) maps in a defined format easy to access with the highest possible reliability on the thematic quality. After a phase of definition, the operational production chain was launched in March 1993 covering the entire Mediterranean Sea and the Black Sea. Since then, daily, weekly, and monthly data sets have been available until September 13, 1994, when the AVHRR on board the NOAA-11 spacecraft failed. The production of daily, weekly and monthly SST maps was resumed in February, 1995, based on NOAA-14 AVHRR data. The NOAA-14 AVHRR sensor became some technical difficulties, so the generation was stopped on October 3, 2001. Since March 2002, NOAA-16 AVHRR SST maps are available again. With the beginning of January 2004, the data of AVHRR on board of NOAA-16 exhibited some anormal features showing strips in the scenes. Facing the \u201cbar coded\u201d images of NOAA16-AVHRR which occurred first in September 2003, continued in January 2004 for the second time and appeared in April 2004 again, DFD has decided to stop the reception of NOAA16 data on April 6th, 2004, and to start the reception of NOAA-17 data on this day. On April 7th, 2004, the production of all former NOAA16-AVHRR products as e.g. the SST composites was successully established. NOAA-17 is an AM sensor which passes central Europe about 2 hours earlier than NOAA-16 (about 10:00 UTC instead of 12:00 UTC for NOAA-16). In spring 2007, the communication system of NOAA-17 has degraded or is operating with limitations. Therefore, DFD has decided to shift the production of higher level products (NDVI, LST and SST) from NOAA-17 to NOAA-18 in April 2007. In order to test the performance of our processing chains, we processed simultaneously all NOAA-17 and NOAA-18 data from January 1st, 2007 till March 29th, 2007. All products are be available via EOWEB. Please remember that NOAA-18 is a PM sensor which passes central Europe about 1.5 hours later than NOAA-17 (about 11:30 UTC instead of 10:00 UTC for NOAA17). The SST product is intended for climate modelers, oceanographers, and all geo science-related disciplines dealing with ocean surface parameters. In addition, SST maps covering the North Atlantic, the Baltic Sea, the North Sea and the Western Atlantic equivalent to the Mediterranean MCSST maps are available since August 1994. The most important aspects of the MCSST maps are a) correct image registration and b) reasonable cloud screening to ensure that only cloud free pixels are taken for the later processing and compositing c) for deriving MCSST, only channel 4 and 5 are used.. The SST product consists of one 8 bit channel. For additional information, please see: https://wdc.dlr.de/sensors/avhrr/",
"license": "not-provided"
},
{
"id": "936b319d-5253-425d-bd29-4b6ebce067ff",
"title": "AVHRR - Land Surface Temperature (LST) - Europe, Nighttime",
"catalog": "FEDEO",
"state_date": "1998-02-23",
"end_date": "",
"bbox": "-24, 28, 57, 78",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2207458046-FEDEO.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2207458046-FEDEO.html",
"href": "https://cmr.earthdata.nasa.gov/stac/FEDEO/collections/936b319d-5253-425d-bd29-4b6ebce067ff",
"description": "The \"Land Surface Temperature derived from NOAA-AVHRR data (LST_AVHRR)\" is a fixed grid map (in stereographic projection) with a spatial resolution of 1.1 km. The total size covering Europe is 4100 samples by 4300 lines. Within 24 hours of acquiring data from the satellite, day-time and night-time LSTs are calculated. In general, the products utilise data from all six of the passes that the satellite makes over Europe in each 24 hour period. For the daily day-time LST maps, the compositing criterion for the three day-time passes is maximum NDVI value and for daily night-time LST maps, the criterion is the maximum night-time LST value of the three night-time passes. Weekly and monthly day-time or night-time LST composite products are also produced by averaging daily day-time or daily night-time LST values, respectively. The range of LST values is scaled between \u201339.5\u00b0C and +87\u00b0C with a radiometric resolution of 0.5\u00b0C. A value of \u201340\u00b0C is used for water. Clouds are masked out as bad values. For additional information, please see: https://wdc.dlr.de/sensors/avhrr/",
"license": "not-provided"
},
{
"id": "A Fusion Dataset for Crop Type Classification in Germany.v1",
"title": "A Fusion Dataset for Crop Type Classification in Germany",
"catalog": "MLHUB",
"state_date": "2020-01-01",
"end_date": "2023-01-01",
"bbox": "13.6339485, 52.4179888, 14.3529903, 52.8494418",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781412484-MLHUB.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781412484-MLHUB.html",
"href": "https://cmr.earthdata.nasa.gov/stac/MLHUB/collections/A Fusion Dataset for Crop Type Classification in Germany.v1",
"description": " This dataset contains ground reference crop type labels and multispectral and synthetic aperture radar (SAR) imagery from multiple satellites in an area located in Brandenburg, Germany. There are nine crop types in this dataset from years 2018 and 2019: Wheat, Rye, Barley, Oats, Corn, Oil Seeds, Root Crops, Meadows, Forage Crops. The 2018 labels from one of the tiles are provided for training, and the 2019 labels from a neighboring tile will be used for scoring in the competition. Input imagery consist of time series of Sentinel-2, Sentinel-1 and Planet Fusion (daily and 5-day composite) data. You can access each source from a different collection. The Planet fusion data are made available under a CC-BY-SA license. As an exception to the AI4EO Terms and Conditions published on the competition website, you confirm, by participating in it, that you agree that your results will be made public under the same, open-source license. ",
"license": "not-provided"
},
{
"id": "A Fusion Dataset for Crop Type Classification in Western Cape, South Africa.v1",
"title": "A Fusion Dataset for Crop Type Classification in Western Cape, South Africa",
"catalog": "MLHUB",
"state_date": "2020-01-01",
"end_date": "2023-01-01",
"bbox": "20.5212157, -34.413256, 21.043415, -33.9796334",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781412697-MLHUB.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781412697-MLHUB.html",
"href": "https://cmr.earthdata.nasa.gov/stac/MLHUB/collections/A Fusion Dataset for Crop Type Classification in Western Cape, South Africa.v1",
"description": " This dataset contains ground reference crop type labels and multispectral and synthetic aperture radar (SAR) imagery from multiple satellites in an area located in Western Cape, South Africa. There are five crop types from the year 2017: Wheat, Barely, Canola, Lucerne/Medics, Small grain grazing. The AOI is split to three tiles. Two tiles are provided as training labels, and one tile will be used for scoring in the competition. Input imagery consist of time series of Sentinel-2, Sentinel-1 and Planet Fusion (daily and 5-day composite) data. You can access each source from a different collection. The Planet fusion data are made available under a CC-BY-SA license. As an exception to the AI4EO Terms and Conditions published on the competition website, you confirm, by participating in it, that you agree that your results will be made public under the same, open-source license. The Western Cape Department of Agriculture (WCDoA) vector data are supplied via Radiant Earth Foundation with limited distribution rights. Data supplied by the WCDoA may not be distributed further or used for commercial purposes. The vector data supplied are intended strictly for use within the scope of this remote sensing competition - for the purpose of academic research to our mutual benefit. The data is intended for research purposes only and the WCDoA cannot be held responsible for any errors or omissions which may occur in the data. ",
"license": "not-provided"
},
{
"id": "A crop type dataset for consistent land cover classification in Central Asia.v1",
"title": "A crop type dataset for consistent land cover classification in Central Asia",
"catalog": "MLHUB",
"state_date": "2020-01-01",
"end_date": "2023-01-01",
"bbox": "60.2013297, 37.4241018, 72.3539419, 41.8252151",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781412666-MLHUB.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781412666-MLHUB.html",
"href": "https://cmr.earthdata.nasa.gov/stac/MLHUB/collections/A crop type dataset for consistent land cover classification in Central Asia.v1",
"description": "Land cover is a key variable in the context of climate change. In particular, crop type information is essential to understand the spatial distribution of water usage and anticipate the risk of water scarcity and the consequent danger of food insecurity. This applies to arid regions such as the Aral Sea Basin (ASB), Central Asia, where agriculture relies heavily on irrigation. Here, remote sensing is valuable to map crop types, but its quality depends on consistent ground-truth data. Yet, in the ASB, such data is missing. Addressing this issue, we collected thousands of polygons on crop types, 97.7% of which in Uzbekistan and the remaining in Tajikistan. We collected 8,196 samples between 2015 and 2018, 213 in 2011 and 26 in 2008. Our data compiles samples for 40 crop types and is dominated by \u201ccotton\u201d (40%) and \u201cwheat\u201d, (25%). These data were meticulously validated using expert knowledge and remote sensing data and relied on transferable, open-source workflows that will assure the consistency of future sampling campaigns.",
"license": "not-provided"
},
{
"id": "AAS_4156_Macquarie_Island_Emerald_Lake.v1",
"title": "12,000 year record of sea spray and minerogenic input from Emerald Lake, Macquarie Island",
"catalog": "AU_AADC",
"state_date": "2012-07-01",
"end_date": "2019-06-30",
"bbox": "158.77441, -54.77772, 158.94951, -54.4828",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2102891784-AU_AADC.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2102891784-AU_AADC.html",
"href": "https://cmr.earthdata.nasa.gov/stac/AU_AADC/collections/AAS_4156_Macquarie_Island_Emerald_Lake.v1",
"description": "Reconstructed sea spray and minerogenic data for a 12,000 year lake sediment record from Emerald Lake, Macquarie Island. Proxies are based on biological (diatoms) and geochemical (micro x-ray fluorescence and hyperspectral imaging) indicators. Data correspond to the figures in: Saunders et al. 2018 Holocene dynamics of the Southern Hemisphere westerly winds and possible links to CO2 outgassing. Nature Geoscience 11:650-655. doi.org/10.1038/s41561-018-0186-5. Detailed supplementary information: https://static-content.springer.com/esm/art%3A10.1038%2Fs41561-018-0186-5/MediaObjects/41561_2018_186_MOESM1_ESM.pdf Abstract: The Southern Hemisphere westerly winds (SHW) play an important role in regulating the capacity of the Southern Ocean carbon sink. They modulate upwelling of carbon-rich deep water and, with sea ice, determine the ocean surface area available for air\u2013sea gas exchange. Some models indicate that the current strengthening and poleward shift of these winds will weaken the carbon sink. If correct, centennial- to millennial-scale reconstructions of the SHW intensity should be linked with past changes in atmospheric CO2, temperature and sea ice. Here we present a 12,300-year reconstruction of wind strength based on three independent proxies that track inputs of sea-salt aerosols and minerogenic particles accumulating in lake sediments on sub-Antarctic Macquarie Island. Between about 12.1 thousand years ago (ka) and 11.2 ka, and since about 7 ka, the wind intensities were above their long-term mean and corresponded with increasing atmospheric CO2. Conversely, from about 11.2 to 7.2 ka, the wind intensities were below their long-term mean and corresponded with decreasing atmospheric CO2. These observations are consistent with model inferences of enhanced SHW contributing to the long-term outgassing of CO2 from the Southern Ocean.",
"license": "not-provided"
},
{
"id": "AAS_4156_Macquarie_Island_unnamed_lake.v1",
"title": "2000 year record of environmental change from an unnamed lake on Macquarie Island",
"catalog": "AU_AADC",
"state_date": "2012-07-01",
"end_date": "2019-06-30",
"bbox": "158.74969, -54.78485, 158.96118, -54.47004",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2102891849-AU_AADC.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2102891849-AU_AADC.html",
"href": "https://cmr.earthdata.nasa.gov/stac/AU_AADC/collections/AAS_4156_Macquarie_Island_unnamed_lake.v1",
"description": "Age-depth and geochemical data for a 2000 year lake sediment record from an unnamed lake on Macquarie Island. The lake is the small lake to the west of Major Lake, on the edge of the Macquarie Island plateau. The chronology is based on lead-210 (last ca. 100 years) and radiocarbon (extending to ca. 2000 years). Geochemistry is based on micro x-ray fluroescence, and carbon, nitrogen and sulphur contents. Grain size and water content were also measured. Data correspond to the publication: Saunders et al. in prep.Southern Hemisphere westerly wind variability in the sub-Antarctic and relationships to mid-latitude precipitation for the last 2000 years",
"license": "not-provided"
},
{
"id": "ABLVIS1B.v1",
"title": "ABoVE LVIS L1B Geolocated Return Energy Waveforms V001",
"catalog": "NSIDC_ECS",
"state_date": "2017-06-29",
"end_date": "2017-07-17",
"bbox": "-158, 48, -104, 72",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1513105920-NSIDC_ECS.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1513105920-NSIDC_ECS.html",
"href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/ABLVIS1B.v1",
"description": "This data set contains return energy waveform data over Alaska and Western Canada measured by the NASA Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of NASA's Terrestrial Ecology Program campaign, the Arctic-Boreal Vulnerability Experiment (ABoVE).",
"license": "not-provided"
},
{
"id": "ABLVIS2.v1",
"title": "ABoVE LVIS L2 Geolocated Surface Elevation Product V001",
"catalog": "NSIDC_ECS",
"state_date": "2017-06-29",
"end_date": "2017-07-17",
"bbox": "-158, 48, -104, 72",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1513105984-NSIDC_ECS.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1513105984-NSIDC_ECS.html",
