Download wildfire hotspots detected by NASA satellites and the Fire Information for Resource Management System (FIRMS)
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Updated
Jun 3, 2024 - Python
Download wildfire hotspots detected by NASA satellites and the Fire Information for Resource Management System (FIRMS)
The Juelich Rapid Spectral Simulation Code (JURASSIC) is a fast infrared radiative transfer model for the analysis of atmospheric remote sensing measurements.
The CCD-Plugin uses Google Earth Engine to get Landsat or Sentinel2 datasets and run the Continuous Change Detection (CCDC) algorithm to analyze the trends and breakpoints of change over multi-year time series at a given coordinate.
NASA-SBG and NSF-ESIIL "HYR-SENSE: Hyperspectral and Thermal Remote Sensing for Environmental Justice" program. Participants will gain hands-on experience with hyperspectral and thermal imaging remote sensing technology and its applications for environmental justice issues.
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A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Quick start guide for benchmarking MagicBathyNet dataset in learning-based bathymetry and pixel-based classification using Remote Sensing imagery.
CARS is a dedicated and open source 3D tool to produce Digital Surface Models from satellite imaging by photogrammetry.
Code and data for Kuro Siwo flood mapping dataset
Intergrate functions of ArcGIS Desktop and ENVI/IDL via python script packages/APIs. Use Jupyter Notebook for codeblock management.
SSFR Software Package
Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024
GRASS GIS - free and open-source geospatial processing engine
A python package that extends Google Earth Engine.
The repository is for Skoltech Master's thesis work on "GAN-based Multi-Image Super-Resolution for Remote Sensing Imagery"
An open source library and framework for deep learning on satellite and aerial imagery.
Official implementation of the paper 'Exploring Robust Features for Few-Shot Object Detection in Satellite Imagery'
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