"href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/ABLVIS2.v1",
"description": "This data set contains surface elevation data over Alaska and Western Canada measured by the NASA Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of NASA's Terrestrial Ecology Program campaign, the Arctic-Boreal Vulnerability Experiment (ABoVE).",
"license": "not-provided"
},
{
"id": "ABOLVIS1A.v1",
"title": "ABoVE LVIS L1A Geotagged Images V001",
"catalog": "NSIDC_ECS",
"state_date": "2017-06-29",
"end_date": "2017-07-17",
"bbox": "-158, 48, -104, 72",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1673546369-NSIDC_ECS.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1673546369-NSIDC_ECS.html",
"href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/ABOLVIS1A.v1",
"description": "This data set contains geotagged images collected over Alaska and Western Canada. The images were taken by the NASA Digital Mapping Camera, paired with the Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of NASA's Terrestrial Ecology Program campaign, the Arctic-Boreal Vulnerability Experiment (ABoVE).",
"license": "not-provided"
},
{
"id": "ABoVE_Concise_Experiment_Plan_1617.v1.1",
"title": "A Concise Experiment Plan for the Arctic-Boreal Vulnerability Experiment",
"catalog": "ORNL_CLOUD",
"state_date": "2014-01-01",
"end_date": "2021-12-31",
"bbox": "-176.12, 39.42, -66.92, 81.61",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2162145735-ORNL_CLOUD.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2162145735-ORNL_CLOUD.html",
"href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/ABoVE_Concise_Experiment_Plan_1617.v1.1",
"description": "This document presents the Concise Experiment Plan for NASA's Arctic-Boreal Vulnerability Experiment (ABoVE) to serve as a guide to the Program as it identifies the research to be conducted under this study. Research for ABoVE will link field-based, process-level studies with geospatial data products derived from airborne and satellite remote sensing, providing a foundation for improving the analysis and modeling capabilities needed to understand and predict ecosystem responses and societal implications. The ABoVE Concise Experiment Plan (ACEP) outlines the conceptual basis for the Field Campaign and expresses the compelling rationale explaining the scientific and societal importance of the study. It presents both the science questions driving ABoVE research as well as the top-level requirements for a study design to address them.",
"license": "not-provided"
},
{
"id": "ACCLIP_AerosolCloud_AircraftRemoteSensing_WB57_Data.v1",
"title": "ACCLIP WB-57 Aerosol and Cloud Remotely Sensed Data",
"catalog": "LARC_ASDC",
"state_date": "2022-07-14",
"end_date": "2022-09-14",
"bbox": "-180, 16.6, 180, 61.5",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2655162569-LARC_ASDC.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2655162569-LARC_ASDC.html",
"href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections/ACCLIP_AerosolCloud_AircraftRemoteSensing_WB57_Data.v1",
"description": "ACCLIP_AerosolCloud_AircraftRemoteSensing_WB57_Data is the cloud and aerosol remote sensing data from the Roscoe lidar collected during the Asian Summer Monsoon Chemical & Climate Impact Project (ACCLIP). Data collection for this product is complete. ACCLIP is an international, multi-organizational suborbital campaign that aims to study aerosols and chemical transport that is associated with the Asian Summer Monsoon (ASM) in the Western Pacific region from 15 July 2022 to 31 August 2022. The ASM is the largest meteorological pattern in the Northern Hemisphere (NH) during the summer and is associated with persistent convection and large anticyclonic flow patterns in the upper troposphere and lower stratosphere (UTLS). This leads to significant enhancements in the UTLS of trace species that originate from pollution or biomass burning. Convection connected to the ASM occurs over South, Southeast, and East Asia, a region with complex and rapidly changing emissions due to its high population density and economic growth. Pollution that reaches the UTLS from this region can have significant effects on the climate and chemistry of the atmosphere, making it important to have an accurate representation and understanding of ASM transport, chemical, and microphysical processes for chemistry-climate models to characterize these interactions and for predicting future impacts on climate. The ACCLIP campaign is conducted by the National Aeronautics and Space Administration (NASA) and the National Center for Atmospheric Research (NCAR) with the primary goal of investigating the impacts of Asian gas and aerosol emissions on global chemistry and climate. The NASA WB-57 and NCAR G-V aircraft are outfitted with state-of-the-art sensors to accomplish this. ACCLIP seeks to address four scientific objectives related to its main goal. The first is to investigate the transport pathways of ASM uplifted air from inside of the anticyclone to the global UTLS. Another objective is to sample the chemical content of air processed in the ASM in order to quantify the role of the ASM in transporting chemically active species and short-lived climate forcing agents to the UTLS to determine their impact on stratospheric ozone chemistry and global climate. Third, information is obtained on aerosol size, mass, and chemical composition that is necessary for determining the radiative effects of the ASM to constrain models of aerosol formation and for contrasting the organic-rich ASM UTLS aerosol population with that of the background aerosols. Last, ACCLIP seeks to measure the water vapor distribution associated with the monsoon dynamical structure to evaluate transport across the tropopause and determine the role of the ASM in water vapor transport in the stratosphere.",
"license": "not-provided"
},
{
"id": "ACCLIP_Aerosol_AircraftInSitu_WB57_Data.v1",
"title": "ACCLIP WB-57 Aircraft In-Situ Aerosol Data",
"catalog": "LARC_ASDC",
"state_date": "2022-07-14",
"end_date": "2022-09-14",
"bbox": "-180, 16.6, 180, 61.5",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2609962127-LARC_ASDC.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2609962127-LARC_ASDC.html",
"href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections/ACCLIP_Aerosol_AircraftInSitu_WB57_Data.v1",
"description": "ACCLIP_Aerosol_AircraftInSitu_WB57_Data is the in-situ aerosol data collected during the Asian Summer Monsoon Chemical & Climate Impact Project (ACCLIP). Data from the Particle Analysis by Laser Mass Spectrometry - Next Generation (PALMS-NG), Single Particle Soot Photometer (SP2), Nucleation-Mode Aerosol Size Spectrometer (N-MASS), Printed Optical Particle Spectrometer (POPS), and the Ultra-High Sensitivity Aerosol Spectrometer (UHSAS) is featured in this collection. Data collection for this product is complete. ACCLIP is an international, multi-organizational suborbital campaign that aims to study aerosols and chemical transport that is associated with the Asian Summer Monsoon (ASM) in the Western Pacific region from 15 July 2022 to 31 August 2022. The ASM is the largest meteorological pattern in the Northern Hemisphere (NH) during the summer and is associated with persistent convection and large anticyclonic flow patterns in the upper troposphere and lower stratosphere (UTLS). This leads to significant enhancements in the UTLS of trace species that originate from pollution or biomass burning. Convection connected to the ASM occurs over South, Southeast, and East Asia, a region with complex and rapidly changing emissions due to its high population density and economic growth. Pollution that reaches the UTLS from this region can have significant effects on the climate and chemistry of the atmosphere, making it important to have an accurate representation and understanding of ASM transport, chemical, and microphysical processes for chemistry-climate models to characterize these interactions and for predicting future impacts on climate. The ACCLIP campaign is conducted by the National Aeronautics and Space Administration (NASA) and the National Center for Atmospheric Research (NCAR) with the primary goal of investigating the impacts of Asian gas and aerosol emissions on global chemistry and climate. The NASA WB-57 and NCAR G-V aircraft are outfitted with state-of-the-art sensors to accomplish this. ACCLIP seeks to address four scientific objectives related to its main goal. The first is to investigate the transport pathways of ASM uplifted air from inside of the anticyclone to the global UTLS. Another objective is to sample the chemical content of air processed in the ASM in order to quantify the role of the ASM in transporting chemically active species and short-lived climate forcing agents to the UTLS to determine their impact on stratospheric ozone chemistry and global climate. Third, information is obtained on aerosol size, mass, and chemical composition that is necessary for determining the radiative effects of the ASM to constrain models of aerosol formation and for contrasting the organic-rich ASM UTLS aerosol population with that of the background aerosols. Last, ACCLIP seeks to measure the water vapor distribution associated with the monsoon dynamical structure to evaluate transport across the tropopause and determine the role of the ASM in water vapor transport in the stratosphere.",
"license": "not-provided"
},
{
"id": "ACCLIP_AircraftInSitu_WB57_Water_Data.v1",
"title": "ACCLIP WB-57 Aircraft Water In-situ Data",
"catalog": "LARC_ASDC",
"state_date": "2022-07-14",
"end_date": "2022-09-14",
"bbox": "-180, 16.6, 180, 61.5",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2609920136-LARC_ASDC.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2609920136-LARC_ASDC.html",
"href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections/ACCLIP_AircraftInSitu_WB57_Water_Data.v1",
"description": "ACCLIP_AircraftInSitu_WB57_Water_Data is the in-situ water data collection during the Asian Summer Monsoon Chemical & Climate Impact Project (ACCLIP). Data from the Chicago Water Isotope Spectrometer (ChiWIS) is featured in this collection. Data collection for this product is complete. ACCLIP is an international, multi-organizational suborbital campaign that aims to study aerosols and chemical transport that is associated with the Asian Summer Monsoon (ASM) in the Western Pacific region from 15 July 2022 to 31 August 2022. The ASM is the largest meteorological pattern in the Northern Hemisphere (NH) during the summer and is associated with persistent convection and large anticyclonic flow patterns in the upper troposphere and lower stratosphere (UTLS). This leads to significant enhancements in the UTLS of trace species that originate from pollution or biomass burning. Convection connected to the ASM occurs over South, Southeast, and East Asia, a region with complex and rapidly changing emissions due to its high population density and economic growth. Pollution that reaches the UTLS from this region can have significant effects on the climate and chemistry of the atmosphere, making it important to have an accurate representation and understanding of ASM transport, chemical, and microphysical processes for chemistry-climate models to characterize these interactions and for predicting future impacts on climate. The ACCLIP campaign is conducted by the National Aeronautics and Space Administration (NASA) and the National Center for Atmospheric Research (NCAR) with the primary goal of investigating the impacts of Asian gas and aerosol emissions on global chemistry and climate. The NASA WB-57 and NCAR G-V aircraft are outfitted with state-of-the-art sensors to accomplish this. ACCLIP seeks to address four scientific objectives related to its main goal. The first is to investigate the transport pathways of ASM uplifted air from inside of the anticyclone to the global UTLS. Another objective is to sample the chemical content of air processed in the ASM in order to quantify the role of the ASM in transporting chemically active species and short-lived climate forcing agents to the UTLS to determine their impact on stratospheric ozone chemistry and global climate. Third, information is obtained on aerosol size, mass, and chemical composition that is necessary for determining the radiative effects of the ASM to constrain models of aerosol formation and for contrasting the organic-rich ASM UTLS aerosol population with that of the background aerosols. Last, ACCLIP seeks to measure the water vapor distribution associated with the monsoon dynamical structure to evaluate transport across the tropopause and determine the role of the ASM in water vapor transport in the stratosphere.",
"license": "not-provided"
},
{
"id": "ACCLIP_Cloud_AircraftInSitu_WB57_Data.v1",
"title": "ACCLIP WB-57 Aircraft In-situ Cloud Data",
"catalog": "LARC_ASDC",
"state_date": "2022-07-14",
"end_date": "2022-09-15",
"bbox": "-180, 16.6, 180, 61.5",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2609947245-LARC_ASDC.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2609947245-LARC_ASDC.html",
"href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections/ACCLIP_Cloud_AircraftInSitu_WB57_Data.v1",
"description": "ACCLIP_Cloud_AircraftInSitu_WB57_Data is the in-situ cloud data collection during the Asian Summer Monsoon Chemical & Climate Impact Project (ACCLIP). Data from the Cloud, Aerosol, and Precipitation Spectrometer (CAPS) is featured in this collection. Data collection for this product is complete. ACCLIP is an international, multi-organizational suborbital campaign that aims to study aerosols and chemical transport that is associated with the Asian Summer Monsoon (ASM) in the Western Pacific region from 15 July 2022 to 31 August 2022. The ASM is the largest meteorological pattern in the Northern Hemisphere (NH) during the summer and is associated with persistent convection and large anticyclonic flow patterns in the upper troposphere and lower stratosphere (UTLS). This leads to significant enhancements in the UTLS of trace species that originate from pollution or biomass burning. Convection connected to the ASM occurs over South, Southeast, and East Asia, a region with complex and rapidly changing emissions due to its high population density and economic growth. Pollution that reaches the UTLS from this region can have significant effects on the climate and chemistry of the atmosphere, making it important to have an accurate representation and understanding of ASM transport, chemical, and microphysical processes for chemistry-climate models to characterize these interactions and for predicting future impacts on climate. The ACCLIP campaign is conducted by the National Aeronautics and Space Administration (NASA) and the National Center for Atmospheric Research (NCAR) with the primary goal of investigating the impacts of Asian gas and aerosol emissions on global chemistry and climate. The NASA WB-57 and NCAR G-V aircraft are outfitted with state-of-the-art sensors to accomplish this. ACCLIP seeks to address four scientific objectives related to its main goal. The first is to investigate the transport pathways of ASM uplifted air from inside of the anticyclone to the global UTLS. Another objective is to sample the chemical content of air processed in the ASM in order to quantify the role of the ASM in transporting chemically active species and short-lived climate forcing agents to the UTLS to determine their impact on stratospheric ozone chemistry and global climate. Third, information is obtained on aerosol size, mass, and chemical composition that is necessary for determining the radiative effects of the ASM to constrain models of aerosol formation and for contrasting the organic-rich ASM UTLS aerosol population with that of the background aerosols. Last, ACCLIP seeks to measure the water vapor distribution associated with the monsoon dynamical structure to evaluate transport across the tropopause and determine the role of the ASM in water vapor transport in the stratosphere.",
"license": "not-provided"
},
{
"id": "ACCLIP_Merge_WB57-Aircraft_Data.v1",
"title": "ACCLIP WB-57 Aircraft Merge Data",
"catalog": "LARC_ASDC",
"state_date": "2022-07-16",
"end_date": "2022-09-14",
"bbox": "-180, 16.6, 180, 61.5",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2609887645-LARC_ASDC.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2609887645-LARC_ASDC.html",
"href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections/ACCLIP_Merge_WB57-Aircraft_Data.v1",
"description": "ACCLIP_Merge_WB57-Aircraft_Data is the pre-generated merge files created from a variety of in-situ instrumentation collecting measurements onboard the WB-57 aircraft during the Asian Summer Monsoon Chemical & Climate Impact Project (ACCLIP). Data collection for this product is complete. ACCLIP is an international, multi-organizational suborbital campaign that aims to study aerosols and chemical transport that is associated with the Asian Summer Monsoon (ASM) in the Western Pacific region from 15 July 2022 to 31 August 2022. The ASM is the largest meteorological pattern in the Northern Hemisphere (NH) during the summer and is associated with persistent convection and large anticyclonic flow patterns in the upper troposphere and lower stratosphere (UTLS). This leads to significant enhancements in the UTLS of trace species that originate from pollution or biomass burning. Convection connected to the ASM occurs over South, Southeast, and East Asia, a region with complex and rapidly changing emissions due to its high population density and economic growth. Pollution that reaches the UTLS from this region can have significant effects on the climate and chemistry of the atmosphere, making it important to have an accurate representation and understanding of ASM transport, chemical, and microphysical processes for chemistry-climate models to characterize these interactions and for predicting future impacts on climate. The ACCLIP campaign is conducted by the National Aeronautics and Space Administration (NASA) and the National Center for Atmospheric Research (NCAR) with the primary goal of investigating the impacts of Asian gas and aerosol emissions on global chemistry and climate. The NASA WB-57 and NCAR G-V aircraft are outfitted with state-of-the-art sensors to accomplish this. ACCLIP seeks to address four scientific objectives related to its main goal. The first is to investigate the transport pathways of ASM uplifted air from inside of the anticyclone to the global UTLS. Another objective is to sample the chemical content of air processed in the ASM in order to quantify the role of the ASM in transporting chemically active species and short-lived climate forcing agents to the UTLS to determine their impact on stratospheric ozone chemistry and global climate. Third, information is obtained on aerosol size, mass, and chemical composition that is necessary for determining the radiative effects of the ASM to constrain models of aerosol formation and for contrasting the organic-rich ASM UTLS aerosol population with that of the background aerosols. Last, ACCLIP seeks to measure the water vapor distribution associated with the monsoon dynamical structure to evaluate transport across the tropopause and determine the role of the ASM in water vapor transport in the stratosphere.",
"license": "not-provided"
},
{
"id": "ACCLIP_MetNav_AircraftInSitu_WB57_Data.v1",
"title": "ACCLIP WB-57 Meteorological and Navigational Data",
"catalog": "LARC_ASDC",
"state_date": "2022-07-14",
"end_date": "2022-09-14",
"bbox": "-180, 16.6, 180, 61.5",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2566338281-LARC_ASDC.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2566338281-LARC_ASDC.html",
"href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections/ACCLIP_MetNav_AircraftInSitu_WB57_Data.v1",
"description": "ACCLIP_MetNav_AircraftInSitu_WB57_Data is the in-situ meteorology and navigational data collection during the Asian Summer Monsoon Chemical & Climate Impact Project (ACCLIP). Data from the Meteorological Measurement System (MMS) and Diode Laser Hygrometer (DLH) is featured in this collection. Data collection for this product is complete. ACCLIP is an international, multi-organizational suborbital campaign that aims to study aerosols and chemical transport that is associated with the Asian Summer Monsoon (ASM) in the Western Pacific region from 15 July 2022 to 31 August 2022. The ASM is the largest meteorological pattern in the Northern Hemisphere (NH) during the summer and is associated with persistent convection and large anticyclonic flow patterns in the upper troposphere and lower stratosphere (UTLS). This leads to significant enhancements in the UTLS of trace species that originate from pollution or biomass burning. Convection connected to the ASM occurs over South, Southeast, and East Asia, a region with complex and rapidly changing emissions due to its high population density and economic growth. Pollution that reaches the UTLS from this region can have significant effects on the climate and chemistry of the atmosphere, making it important to have an accurate representation and understanding of ASM transport, chemical, and microphysical processes for chemistry-climate models to characterize these interactions and for predicting future impacts on climate. The ACCLIP campaign is conducted by the National Aeronautics and Space Administration (NASA) and the National Center for Atmospheric Research (NCAR) with the primary goal of investigating the impacts of Asian gas and aerosol emissions on global chemistry and climate. The NASA WB-57 and NCAR G-V aircraft are outfitted with state-of-the-art sensors to accomplish this. ACCLIP seeks to address four scientific objectives related to its main goal. The first is to investigate the transport pathways of ASM uplifted air from inside of the anticyclone to the global UTLS. Another objective is to sample the chemical content of air processed in the ASM in order to quantify the role of the ASM in transporting chemically active species and short-lived climate forcing agents to the UTLS to determine their impact on stratospheric ozone chemistry and global climate. Third, information is obtained on aerosol size, mass, and chemical composition that is necessary for determining the radiative effects of the ASM to constrain models of aerosol formation and for contrasting the organic-rich ASM UTLS aerosol population with that of the background aerosols. Last, ACCLIP seeks to measure the water vapor distribution associated with the monsoon dynamical structure to evaluate transport across the tropopause and determine the role of the ASM in water vapor transport in the stratosphere.",
"license": "not-provided"
},
{
"id": "ACCLIP_Model_WB57_Data.v1",
"title": "ACCLIP WB-57 Aircraft Model Data",
"catalog": "LARC_ASDC",
"state_date": "2022-07-14",
"end_date": "2022-09-14",
"bbox": "-180, 16.6, 180, 61.5",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2609869612-LARC_ASDC.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2609869612-LARC_ASDC.html",
"href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections/ACCLIP_Model_WB57_Data.v1",
"description": "ACCLIP_Model_WB57_Data contains modeled meteorological, chemical, and aerosol data along the flight tracks of the WB-57 aircraft during the Asian Summer Monsoon Chemical & Climate Impact Project (ACCLIP). Data collection for this product is complete. ACCLIP is an international, multi-organizational suborbital campaign that aims to study aerosols and chemical transport that is associated with the Asian Summer Monsoon (ASM) in the Western Pacific region from 15 July 2022 to 31 August 2022. The ASM is the largest meteorological pattern in the Northern Hemisphere (NH) during the summer and is associated with persistent convection and large anticyclonic flow patterns in the upper troposphere and lower stratosphere (UTLS). This leads to significant enhancements in the UTLS of trace species that originate from pollution or biomass burning. Convection connected to the ASM occurs over South, Southeast, and East Asia, a region with complex and rapidly changing emissions due to its high population density and economic growth. Pollution that reaches the UTLS from this region can have significant effects on the climate and chemistry of the atmosphere, making it important to have an accurate representation and understanding of ASM transport, chemical, and microphysical processes for chemistry-climate models to characterize these interactions and for predicting future impacts on climate. The ACCLIP campaign is conducted by the National Aeronautics and Space Administration (NASA) and the National Center for Atmospheric Research (NCAR) with the primary goal of investigating the impacts of Asian gas and aerosol emissions on global chemistry and climate. The NASA WB-57 and NCAR G-V aircraft are outfitted with state-of-the-art sensors to accomplish this. ACCLIP seeks to address four scientific objectives related to its main goal. The first is to investigate the transport pathways of ASM uplifted air from inside of the anticyclone to the global UTLS. Another objective is to sample the chemical content of air processed in the ASM in order to quantify the role of the ASM in transporting chemically active species and short-lived climate forcing agents to the UTLS to determine their impact on stratospheric ozone chemistry and global climate. Third, information is obtained on aerosol size, mass, and chemical composition that is necessary for determining the radiative effects of the ASM to constrain models of aerosol formation and for contrasting the organic-rich ASM UTLS aerosol population with that of the background aerosols. Last, ACCLIP seeks to measure the water vapor distribution associated with the monsoon dynamical structure to evaluate transport across the tropopause and determine the role of the ASM in water vapor transport in the stratosphere.",
"license": "not-provided"
},
{
"id": "ACCLIP_TraceGas_AircraftInSitu_WB57_Data.v1",
"title": "ACCLIP WB-57 Aircraft In-situ Trace Gas Data",
"catalog": "LARC_ASDC",
"state_date": "2022-07-14",
"end_date": "2022-09-14",
"bbox": "-180, 16.6, 180, 61.5",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2566342407-LARC_ASDC.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2566342407-LARC_ASDC.html",
"href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections/ACCLIP_TraceGas_AircraftInSitu_WB57_Data.v1",
"description": "ACCLIP_TraceGas_AircraftInSitu_WB57_Data is the in-situ trace gas data collection during the Asian Summer Monsoon Chemical & Climate Impact Project (ACCLIP). Data from the Airborne Carbon Oxide Sulfide Spectrometer (ACOS), Carbon monOxide Measurement from Ames (COMA), Laser Induced Fluorescence - Nitrogen Oxide (LIF-NO), In Situ Airborne Formaldehyde (ISAF), Carbon Oxide Laser Detector 2 (COLD 2), and the NOAA UAS O3 Photometer (UASO3) is featured in this collection. Data collection for this product is complete. ACCLIP is an international, multi-organizational suborbital campaign that aims to study aerosols and chemical transport that is associated with the Asian Summer Monsoon (ASM) in the Western Pacific region from 15 July 2022 to 31 August 2022. The ASM is the largest meteorological pattern in the Northern Hemisphere (NH) during the summer and is associated with persistent convection and large anticyclonic flow patterns in the upper troposphere and lower stratosphere (UTLS). This leads to significant enhancements in the UTLS of trace species that originate from pollution or biomass burning. Convection connected to the ASM occurs over South, Southeast, and East Asia, a region with complex and rapidly changing emissions due to its high population density and economic growth. Pollution that reaches the UTLS from this region can have significant effects on the climate and chemistry of the atmosphere, making it important to have an accurate representation and understanding of ASM transport, chemical, and microphysical processes for chemistry-climate models to characterize these interactions and for predicting future impacts on climate. The ACCLIP campaign is conducted by the National Aeronautics and Space Administration (NASA) and the National Center for Atmospheric Research (NCAR) with the primary goal of investigating the impacts of Asian gas and aerosol emissions on global chemistry and climate. The NASA WB-57 and NCAR G-V aircraft are outfitted with state-of-the-art sensors to accomplish this. ACCLIP seeks to address four scientific objectives related to its main goal. The first is to investigate the transport pathways of ASM uplifted air from inside of the anticyclone to the global UTLS. Another objective is to sample the chemical content of air processed in the ASM in order to quantify the role of the ASM in transporting chemically active species and short-lived climate forcing agents to the UTLS to determine their impact on stratospheric ozone chemistry and global climate. Third, information is obtained on aerosol size, mass, and chemical composition that is necessary for determining the radiative effects of the ASM to constrain models of aerosol formation and for contrasting the organic-rich ASM UTLS aerosol population with that of the background aerosols. Last, ACCLIP seeks to measure the water vapor distribution associated with the monsoon dynamical structure to evaluate transport across the tropopause and determine the role of the ASM in water vapor transport in the stratosphere.",
"license": "not-provided"
},
{
"id": "ACEPOL_AircraftRemoteSensing_AirHARP_Data.v1",
"title": "ACEPOL Airborne Hyper Angular Rainbow Polarimeter (AirHARP) Remotely Sensed Data Version 1",
"catalog": "LARC_ASDC",
"state_date": "2017-10-18",
"end_date": "2020-11-20",
"bbox": "-130, 25, -100, 45",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1758588261-LARC_ASDC.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1758588261-LARC_ASDC.html",
"href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections/ACEPOL_AircraftRemoteSensing_AirHARP_Data.v1",
"description": "ACEPOL Airborne Hyper Angular Rainbow Polarimeter (AirHARP) Remotely Sensed Data (ACEPOL_AircraftRemoteSensing_AirHARP_Data) are remotely sensed measurements collected by the Airborne Hyper Angular Rainbow Polarimeter (AirHARP) onboard the ER-2 during ACEPOL. In order to improve our understanding of the effect of aerosols on climate and air quality, measurements of aerosol chemical composition, size distribution, height profile, and optical properties are of crucial importance. In terms of remotely sensed instrumentation, the most extensive set of aerosol properties can be obtained by combining passive multi-angle, multi-spectral measurements of intensity and polarization with active measurements performed by a High Spectral Resolution Lidar. During Fall 2017, the Aerosol Characterization from Polarimeter and Lidar (ACEPOL) campaign, jointly sponsored by NASA and the Netherlands Institute for Space Research (SRON), performed aerosol and cloud measurements over the United States from the NASA high altitude ER-2 aircraft. Six instruments were deployed on the aircraft. Four of these instruments were multi-angle polarimeters: the Airborne Hyper Angular Rainbow Polarimeter (AirHARP), the Airborne Multiangle SpectroPolarimetric Imager (AirMSPI), the Airborne Spectrometer for Planetary Exploration (SPEX Airborne) and the Research Scanning Polarimeter (RSP). The other two instruments were lidars: the High Spectral Resolution Lidar 2 (HSRL-2) and the Cloud Physics Lidar (CPL). The ACEPOL operation was based at NASA\u2019s Armstrong Flight Research Center in Palmdale California, which enabled observations of a wide variety of scene types, including urban, desert, forest, coastal ocean and agricultural areas, with clear, cloudy, polluted and pristine atmospheric conditions. The primary goal of ACEPOL was to assess the capabilities of the different polarimeters for retrieval of aerosol and cloud microphysical and optical parameters, as well as their capabilities to derive aerosol layer height (near-UV polarimetry, O2 A-band). ACEPOL also focused on the development and evaluation of aerosol retrieval algorithms that combine data from both active (lidar) and passive (polarimeter) instruments. ACEPOL data are appropriate for algorithm development and testing, instrument intercomparison, and investigations of active and passive instrument data fusion, which is a valuable resource for remote sensing communities as they prepare for the next generation of spaceborne MAP and lidar missions.",
"license": "not-provided"
},
{
"id": "ACEPOL_AircraftRemoteSensing_AirSPEX_Data.v1",
"title": "ACEPOL Airborne Spectrometer for Planetary Exploration (AirSPEX) Remotely Sensed Data Version 1",
"catalog": "LARC_ASDC",
"state_date": "2017-10-19",
"end_date": "2017-11-09",
"bbox": "-130, 25, -100, 45",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1758588281-LARC_ASDC.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1758588281-LARC_ASDC.html",
"href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections/ACEPOL_AircraftRemoteSensing_AirSPEX_Data.v1",
"description": "ACEPOL_AircraftRemoteSensing_AirSPEX_Data are remotely sensed measurements collected by the Airborne Spectrometer for Planetary Exploration (SPEX Airborne) onboard the ER-2 during the Aerosol Characterization from Polarimeter and Lidar (ACEPOL) campaign. In order to improve our understanding of the effect of aerosols on climate and air quality, measurements of aerosol chemical composition, size distribution, height profile, and optical properties are of crucial importance. In terms of remotely sensed instrumentation, the most extensive set of aerosol properties can be obtained by combining passive multi-angle, multi-spectral measurements of intensity and polarization with active measurements performed by a High Spectral Resolution Lidar. During Fall 2017, the Aerosol Characterization from Polarimeter and Lidar (ACEPOL) campaign, jointly sponsored by NASA and the Netherlands Institute for Space Research (SRON), performed aerosol and cloud measurements over the United States from the NASA high altitude ER-2 aircraft. Six instruments were deployed on the aircraft. Four of these instruments were multi-angle polarimeters: the Airborne Hyper Angular Rainbow Polarimeter (AirHARP), the Airborne Multiangle SpectroPolarimetric Imager (AirMSPI), the Airborne Spectrometer for Planetary Exploration (SPEX Airborne) and the Research Scanning Polarimeter (RSP). The other two instruments were lidars: the High Spectral Resolution Lidar 2 (HSRL-2) and the Cloud Physics Lidar (CPL). The ACEPOL operation was based at NASA\u2019s Armstrong Flight Research Center in Palmdale California, which enabled observations of a wide variety of scene types, including urban, desert, forest, coastal ocean and agricultural areas, with clear, cloudy, polluted and pristine atmospheric conditions. The primary goal of ACEPOL was to assess the capabilities of the different polarimeters for retrieval of aerosol and cloud microphysical and optical parameters, as well as their capabilities to derive aerosol layer height (near-UV polarimetry, O2 A-band). ACEPOL also focused on the development and evaluation of aerosol retrieval algorithms that combine data from both active (lidar) and passive (polarimeter) instruments. ACEPOL data are appropriate for algorithm development and testing, instrument intercomparison, and investigations of active and passive instrument data fusion, which make them valuable resources for remote sensing communities as they prepare for the next generation of spaceborne MAP and lidar missions.",
"license": "not-provided"
},
{
"id": "ACOS_L2S.v7.3",
"title": "ACOS GOSAT/TANSO-FTS Level 2 Full Physics Standard Product V7.3 (ACOS_L2S) at GES DISC",
"catalog": "GES_DISC",
"state_date": "2009-04-20",
"end_date": "",
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1339230297-GES_DISC.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1339230297-GES_DISC.html",
"href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections/ACOS_L2S.v7.3",
"description": "Version 7.3 is the current version of the data set. Version 3.5 is no longer available and has been superseded by Version 7.3. This data set is currently provided by the OCO (Orbiting Carbon Observatory) Project. In expectation of the OCO-2 launch, the algorithm was developed by the Atmospheric CO2 Observations from Space (ACOS) Task as a preparatory project, using GOSAT TANSO-FTS spectra. After the OCO-2 launch, \"ACOS\" data are still produced and improved, using approaches applied to the OCO-2 spectra. The \"ACOS\" data set contains Carbon Dioxide (CO2) column averaged dry air mole fraction for all soundings for which retrieval was attempted. These are the highest-level products made available by the OCO Project, using TANSO-FTS spectral radiances, and algorithm build version 7.3. The GOSAT team at JAXA produces GOSAT TANSO-FTS Level 1B (L1B) data products for internal use and for distribution to collaborative partners, such as ESA and NASA. These calibrated products are augmented by the OCO Project with additional geolocation information and further corrections. Thus produced Level 1B products (with calibrated radiances and geolocation) are the input to the \"ACOS\" Level 2 production process. Even though the GES DISC is not publicly distributing Level 1B ACOS products, it should be known that changes in this version are affecting both Level 1B and Level 2 data. An important enhancement in Level1B will address the degradation in the number of quality-passed soundings. Elimination of many systematic biases, and better agreement with TCCON (Total Carbon Column Observing Network), is expected in Level 2 retrievals. The key changes to the L2 algorithm include scaling the O2-A band spectroscopy (reducing XCO2 bias by 4 or 5 ppm); using interpolation with the instrument lineshape [ ILS ] (reducing XCO2 bias by 1.5 ppm); and fitting a zero level offset to the A-band. Users have to also carefully familiarize themselves with the disclaimer in the new documentation. An important element to note are the updates on data screening. Although a Master Quality Flag is provided in the data product, further analysis of a larger set of data has allowed the science team to provide an updated set of screening criteria. These are listed in the data user's guide, and are recommended instead of the Master Quality Flag. Lastly, users should continue to carefully observe and weigh information from three important flags: \"warn_level\" - Provides a value that summarizes each sounding's acceptability to a larger set of quality filters. A high warn level predicts that the sounding would fail most data filters applied to it. A low warn level suggests that the sounding would pass most quality filters that might be applied. \"sounding_qual_flag\" - quality of input data provided to the retrieval processing \"outcome_flag\" - retrieval quality based upon certain internal thresholds (not thoroughly evaluated) \"master_quality_flag\" - four possible values: \"Good\", \"Caution\" and \"Bad\", and \"Failed\", as determined from other flags in the L2 productThe short name for this data type is ACOS_L2S.",
"license": "not-provided"
},
{
"id": "ACOS_L2S.v9r",
"title": "ACOS GOSAT/TANSO-FTS Level 2 Full Physics Standard Product V9r (ACOS_L2S) at GES DISC",
"catalog": "GES_DISC",
"state_date": "2009-04-20",
"end_date": "",
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1633158704-GES_DISC.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1633158704-GES_DISC.html",
"href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections/ACOS_L2S.v9r",
"description": "Version 9r is the current version of the data set. Older versions will no longer be available and are superseded by Version 9r. This data set is currently provided by the OCO (Orbiting Carbon Observatory) Project. In expectation of the OCO-2 launch, the algorithm was developed by the Atmospheric CO2 Observations from Space (ACOS) Task as a preparatory project, using GOSAT TANSO-FTS spectra. After the OCO-2 launch, \"ACOS\" data are still produced and improved, using approaches applied to the OCO-2 spectra. The \"ACOS\" data set contains Carbon Dioxide (CO2) column averaged dry air mole fraction for all soundings for which retrieval was attempted. These are the highest-level products made available by the OCO Project, using TANSO-FTS spectral radiances, and algorithm build version 7.3. The GOSAT team at JAXA produces GOSAT TANSO-FTS Level 1B (L1B) data products for internal use and for distribution to collaborative partners, such as ESA and NASA. These calibrated products are augmented by the OCO Project with additional geolocation information and further corrections. Thus produced Level 1B products (with calibrated radiances and geolocation) are the input to the \"ACOS\" Level 2 production process. Even though the GES DISC is not publicly distributing Level 1B ACOS products, it should be known that changes in this version are affecting both Level 1B and Level 2 data. An important enhancement in Level1B will address the degradation in the number of quality-passed soundings. Elimination of many systematic biases, and better agreement with TCCON (Total Carbon Column Observing Network), is expected in Level 2 retrievals. The key changes to the L2 algorithm include scaling the O2-A band spectroscopy (reducing XCO2 bias by 4 or 5 ppm); using interpolation with the instrument lineshape [ ILS ] (reducing XCO2 bias by 1.5 ppm); and fitting a zero level offset to the A-band. Users have to also carefully familiarize themselves with the disclaimer in the new documentation. An important element to note are the updates on data screening. Although a Master Quality Flag is provided in the data product, further analysis of a larger set of data has allowed the science team to provide an updated set of screening criteria. These are listed in the data user's guide, and are recommended instead of the Master Quality Flag. Lastly, users should continue to carefully observe and weigh information from three important flags: \"sounding_qual_flag\" - quality of input data provided to the retrieval processing \"outcome_flag\" - retrieval quality based upon certain internal thresholds (not thoroughly evaluated) ",
"license": "not-provided"
},
{
"id": "ACOS_L2_Lite_FP.v7.3",
"title": "ACOS GOSAT/TANSO-FTS Level 2 bias-corrected XCO2 and other select fields from the full-physics retrieval aggregated as daily files V7.3 (ACOS_L2_Lite_FP) at GES DISC",
"catalog": "GES_DISC",
"state_date": "2009-04-21",
"end_date": "",
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1339230298-GES_DISC.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1339230298-GES_DISC.html",
"href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections/ACOS_L2_Lite_FP.v7.3",
"description": "The ACOS Lite files contain bias-corrected XCO2 along with other select fields aggregated as daily files. Orbital granules of the ACOS Level 2 standard product (ACOS_L2S) are used as input. The \"ACOS\" data set contains Carbon Dioxide (CO2) column averaged dry air mole fraction for all soundings for which retrieval was attempted. These are the highest-level products made available by the OCO Project, using TANSO-FTS spectral radiances. The GOSAT team at JAXA produces GOSAT TANSO-FTS Level 1B (L1B) data products for internal use and for distribution to collaborative partners, such as ESA and NASA. These calibrated products are augmented by the OCO Project with additional geolocation information and further corrections. Thus produced Level 1B products (with calibrated radiances and geolocation) are the input to the \"ACOS\" Level 2 production process.",
"license": "not-provided"
},
{
"id": "ACOS_L2_Lite_FP.v9r",
"title": "ACOS GOSAT/TANSO-FTS Level 2 bias-corrected XCO2 and other select fields from the full-physics retrieval aggregated as daily files V9r (ACOS_L2_Lite_FP) at GES DISC",
"catalog": "GES_DISC",
"state_date": "2009-04-20",
"end_date": "",
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1720416694-GES_DISC.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1720416694-GES_DISC.html",
"href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections/ACOS_L2_Lite_FP.v9r",
"description": "Version 9r is the current version of the data set. Older versions will no longer be available and are superseded by Version 9r. The ACOS Lite files contain bias-corrected XCO2 along with other select fields aggregated as daily files. Orbital granules of the ACOS Level 2 standard product (ACOS_L2S) are used as input. The \"ACOS\" data set contains Carbon Dioxide (CO2) column averaged dry air mole fraction for all soundings for which retrieval was attempted. These are the highest-level products made available by the OCO Project, using TANSO-FTS spectral radiances. The GOSAT team at JAXA produces GOSAT TANSO-FTS Level 1B (L1B) data products for internal use and for distribution to collaborative partners, such as ESA and NASA. These calibrated products are augmented by the OCO Project with additional geolocation information and further corrections. Thus produced Level 1B products (with calibrated radiances and geolocation) are the input to the \"ACOS\" Level 2 production process.",
"license": "not-provided"
},
{
"id": "ACR3L2DM.v1",
"title": "ACRIM III Level 2 Daily Mean Data V001",
"catalog": "LARC",
"state_date": "2000-04-05",
"end_date": "2013-11-09",
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C179031504-LARC.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179031504-LARC.html",
"href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections/ACR3L2DM.v1",
"description": "ACR3L2DM_1 is the Active Cavity Radiometer Irradiance Monitor (ACRIM) III Level 2 Daily Mean Data version 1 product consists of Level 2 total solar irradiance in the form of daily means gathered by the ACRIM III instrument on the ACRIMSAT satellite. The daily means are constructed from the shutter cycle results for each day.",
"license": "not-provided"
},
{
"id": "ACR3L2SC.v1",
"title": "ACRIM III Level 2 Shutter Cycle Data V001",
"catalog": "LARC",
"state_date": "2000-04-05",
"end_date": "2013-11-09",
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C61787524-LARC.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C61787524-LARC.html",
"href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections/ACR3L2SC.v1",
"description": "ACR3L2SC_1 is the Active Cavity Radiometer Irradiance Monitor (ACRIM) III Level 2 Shutter Cycle Data version 1 product contains Level 2 total solar irradiance in the form of shutter cycles gathered by the ACRIM instrument on the ACRIMSAT satellite.",
"license": "not-provided"
},
{
"id": "ADAM.Surface.Reflectance.Database",
"title": "ADAM Surface Reflectance Database v4.0",
"catalog": "ESA",
"state_date": "2005-01-01",
"end_date": "2005-12-31",
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336812-ESA.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336812-ESA.html",
"href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ADAM.Surface.Reflectance.Database",
"description": "ADAM enables generating typical monthly variations of the global Earth surface reflectance at 0.1\u00b0 spatial resolution (Plate Carree projection) and over the spectral range 240-4000nm. The ADAM product is made of gridded monthly mean climatologies over land and ocean surfaces, and of a companion API toolkit that enables the calculation of hyperspectral (at 1 nm resolution over the whole 240-4000 nm spectral range) and multidirectional reflectances (i.e. in any illumination/viewing geometry) depending on user choices. The ADAM climatologies that feed the ADAM calculation tools are: For ocean: monthly chlorophyll concentration derived from SeaWiFS-OrbView-2 (1999-2009); it is used to compute the water column reflectance (which shows large spectral variations in the visible, but is insignificant in the near and mid infrared). monthly wind speed derived from SeaWinds-QuikSCAT-(1999-2009); it is used to calculate the ocean glint reflectance. For land: monthly normalized surface reflectances in the 7 MODIS narrow spectral bands derived from FondsdeSol processing chain of MOD09A1 products (derived from Aqua and Terra observations), on which relies the modelling of the hyperspectral/multidirectional surface (soil/vegetation/snow) reflectance. uncertainty variance-covariance matrix for the 7 spectral bands associated to the normalized surface reflectance. For sea-ice: Sea ice pixels (masked in the original MOD09A1 products) have been accounted for by a gap-filling approach relying on the spatial-temporal distribution of sea ice coverage provided by the CryoClim climatology for year 2005.",
"license": "not-provided"
},
{
"id": "ADEOS_OCTS_L3BM_GAC_OCC_1day",
"title": "ADEOS OCTS L3 GAC Binned Map Ocean Color (OCC) (1-Day)",
"catalog": "JAXA",
"state_date": "1996-11-01",
"end_date": "1997-07-06",
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2698128761-JAXA.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2698128761-JAXA.html",
"href": "https://cmr.earthdata.nasa.gov/stac/JAXA/collections/ADEOS_OCTS_L3BM_GAC_OCC_1day",
"description": "ADEOS OCTS L3BM GAC OCC 1day dataset is obtained from OCTS sensor onboard ADEOS and produced by NASDA (National Space Development Agency of Japan). Advanced Earth Observing Satellite (ADEOS) is sun-synchronous quasi-recurrent orbiter launched on August 17, 1996, and carries OCTS (Ocean Color and Temperature Scanner) and AVNIR (Advanced Visible and Near-Infrared Radiometer) sensor.The main objectives of ADEOS (MIDORI) is to contribute to elucidation of phenomena of the earth system through integrated observation of geophysical parameters using a number of sensors. ADEOS operation on orbit was given up on June 30, 1997, because the generated power was lost due to the accident of the blanket of the solar array paddle breaking. OCTS observes the amount of chlorophyll and various substances contained in the sea, sea surface temperature, cloud formation process, etc by receiving 12 bands of wavelengths from the visible light region to the thermal infrared region. The observation field of OCTS is about 1400km, and it is possible to scan in the north-south direction. Those sensors aim at collecting global data for mainly understanding the state of the ocean and its phenomena. This product is daily L3BM, Level 3 Binned map GAC (Global Area Coverage) OCC (Ocean Color-Chlorophyll-a concentration) product. Level 3 Binned map products are generated from Level 3 Binned products and classified into three subproducts: ocean color, vegetation, and sea surface temperature. GAG OCC product is daily or weekly, monthly, annually integrated. This product is one of the Ocean Color product stores, and these parameters are array of chlorophyll a concentration and palette data. The unit of geophysical quantity in this product is \"mg/m-3\". The provided format is HDF4 format. The image data object, 13m-data, in each binned map product is a byte-valued, 4,096 * 2,048 array of an Equal-Area Rectangular projection of the globe.",
"license": "not-provided"
},
{
"id": "ADEOS_OCTS_L3BM_GAC_OCC_1month",
"title": "ADEOS OCTS L3 GAC Binned Map Ocean Color (OCC) (1-Month)",
"catalog": "JAXA",
"state_date": "1996-11-01",
"end_date": "1997-07-06",
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2698129571-JAXA.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2698129571-JAXA.html",
"href": "https://cmr.earthdata.nasa.gov/stac/JAXA/collections/ADEOS_OCTS_L3BM_GAC_OCC_1month",
"description": "ADEOS OCTS L3BM GAC OCC 1month dataset is obtained from OCTS sensor onboard ADEOS and produced by NASDA (National Space Development Agency of Japan). Advanced Earth Observing Satellite (ADEOS) is sun-synchronous quasi-recurrent orbiter launched on August 17, 1996, and carries OCTS (Ocean Color and Temperature Scanner) and AVNIR (Advanced Visible and Near-Infrared Radiometer) sensor.The main objectives of ADEOS (MIDORI) is to contribute to elucidation of phenomena of the earth system through integrated observation of geophysical parameters using a number of sensors. ADEOS operation on orbit was given up on June 30, 1997, because the generated power was lost due to the accident of the blanket of the solar array paddle breaking. OCTS observes the amount of chlorophyll and various substances contained in the sea, sea surface temperature, cloud formation process, etc by receiving 12 bands of wavelengths from the visible light region to the thermal infrared region. The observation field of OCTS is about 1400km, and it is possible to scan in the north-south direction. Those sensors aim at collecting global data for mainly understanding the state of the ocean and its phenomena. This product is monthly L3BM, Level 3 Binned map GAC (Global Area Coverage) OCC (Ocean Color-Chlorophyll-a concentration) product. Level 3 Binned map products are generated from Level 3 Binned products and classified into three subproducts: ocean color, vegetation, and sea surface temperature. GAG OCC product is daily or weekly, monthly, annually integrate. This product is one of the Ocean Color product stores, and these parameters are array of chlorophyll a concentration and palette data. The unit of geophysical quantity in this product is \"mg/m-3\". The provided format is HDF4 format. The image data object, 13m-data, in each binned map product is a byte-valued, 4,096 * 2,048 array of an Equal-Area Rectangular projection of the globe.",
"license": "not-provided"
},
{
"id": "ADEOS_OCTS_L3BM_GAC_OCC_1week",
"title": "ADEOS OCTS L3 GAC Binned Map Ocean Color (OCC) (1-Week)",
"catalog": "JAXA",
"state_date": "1996-11-01",
"end_date": "1997-07-06",
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2698129911-JAXA.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2698129911-JAXA.html",
"href": "https://cmr.earthdata.nasa.gov/stac/JAXA/collections/ADEOS_OCTS_L3BM_GAC_OCC_1week",
"description": "ADEOS OCTS L3BM GAC OCC 1week dataset is obtained from OCTS sensor onboard ADEOS and produced by NASDA (National Space Development Agency of Japan). Advanced Earth Observing Satellite (ADEOS) is sun-synchronous quasi-recurrent orbiter launched on August 17, 1996, and carries OCTS (Ocean Color and Temperature Scanner) and AVNIR (Advanced Visible and Near-Infrared Radiometer) sensor.The main objectives of ADEOS (MIDORI) is to contribute to elucidation of phenomena of the earth system through integrated observation of geophysical parameters using a number of sensors. ADEOS operation on orbit was given up on June 30, 1997, because the generated power was lost due to the accident of the blanket of the solar array paddle breaking. OCTS observes the amount of chlorophyll and various substances contained in the sea, sea surface temperature, cloud formation process, etc by receiving 12 bands of wavelengths from the visible light region to the thermal infrared region. The observation field of OCTS is about 1400km, and it is possible to scan in the north-south direction. Those sensors aim at collecting global data for mainly understanding the state of the ocean and its phenomena. This product is weekly L3BM, Level 3 Binned map GAC (Global Area Coverage) OCC (Ocean Color-Chlorophyll-a concentration) product. Level 3 Binned map products are generated from Level 3 Binned products and classified into three subproducts: ocean color, vegetation, and sea surface temperature. GAG OCC product is daily or weekly, monthly, annually integrate. This product is one of the Ocean Color product stores, and these parameters are array of chlorophyll a concentration and palette data. The unit of geophysical quantity in this product is \"mg/m-3\". The provided format is HDF4 format. The image data object, 13m-data, in each binned map product is a byte-valued, 4,096 * 2,048 array of an Equal-Area Rectangular projection of the globe.",
"license": "not-provided"
},
{
"id": "ADEOS_OCTS_L3BM_GAC_OCC_1year",
"title": "ADEOS OCTS L3 GAC Binned Map Ocean Color (OCC) (1-Year)",
"catalog": "JAXA",
"state_date": "1996-11-01",
"end_date": "1997-07-06",
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2698131479-JAXA.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2698131479-JAXA.html",
"href": "https://cmr.earthdata.nasa.gov/stac/JAXA/collections/ADEOS_OCTS_L3BM_GAC_OCC_1year",
"description": "ADEOS OCTS L3BM GAC OCC 1year dataset is obtained from OCTS sensor onboard ADEOS and produced by NASDA (National Space Development Agency of Japan). Advanced Earth Observing Satellite (ADEOS) is sun-synchronous quasi-recurrent orbiter launched on August 17, 1996, and carries OCTS (Ocean Color and Temperature Scanner) and AVNIR (Advanced Visible and Near-Infrared Radiometer) sensor.The main objectives of ADEOS (MIDORI) is to contribute to elucidation of phenomena of the earth system through integrated observation of geophysical parameters using a number of sensors. ADEOS operation on orbit was given up on June 30, 1997, because the generated power was lost due to the accident of the blanket of the solar array paddle breaking. OCTS observes the amount of chlorophyll and various substances contained in the sea, sea surface temperature, cloud formation process, etc by receiving 12 bands of wavelengths from the visible light region to the thermal infrared region. The observation field of OCTS is about 1400km, and it is possible to scan in the north-south direction. Those sensors aim at collecting global data for mainly understanding the state of the ocean and its phenomena. This product is annually L3BM, Level 3 Binned map GAC (Global Area Coverage) OCC (Ocean Color-Chlorophyll-a concentration) product. Level 3 Binned map products are generated from Level 3 Binned products and classified into three subproducts: ocean color, vegetation, and sea surface temperature. GAG OCC product is daily or weekly, monthly, annually integrate. This product is one of the Ocean Color product stores, and these parameters are array of chlorophyll a concentration and palette data. The unit of geophysical quantity in this product is \"mg/m-3\". The provided format is HDF4 format. The image data object, 13m-data, in each binned map product is a byte-valued, 4,096 * 2,048 array of an Equal-Area Rectangular projection of the globe.",
"license": "not-provided"
},
{
"id": "ADEOS_OCTS_L3BM_GAC_OCK_1day",
"title": "ADEOS OCTS L3 GAC Binned Map Ocean Color (OCK) (1-Day)",
"catalog": "JAXA",
"state_date": "1996-11-01",
"end_date": "1997-07-06",
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2698130444-JAXA.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2698130444-JAXA.html",
"href": "https://cmr.earthdata.nasa.gov/stac/JAXA/collections/ADEOS_OCTS_L3BM_GAC_OCK_1day",
"description": "ADEOS OCTS L3BM GAC OCK 1day dataset is obtained from OCTS sensor onboard ADEOS and produced by NASDA (National Space Development Agency of Japan). Advanced Earth Observing Satellite (ADEOS) is sun-synchronous quasi-recurrent orbiter launched on August 17, 1996, and carries OCTS (Ocean Color and Temperature Scanner) and AVNIR (Advanced Visible and Near-Infrared Radiometer) sensor.The main objectives of ADEOS (MIDORI) is to contribute to elucidation of phenomena of the earth system through integrated observation of geophysical parameters using a number of sensors. ADEOS operation on orbit was given up on June 30, 1997, because the generated power was lost due to the accident of the blanket of the solar array paddle breaking. OCTS observes the amount of chlorophyll and various substances contained in the sea, sea surface temperature, cloud formation process, etc by receiving 12 bands of wavelengths from the visible light region to the thermal infrared region. The observation field of OCTS is about 1400km, and it is possible to scan in the north-south direction. Those sensors aim at collecting global data for mainly understanding the state of the ocean and its phenomena. This product is daily L3BM, Level 3 Binned map GAC (Global Area Coverage) OCK (Diffuse attenuation coefficient at 490nm(K490)) product. Level 3 Binned map products are generated from Level 3 Binned products and classified into three subproducts: ocean color, vegetation, and sea surface temperature. GAG OCK product is daily or weekly, monthly, annually integrate. This product is one of the Ocean Color product stores, and these parameters are Array of diffuse attenuation coefficient at 490 nm and palette data. The unit of geophysical quantity in this product is \"m-1\". The provided format is HDF4 format. The image data object, 13m-data, in each binned map product is a byte-valued, 4,096 * 2,048 array of an Equal-Area Rectangular projection of the globe.",
"license": "not-provided"
},
{
"id": "ADEOS_OCTS_L3BM_GAC_OCK_1month",
"title": "ADEOS OCTS L3 GAC Binned Map Ocean Color (OCK) (1-Month)",
"catalog": "JAXA",
"state_date": "1996-11-01",
"end_date": "1997-07-06",
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2698131472-JAXA.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2698131472-JAXA.html",
"href": "https://cmr.earthdata.nasa.gov/stac/JAXA/collections/ADEOS_OCTS_L3BM_GAC_OCK_1month",
"description": "ADEOS OCTS L3BM GAC OCK 1month dataset is obtained from OCTS sensor onboard ADEOS and produced by NASDA (National Space Development Agency of Japan). Advanced Earth Observing Satellite (ADEOS) is sun-synchronous quasi-recurrent orbiter launched on August 17, 1996, and carries OCTS (Ocean Color and Temperature Scanner) and AVNIR (Advanced Visible and Near-Infrared Radiometer) sensor.The main objectives of ADEOS (MIDORI) is to contribute to elucidation of phenomena of the earth system through integrated observation of geophysical parameters using a number of sensors. ADEOS operation on orbit was given up on June 30, 1997, because the generated power was lost due to the accident of the blanket of the solar array paddle breaking. OCTS observes the amount of chlorophyll and various substances contained in the sea, sea surface temperature, cloud formation process, etc by receiving 12 bands of wavelengths from the visible light region to the thermal infrared region. The observation field of OCTS is about 1400km, and it is possible to scan in the north-south direction. Those sensors aim at collecting global data for mainly understanding the state of the ocean and its phenomena. This product is monthly L3BM, Level 3 Binned map GAC (Global Area Coverage) OCK (Diffuse attenuation coefficient at 490nm(K490)) product. Level 3 Binned map products are generated from Level 3 Binned products and classified into three subproducts: ocean color, vegetation, and sea surface temperature. GAG OCK product is daily or weekly, monthly, annually integrated. This product is one of the Ocean Color product stores, and these parameters are Array of diffuse attenuation coefficient at 490 nm and palette data. The unit of geophysical quantity in this product is \"m-1\". The provided format is HDF4 format. The image data object, 13m-data, in each binned map product is a byte-valued, 4,096 * 2,048 array of an Equal-Area Rectangular projection of the globe.",
"license": "not-provided"
},
{
"id": "ADEOS_OCTS_L3BM_GAC_OCK_1week",
"title": "ADEOS OCTS L3 GAC Binned Map Ocean Color (OCK) (1-Week)",
"catalog": "JAXA",
"state_date": "1996-11-01",
"end_date": "1997-07-06",
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2698132483-JAXA.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2698132483-JAXA.html",
"href": "https://cmr.earthdata.nasa.gov/stac/JAXA/collections/ADEOS_OCTS_L3BM_GAC_OCK_1week",
"description": "ADEOS OCTS L3BM GAC OCK 1week dataset is obtained from OCTS sensor onboard ADEOS and produced by NASDA (National Space Development Agency of Japan). Advanced Earth Observing Satellite (ADEOS) is sun-synchronous quasi-recurrent orbiter launched on August 17, 1996, and carries OCTS (Ocean Color and Temperature Scanner) and AVNIR (Advanced Visible and Near-Infrared Radiometer) sensor.The main objectives of ADEOS (MIDORI) is to contribute to elucidation of phenomena of the earth system through integrated observation of geophysical parameters using a number of sensors. ADEOS operation on orbit was given up on June 30, 1997, because the generated power was lost due to the accident of the blanket of the solar array paddle breaking. OCTS observes the amount of chlorophyll and various substances contained in the sea, sea surface temperature, cloud formation process, etc by receiving 12 bands of wavelengths from the visible light region to the thermal infrared region. The observation field of OCTS is about 1400km, and it is possible to scan in the north-south direction. Those sensors aim at collecting global data for mainly understanding the state of the ocean and its phenomena. This product is weekly L3BM, Level 3 Binned map GAC (Global Area Coverage) OCK (Diffuse attenuation coefficient at 490nm(K490)) product. Level 3 Binned map products are generated from Level 3 Binned products and classified into three subproducts: ocean color, vegetation, and sea surface temperature. GAG OCK product is daily or weekly, monthly, annually integrate. This product is one of the Ocean Color product stores, and these parameters are Array of diffuse attenuation coefficient at 490 nm and palette data. The unit of geophysical quantity in this product is \"m-1\". The provided format is HDF4 format. The image data object, 13m-data, in each binned map product is a byte-valued, 4,096 * 2,048 array of an Equal-Area Rectangular projection of the globe.",
"license": "not-provided"
},
{
"id": "ADEOS_OCTS_L3BM_GAC_OCK_1year",
"title": "ADEOS OCTS L3 GAC Binned Map Ocean Color (OCK) (1-Year)",
"catalog": "JAXA",
"state_date": "1996-11-01",
"end_date": "1997-07-06",
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2698129238-JAXA.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2698129238-JAXA.html",
"href": "https://cmr.earthdata.nasa.gov/stac/JAXA/collections/ADEOS_OCTS_L3BM_GAC_OCK_1year",
"description": "ADEOS OCTS L3BM GAC OCK 1year dataset is obtained from OCTS sensor onboard ADEOS and produced by NASDA (National Space Development Agency of Japan). Advanced Earth Observing Satellite (ADEOS) is sun-synchronous quasi-recurrent orbiter launched on August 17, 1996, and carries OCTS (Ocean Color and Temperature Scanner) and AVNIR (Advanced Visible and Near-Infrared Radiometer) sensor.The main objectives of ADEOS (MIDORI) is to contribute to elucidation of phenomena of the earth system through integrated observation of geophysical parameters using a number of sensors. ADEOS operation on orbit was given up on June 30, 1997, because the generated power was lost due to the accident of the blanket of the solar array paddle breaking. OCTS observes the amount of chlorophyll and various substances contained in the sea, sea surface temperature, cloud formation process, etc by receiving 12 bands of wavelengths from the visible light region to the thermal infrared region. The observation field of OCTS is about 1400km, and it is possible to scan in the north-south direction. Those sensors aim at collecting global data for mainly understanding the state of the ocean and its phenomena. This product is annually L3BM, Level 3 Binned map GAC (Global Area Coverage) OCK (Diffuse attenuation coefficient at 490nm(K490)) product. Level 3 Binned map products are generated from Level 3 Binned products and classified into three subproducts: ocean color, vegetation, and sea surface temperature. GAG OCK product is daily or weekly, monthly, annually integrate. This product is one of the Ocean Color product stores, and these parameters are Array of diffuse attenuation coefficient at 490 nm and palette data. The unit of geophysical quantity in this product is \"m-1\". The provided format is HDF4 format. The image data object, 13m-data, in each binned map product is a byte-valued, 4,096 * 2,048 array of an Equal-Area Rectangular projection of the globe.",
"license": "not-provided"
},
{
"id": "ADEOS_OCTS_L3BM_GAC_OCL_1day",
"title": "ADEOS OCTS L3 GAC Binned Map Ocean Color (OCL) (1-Day)",
"catalog": "JAXA",
"state_date": "1996-11-01",
"end_date": "1997-07-06",
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2698128801-JAXA.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2698128801-JAXA.html",
"href": "https://cmr.earthdata.nasa.gov/stac/JAXA/collections/ADEOS_OCTS_L3BM_GAC_OCL_1day",
"description": "ADEOS OCTS L3BM GAC OCL 1day dataset is obtained from OCTS sensor onboard ADEOS and produced by NASDA (National Space Development Agency of Japan). Advanced Earth Observing Satellite (ADEOS) is sun-synchronous quasi-recurrent orbiter launched on August 17, 1996, and carries OCTS (Ocean Color and Temperature Scanner) and AVNIR (Advanced Visible and Near-Infrared Radiometer) sensor.The main objectives of ADEOS (MIDORI) is to contribute to elucidation of phenomena of the earth system through integrated observation of geophysical parameters using a number of sensors. ADEOS operation on orbit was given up on June 30, 1997, because the generated power was lost due to the accident of the blanket of the solar array paddle breaking. OCTS observes the amount of chlorophyll and various substances contained in the sea, sea surface temperature, cloud formation process, etc by receiving 12 bands of wavelengths from the visible light region to the thermal infrared region. The observation field of OCTS is about 1400km, and it is possible to scan in the north-south direction. Those sensors aim at collecting global data for mainly understanding the state of the ocean and its phenomena.This product is daily L3BM, Level 3 binned map GAC (Global Area Coverage) OCL (Ocean Color) product includes Normalized water radiance at 412nm,443nm,490nm,520nm, and 565nm (nLw) and aerosol radiance at 670nm,765nm and 865nm. Level 3 Binned map products are generated from Level 3 Binned products and classified into three subproducts: ocean color, vegetation, and sea surface temperature. GAG OCL product is daily or weekly, monthly, annually integrated. This product is one of the Ocean Color product stores, and these parameters are array of normalized water-leaving radiance and aerosol radiance and palette data. The unit of geophysical quantity is \"mW/cm-2/mm-1/sr-1\". The provided format is HDF4 format. The image data object, 13m-data, in each binned map product is a byte-valued, 4,096 * 2,048 array of an Equal-Area Rectangular projection of the globe.",
"license": "not-provided"
},
{
"id": "ADEOS_OCTS_L3BM_GAC_OCL_1month",
"title": "ADEOS OCTS L3 GAC Binned Map Ocean Color (OCL) (1-Month)",
"catalog": "JAXA",
"state_date": "1996-11-01",
"end_date": "1997-07-06",
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2698130286-JAXA.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2698130286-JAXA.html",
"href": "https://cmr.earthdata.nasa.gov/stac/JAXA/collections/ADEOS_OCTS_L3BM_GAC_OCL_1month",
"description": "ADEOS OCTS L3BM GAC OCL 1month dataset is obtained from OCTS sensor onboard ADEOS and produced by NASDA (National Space Development Agency of Japan). Advanced Earth Observing Satellite (ADEOS) is sun-synchronous quasi-recurrent orbiter launched on August 17, 1996, and carries OCTS (Ocean Color and Temperature Scanner) and AVNIR (Advanced Visible and Near-Infrared Radiometer) sensor.The main objectives of ADEOS (MIDORI) is to contribute to elucidation of phenomena of the earth system through integrated observation of geophysical parameters using a number of sensors. ADEOS operation on orbit was given up on June 30, 1997, because the generated power was lost due to the accident of the blanket of the solar array paddle breaking. OCTS observes the amount of chlorophyll and various substances contained in the sea, sea surface temperature, cloud formation process, etc by receiving 12 bands of wavelengths from the visible light region to the thermal infrared region. The observation field of OCTS is about 1400km, and it is possible to scan in the north-south direction. Those sensors aim at collecting global data for mainly understanding the state of the ocean and its phenomena.This product is monthly L3BM, Level 3 binned map GAC (Global Area Coverage) OCL (Ocean Color) product includes Normalized water radiance at 412nm,443nm,490nm,520nm, and 565nm (nLw) and aerosol radiance at 670nm,765nm and 865nm. Level 3 Binned map products are generated from Level 3 Binned products and classified into three subproducts: ocean color, vegetation, and sea surface temperature. GAG OCL product is daily or weekly, monthly, annually integrate. This product is one of the Ocean Color product stores, and these parameters are array of normalized water-leaving radiance and aerosol radiance and palette data. The unit of geophysical quantity is \"mW/cm-2/mm-1/sr-1\". The provided format is HDF4 format. The image data object, 13m-data, in each binned map product is a byte-valued, 4,096 * 2,048 array of an Equal-Area Rectangular projection of the globe.",
"license": "not-provided"
},
{
"id": "AERDT_L2_VIIRS_NOAA20_NRT.v2",
"title": "VIIRS/NOAA-20 Dark Target Aerosol L2 6-Min Swath (v2.0)",
"catalog": "ASIPS",
"state_date": "2023-11-15",
"end_date": "",
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2812413911-ASIPS.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2812413911-ASIPS.html",
"href": "https://cmr.earthdata.nasa.gov/stac/ASIPS/collections/AERDT_L2_VIIRS_NOAA20_NRT.v2",
"description": "The NOAA-20 - formerly the Joint Polar Satellite System-1 (JPSS-1) - Visible Infrared Imaging Radiometer Suite (VIIRS) NASA standard Level-2 (L2) dark target (DT) aerosol product provides satellite-derived measurements of Aerosol Optical Thickness (AOT) and their properties over land and ocean, and spectral AOT and their size parameters over oceans every 6 minutes, globally. The VIIRS incarnation of the DT aerosol product is based on the same DT algorithm that was developed and used to derive products from the Terra and Aqua missions' Moderate Imaging Spectroradiometer (MODIS) instruments. Two separate and distinct DT algorithms exist. One helps retrieve aerosol information over ocean (dark in visible and longer wavelengths), while the second aids retrievals over vegetated/dark-soiled land (dark in the visible wavelengths). This orbit-level product (Short-name: AERDT_L2_VIIRS_NOAA20_NRT) has an at-nadir resolution of 6 km x 6 km, and progressively increases away from nadir given the sensor's scanning geometry and Earth's curvature. Viewed differently, this product's resolution accommodates 8 x 8 native VIIRS moderate-resolution (M-band) pixels that nominally have ~750 m horizontal pixel size. Hence, the Level-2 Dark Target Aerosol Optical Thickness data product incorporates 64 (750 m) pixels over a 6-minute acquisition. This Version-2 set of products is the first collection of the Level-2 Dark Target Aerosol derived from the NOAA-20 VIIRS source. Hence, it bears outlining the differences between the products derived from NOAA-20 VIIRS as against the Suomi National Polar-orbiting Partnership (NOAA20) VIIRS.",
"license": "not-provided"
},
{
"id": "AERIALDIGI",
"title": "Aircraft Scanners",
"catalog": "USGS_LTA",
"state_date": "1987-10-06",
"end_date": "",
"bbox": "-180, 24, -60, 72",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566211-USGS_LTA.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566211-USGS_LTA.html",
"href": "https://cmr.earthdata.nasa.gov/stac/USGS_LTA/collections/AERIALDIGI",
"description": "The National Aeronautics and Space Administration (NASA) Aircraft Scanners data set contains digital imagery acquired from several multispectral scanners, including Daedalus thematic mapper simulator scanners and the thermal infrared multispectral scanner. Data are collected from selected areas over the conterminous United States, Alaska, and Hawaii by NASA ER-2 and NASA C-130B aircraft, operating from the NASA Ames Research Center in Moffett Field, California, and by NASA Learjet aircraft, operating from Stennis Space Center in Bay St. Louis, Mississippi. Limited international acquisitions also are available. In cooperation with the Jet Propulsion Laboratory and Daedalus Enterprises,Inc., NASA developed several multispectral sensors. The data acquired from these sensors supports NASA's Airborne Science and Applications Program and have been identified as precursors to the instruments scheduled to fly on Earth Observing System platforms. THEMATIC MAPPER SIMULATOR The Thematic Mapper Simulator (TMS) sensor is a line scanning device designed for a variety of Earth science applications. Flown aboard NASA ER-2 aircraft, the TMS sensor has a nominal Instantaneous Field of View of 1.25 milliradians with a ground resolution of 81 feet (25 meters) at 65,000 feet. The TMS sensor scans at a rate of 12.5 scans per second with 716 pixels per scan line. Swath width is 8.3 nautical miles (15.4 kilometers) at 65,000 feet while the scanner's Field of View is 42.5 degrees. NS-001 MULTISPECTRAL SCANNER The NS-001multispectral scanner is a line scanning device designed to simulate Landsat thematic mapper (TM) sensor performance, including a near infrared/short-wave infrared band used in applications similar to those of the TM sensor (e.g., Earth resources mapping, vegetation/land cover mapping, geologic studies). Flown aboard NASA C-130B aircraft, the NS-001 sensor has a nominal Instantaneous Field of View of 2.5 milliradians with a ground resolution of 25 feet (7.6 meters) at 10,000 feet. The sensor has a variable scan rate (10 to 100 scans per second) with 699 pixels per scan line, but the available motor drive supply restricts the maximum stable scan speed to approximately 85 revolutions per second. A scan rate of 100 revolutions per second is possible, but not probable, for short scan lines; therefore, a combination of factors, including aircraft flight requirements and maximum scan speed, prevent scanner operation below 1,500 feet. Swath width is 3.9 nautical miles (7.26 kilometers) at 10,000 feet, and the total scan angle or field of regard for the sensor is 100 degrees, plus or minus 15 degrees for roll compensation. THERMAL INFRARED MULTISPECTRAL SCANNER The Thermal Infrared Multispectral Scanner (TIMS) sensor is a line scanning device originally designed for geologic applications. Flown aboard NASA C-130B, NASA ER-2, and NASA Learjet aircraft, the TIMS sensor has a nominal Instantaneous Field of View of 2.5 milliradians with a ground resolution of 25 feet (7.6 meters) at 10,000 feet. The sensor has a selectable scan rate (7.3, 8.7, 12, or 25 scans per second) with 698 pixels per scan line. Swath width is 2.6 nautical miles (4.8 kilometers) at 10,000 feet while the scanner's Field of View is 76.56 degrees.",
"license": "not-provided"
},
{
"id": "AFLVIS1B.v1",
"title": "AfriSAR LVIS L1B Geolocated Return Energy Waveforms V001",
"catalog": "NSIDC_ECS",
"state_date": "2016-02-20",
"end_date": "2016-03-08",
"bbox": "8, -2, 12, 1",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1549378019-NSIDC_ECS.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1549378019-NSIDC_ECS.html",
"href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/AFLVIS1B.v1",
"description": "This data set contains return energy waveform data over Gabon, Africa. The measurements were taken by the NASA Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of a NASA campaign, in collaboration with the European Space Agency (ESA) mission AfriSAR.",
"license": "not-provided"
},
{
"id": "AFLVIS2.v1",
"title": "AfriSAR LVIS L2 Geolocated Surface Elevation Product V001",
"catalog": "NSIDC_ECS",
"state_date": "2016-02-20",
"end_date": "2016-03-08",
"bbox": "8, -2, 12, 1",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1549378743-NSIDC_ECS.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1549378743-NSIDC_ECS.html",
"href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/AFLVIS2.v1",
"description": "This data set contains surface elevation data over Gabon, Africa. The measurements were taken by the NASA Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of a NASA campaign, in collaboration with the European Space Agency (ESA) mission AfriSAR.",
"license": "not-provided"
},
{
"id": "AFOLVIS1A.v1",
"title": "AfriSAR LVIS L1A Geotagged Images V001",
"catalog": "NSIDC_ECS",
"state_date": "2016-02-20",
"end_date": "2016-03-08",
"bbox": "8, -2, 12, 1",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1932134853-NSIDC_ECS.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1932134853-NSIDC_ECS.html",
"href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/AFOLVIS1A.v1",
"description": "This data set contains geotagged images collected over Gabon, Africa. The images were taken by the NASA Digital Mapping Camera paired with the Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of a NASA campaign, in collaboration with the European Space Agency (ESA) mission AfriSAR.",
"license": "not-provided"
},
{
"id": "AG100.v003",
"title": "ASTER Global Emissivity Dataset, 100 meter, HDF5 V003",
"catalog": "LPCLOUD",
"state_date": "2000-01-01",
"end_date": "2008-12-31",
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2763266348-LPCLOUD.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2763266348-LPCLOUD.html",
"href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/AG100.v003",
"description": "Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Emissivity Dataset (GED) land surface temperature and emissivity (LST&E) data products are generated using the ASTER Temperature Emissivity Separation (TES) algorithm with a Water Vapor Scaling (WVS) atmospheric correction method using Moderate Resolution Imaging Spectroradiometer (MODIS) (MOD07) (https://modis-atmos.gsfc.nasa.gov/MOD07_L2/index.html) atmospheric profiles and the MODerate spectral resolution TRANsmittance (MODTRAN 5.2 radiative transfer model). This dataset is computed from all clear-sky pixels of ASTER scenes acquired from 2000 through 2008. AG100 data are available globally at spatial resolution of 100 meters. The National Aeronautics and Space Administration\u2019s (NASA) Jet Propulsion Laboratory (JPL), California Institute of Technology, developed the ASTER GED product. ",
"license": "not-provided"
},
{
"id": "AG1km.v003",
"title": "ASTER Global Emissivity Dataset, 1 kilometer, HDF5 V003",
"catalog": "LPCLOUD",
"state_date": "2000-01-01",
"end_date": "2008-12-31",
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2763266350-LPCLOUD.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2763266350-LPCLOUD.html",
"href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/AG1km.v003",
"description": "Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Emissivity Dataset (GED) land surface temperature and emissivity (LST&E) data products are generated using the ASTER Temperature Emissivity Separation (TES) algorithm with a Water Vapor Scaling (WVS) atmospheric correction method using Moderate Resolution Imaging Spectroradiometer (MODIS) (MOD07) (https://modis-atmos.gsfc.nasa.gov/MOD07_L2/index.html) atmospheric profiles and the MODerate Spectral resolution TRANsmittance (MODTRAN) 5.2 radiative transfer model. This dataset is computed from all clear-sky pixels of ASTER scenes acquired from 2000 through 2008. AG1KM data are available globally at spatial resolution of 1 kilometer. The National Aeronautics and Space Administration\u2019s (NASA) Jet Propulsion Laboratory (JPL), California Institute of Technology, developed the ASTER GED product.",
"license": "not-provided"
},
{
"id": "AG5KMMOH.v041",
"title": "ASTER Global Emissivity Dataset, Monthly, 0.05 deg, HDF5 V041",
"catalog": "LPCLOUD",
"state_date": "2000-03-01",
"end_date": "2015-12-31",
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2763268461-LPCLOUD.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2763268461-LPCLOUD.html",
"href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/AG5KMMOH.v041",
"description": "Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Emissivity Dataset (GED) is a collection of monthly files (see known issues for gaps) for each year of global emissivity. The ASTER GED data products are generated for 2000 through 2015 using the ASTER Temperature Emissivity Separation (TES) algorithm atmospheric correction method. This algorithm method uses Moderate Resolution Imaging Spectroradiometer (MODIS) Atmospheric Profiles product (MOD07) (https://modis-atmos.gsfc.nasa.gov/MOD07_L2/index.html) and the MODerate spectral resolution TRANsmittance (MODTRAN) 5.2 radiative transfer model along with the snow cover data from the standard monthly MODIS/Terra snow cover monthly global 0.05 degree product (MOD10CM) (https://doi.org/10.5067/MODIS/MOD10CM.006), and vegetation information from the MODIS monthly gridded NDVI product (MOD13C2) (https://doi.org/10.5067/MODIS/MOD13C2.006). ASTER GED Monthly V041 data products are offered in Hierarchical Data Format 5 (HDF5). The National Aeronautics and Space Administration\u2019s (NASA) Jet Propulsion Laboratory (JPL), California Institute of Technology, developed the ASTER GED product.",
"license": "not-provided"
},
{
"id": "AIRABRAD.v005",
"title": "AIRS/Aqua L1B AMSU (A1/A2) geolocated and calibrated brightness temperatures V005 (AIRABRAD) at GES DISC",
"catalog": "GES_DISC",
"state_date": "2002-05-21",
"end_date": "",
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1243477366-GES_DISC.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1243477366-GES_DISC.html",
"href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections/AIRABRAD.v005",
"description": "The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. The AMSU-A instrument is co-aligned with AIRS so that successive blocks of 3 x 3 AIRS footprints are contained within one AMSU-A footprint. AMSU-A is primarily a temperature sounder that provides atmospheric information in the presence of clouds, which can be used to correct the AIRS infrared measurements for the effects of clouds. This is possible because non-precipitating clouds are for the most part transparent to microwave radiation, in contrast to visible and infrared radiation which are strongly scattered and absorbed by clouds. AMSU-A1 has 13 channels from 50 - 90 GHz and AMSU-A2 has 2 channels from 23 - 32 GHz. The AIRABRAD_005 products are stored in files (often referred to as \"granules\") that contain 6 minutes of data, 30 footprints across track by 45 lines along track.",
"license": "not-provided"
},
{
"id": "AIRSAR_INT_JPG.v1",
"title": "AIRSAR_ALONGTRACK_INTERFEROMETRY_JPG",
"catalog": "ASF",
"state_date": "1998-10-25",
"end_date": "2004-03-05",
"bbox": "-172.880269, -27.388834, -49.704356, 69.25925",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1213921626-ASF.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1213921626-ASF.html",
"href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections/AIRSAR_INT_JPG.v1",
"description": "AIRSAR along-track interferometric browse product JPG",
"license": "not-provided"
},
{
"id": "AIRSAR_POL_3FP.v1",
"title": "AIRSAR_POLSAR_3_FREQ_POLARIMETRY",
"catalog": "ASF",
"state_date": "1990-03-02",
"end_date": "2004-03-21",
"bbox": "-172.880269, -27.388834, -49.704356, 69.25925",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1213921661-ASF.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1213921661-ASF.html",
"href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections/AIRSAR_POL_3FP.v1",
"description": "AIRSAR three-frequency polarimetric frame product",
"license": "not-provided"
},
{
"id": "AIRSAR_POL_SYN_3FP.v1",
"title": "AIRSAR_POLSAR_SYNOPTIC_3_FREQ_POLARIMETRY",
"catalog": "ASF",
"state_date": "1990-03-29",
"end_date": "1991-07-16",
"bbox": "-172.880269, -27.388834, -49.704356, 69.25925",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1213928843-ASF.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1213928843-ASF.html",
"href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections/AIRSAR_POL_SYN_3FP.v1",
"description": "AIRSAR three-frequency polarimetric synoptic product",
"license": "not-provided"
},
{
"id": "AIRSAR_TOP_C-DEM_STOKES.v1",
"title": "AIRSAR_TOPSAR_C-BAND_DEM_AND_STOKES",
"catalog": "ASF",
"state_date": "1993-06-08",
"end_date": "2004-12-04",
"bbox": "-172.880269, -27.388834, -49.704356, 69.25925",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1213927035-ASF.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1213927035-ASF.html",
"href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections/AIRSAR_TOP_C-DEM_STOKES.v1",
"description": "AIRSAR topographic SAR digital elevation model C_Stokes product",
"license": "not-provided"
},
{
"id": "AIRSAR_TOP_DEM.v1",
"title": "AIRSAR_TOPSAR_DEM",
"catalog": "ASF",
"state_date": "1993-06-08",
"end_date": "2004-12-04",
"bbox": "-172.880269, -27.388834, -49.704356, 69.25925",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C179001730-ASF.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179001730-ASF.html",
"href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections/AIRSAR_TOP_DEM.v1",
"description": "AIRSAR topographic SAR digital elevation model product",
"license": "not-provided"
},
{
"id": "AIRSAR_TOP_DEM_C.v1",
"title": "AIRSAR_TOPSAR_DEM_C",
"catalog": "ASF",
"state_date": "1993-06-08",
"end_date": "2004-12-04",
"bbox": "-172.880269, -27.388834, -49.704356, 69.25925",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1213925022-ASF.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1213925022-ASF.html",
"href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections/AIRSAR_TOP_DEM_C.v1",
"description": "AIRSAR topographic SAR digital elevation model CTIF product",
"license": "not-provided"
},
{
"id": "AIRSAR_TOP_DEM_L.v1",
"title": "AIRSAR_TOPSAR_DEM_L",
"catalog": "ASF",
"state_date": "1993-06-08",
"end_date": "2004-12-04",
"bbox": "-172.880269, -27.388834, -49.704356, 69.25925",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1213926419-ASF.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1213926419-ASF.html",
"href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections/AIRSAR_TOP_DEM_L.v1",
"description": "AIRSAR topographic SAR digital elevation model LTIF product",
"license": "not-provided"
},
{
"id": "AIRSAR_TOP_DEM_P.v1",
"title": "AIRSAR_TOPSAR_DEM_P",
"catalog": "ASF",
"state_date": "1993-06-08",
"end_date": "2004-12-04",
"bbox": "-172.880269, -27.388834, -49.704356, 69.25925",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1213926777-ASF.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1213926777-ASF.html",
"href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections/AIRSAR_TOP_DEM_P.v1",
"description": "AIRSAR topographic SAR digital elevation model PTIF product",
"license": "not-provided"
},
{
"id": "AIRSAR_TOP_L-STOKES.v1",
"title": "AIRSAR_TOPSAR_L-BAND_STOKES",
"catalog": "ASF",
"state_date": "1993-06-08",
"end_date": "2004-12-04",
"bbox": "-172.880269, -27.388834, -49.704356, 69.25925",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1213927939-ASF.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1213927939-ASF.html",
"href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections/AIRSAR_TOP_L-STOKES.v1",
"description": "AIRSAR topographic SAR digital elevation model L_Stokes product",
"license": "not-provided"
},
{
"id": "AIRSAR_TOP_P-STOKES.v1",
"title": "AIRSAR_TOPSAR_P-BAND_STOKES",
"catalog": "ASF",
"state_date": "1993-06-08",
"end_date": "2004-12-04",
"bbox": "-172.880269, -27.388834, -49.704356, 69.25925",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1213928209-ASF.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1213928209-ASF.html",
"href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections/AIRSAR_TOP_P-STOKES.v1",
"description": "AIRSAR topographic SAR digital elevation model P_Stokes product",
"license": "not-provided"
},
{
"id": "AIRSM_CPR_MAT.v3.2",
"title": "AIRS-AMSU variables-CloudSat cloud mask, radar reflectivities, and cloud classification matchups V3.2 (AIRSM_CPR_MAT) at GES DISC",
"catalog": "GES_DISC",
"state_date": "2006-06-15",
"end_date": "2012-12-14",
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1236224182-GES_DISC.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1236224182-GES_DISC.html",
"href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections/AIRSM_CPR_MAT.v3.2",
"description": "This is AIRS-CloudSat collocated subset, in NetCDF 4 format. These data contain collocated: AIRS/AMSU retrievals at AMSU footprints, CloudSat radar reflectivities, and MODIS cloud mask. These data are created within the frames of the MEaSUREs project. The basic task is to bring together retrievals of water vapor and cloud properties from multiple \"A-train\" instruments (AIRS, AMSR-E, MODIS, AMSU, MLS, CloudSat), classify each \"scene\" (instrument look) using the cloud information, and develop a merged, multi-sensor climatology of atmospheric water vapor as a function of altitude, stratified by the cloud classes. This is a large science analysis project that will require the use of SciFlo technologies to discover and organize all of the datasets, move and cache datasets as required, find space/time \"matchups\" between pairs of instruments, and process years of satellite data to produce the climate data records. The short name for this collection is AIRSM_CPR_MAT Parameters contained in the data files include the following: Variable Name|Description|Units CH4_total_column|Retrieved total column CH4| (molecules/cm2) CloudFraction|CloudSat/CALIPSO Cloud Fraction| (None) CloudLayers| Number of hydrometeor layers| (count) clrolr|Clear-sky Outgoing Longwave Radiation|(Watts/m**2) CO_total_column|Retrieved total column CO| (molecules/cm2) CPR_Cloud_mask| CPR Cloud Mask |(None) Data_quality| Data Quality |(None) H2OMMRSat|Water vapor saturation mass mixing ratio|(gm/kg) H2OMMRStd|Water Vapor Mass Mixing Ratio |(gm/kg dry air) MODIS_Cloud_Fraction| MODIS 250m Cloud Fraction| (None) MODIS_scene_var |MODIS scene variability| (None) nSurfStd|1-based index of the first valid level|(None) O3VMRStd|Ozone Volume Mixing Ratio|(vmr) olr|All-sky Outgoing Longwave Radiation|(Watts/m**2) Radar_Reflectivity| Radar Reflectivity Factor| (dBZe) Sigma-Zero| Sigma-Zero| (dB*100) TAirMWOnlyStd|Atmospheric Temperature retrieved using only MW|(K) TCldTopStd|Cloud top temperature|(K) totH2OStd|Total precipitable water vapor| (kg/m**2) totO3Std|Total ozone burden| (Dobson) TSurfAir|Atmospheric Temperature at Surface|(K) TSurfStd|Surface skin temperature|(K) End of parameter information",
"license": "not-provided"
},
{
"id": "AIRS_CPR_IND.v4.0",
"title": "AIRS-CloudSat cloud mask and radar reflectivities collocation indexes V4.0 (AIRS_CPR_IND) at GES_DISC",
"catalog": "GES_DISC",
"state_date": "2006-06-15",
"end_date": "",
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1236224151-GES_DISC.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1236224151-GES_DISC.html",
"href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections/AIRS_CPR_IND.v4.0",
"description": "Version 4.1 is the current version of the data set. Previous versions are no longer available and have been superseded by Version 4.1. This is AIRS-AMSU-CloudSat collocation indexes, in netCDF-4 format. These data map CloudSat profile indexes to the collocated AMSU field of views, and AIRS IR footprints, per AIRS 6-min granule time. Hence it can be considered as Level 1. These data are created within the frames of the MEaSUREs project. The basic task is to bring together retrievals of water vapor and cloud properties from multiple \"A-train\" instruments (AIRS, AMSR-E, MODIS, AMSU, MLS, & CloudSat), classify each \"scene\" (instrument look) using the cloud information, and develop a merged, multi-sensor climatology of atmospheric water vapor as a function of altitude, stratified by the cloud classes. This is a large science analysis project that will require the use of SciFlo technologies to discover and organize all of the datasets, move and cache datasets as required, find space/time \"matchups\" between pairs of instruments, and process years of satellite data to produce the climate data records. The short name for this collection is AIRS_CPR_IND",
"license": "not-provided"
},
{
"id": "AIRS_CPR_MAT.v3.2",
"title": "AIRS-CloudSat cloud mask, radar reflectivities, and cloud classification matchups V3.2 (AIRS_CPR_MAT) at GES DISC",
"catalog": "GES_DISC",
"state_date": "2006-06-15",
"end_date": "2012-12-14",
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1236224153-GES_DISC.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1236224153-GES_DISC.html",
"href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections/AIRS_CPR_MAT.v3.2",
"description": "This is AIRS-CloudSat collocated subset, in NetCDF-4 format. These data contain collocated: AIRS Level 1b radiances spectra, CloudSat radar reflectivities, and MODIS cloud mask. These data are created within the frames of the MEaSUREs project. The basic task is to bring together retrievals of water vapor and cloud properties from multiple \"A-train\" instruments (AIRS, AMSR-E, MODIS, AMSU, MLS, CloudSat), classify each \"scene\" (instrument look) using the cloud information, and develop a merged, multi-sensor climatology of atmospheric water vapor as a function of altitude, stratified by the cloud classes. This is a large science analysis project that will require the use of SciFlo technologies to discover and organize all of the datasets, move and cache datasets as required, find space/time \"matchups\" between pairs of instruments, and process years of satellite data to produce the climate data records. The short name for this collection is AIRS_CPR_MAT Parameters contained in the data files include the following: Variable Name|Description|Units CldFrcStdErr|Cloud Fraction|(None) CloudLayers| Number of hydrometeor layers| (count) CPR_Cloud_mask| CPR Cloud Mask| (None) DEM_elevation| Digital Elevation Map| (m) dust_flag|Dust Flag|(None) latAIRS|AIRS IR latitude|(deg) Latitude|CloudSat Latitude |(degrees) LayerBase| Height of Layer Base| (m) LayerTop| Height of layer top| (m) lonAIRS|AIRS IR longitude|(deg) Longitude|CloudSat Longitude| (degrees) MODIS_cloud_flag| MOD35_bit_2and3_cloud_flag| (None) Radar_Reflectivity| Radar Reflectivity Factor| (dBZe) radiances|Radiances|(milliWatts/m**2/cm**-1/steradian) Sigma-Zero| Sigma-Zero| (dB*100) spectral_clear_indicator|Spectral Clear Indicator|(None) Vertical_binsize|CloudSat vertical binsize| (m) End of parameter information",
"license": "not-provided"
},
{
"id": "AIRXAMAP.v005",
"title": "AIRS/Aqua Granule map product V005 (AIRXAMAP) at GES DISC",
"catalog": "GES_DISC",
"state_date": "2002-05-21",
"end_date": "",
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1233769004-GES_DISC.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1233769004-GES_DISC.html",
"href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections/AIRXAMAP.v005",
"description": "The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. An AIRS granule has been set as 6 minutes of data, 30 footprints cross track by 45 lines along track. The AIRS Granule Map Product consists of images of granule coverage in PDF and JPG format. The images are daily ones but updated every 6 minutes to capture any new available granule. Granules are assembled by ascending, descending, in north and south hemisphere, and the maps are in global cylindrical projection and satellite projection for better view.",
"license": "not-provided"
},
{
"id": "AIRXBCAL.v005",
"title": "AIRS/Aqua L1B Calibration subset V005 (AIRXBCAL) at GES DISC",
"catalog": "GES_DISC",
"state_date": "2002-08-31",
"end_date": "",
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1243477315-GES_DISC.json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1243477315-GES_DISC.html",
"href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections/AIRXBCAL.v005",
"description": "The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. AIRS/Aqua Level-1B calibration subset including clear cases, special calibration sites, random nadir spots, and high clouds. The AIRS Visible/Near Infrared (VIS/NIR) level 1B data set contains AIRS visible and near-infrared calibrated and geolocated radiances in W/m^2/micron/steradian. This data set is generated from AIRS level 1A digital numbers (DN), including 4 channels in the 0.4 to 1.0 um region of the spectrum.",