Ireland Forest Disturbance from Earth Observation (IForDEO) model
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Updated
Mar 9, 2020 - Python
Ireland Forest Disturbance from Earth Observation (IForDEO) model
A set of utilities which can be used with EODataDown for data analysis. For example, useful plugins and batch processing tools.
Temporary repo for python software carpentry. Reusable functions will probably be incorporated into other projects.
Analyzing urban growth in Nordelta, Argentina with Landsat timelapse animation.
Climate change is a key factor in how extreme weather events affect how ecosystems and species react to these changes in temperatures. University of British Columbia's (UBC) Botanical Garden is interested in improving microclimate information within the garden to understand how areas with shade create respite zones for species. Due to the recent…
Quantification of Forest loss using Satellite data
Reproducible approach to detect deforestation in near real time by NDVI computation of satellite imagery.
🛰 Select a point on the map and see photos of that area taken by Landsat-8 satellite
A convenience tool for accessing Landsat archives
An exploration of NDVI and wine quality using Google Earth Engine and geemap in a Jupyter notebook environment.
Bialowieza forest change maps
Set of Jupyter notebooks and geospatial data developed by the MAPSPADES project to study desertification in the Algerian steppe using EO data.
We have created a few Jupyter Notebooks to use NASA PACE data featuring GeoSpatial's HyperCoast software used to download, view and process the PACE data.
GEE_Colab_Notebooks
This code snippet demonstrates the geospatial analysis and visualization of Equatorial Guinea using Google Earth Engine. It includes layers for slope analysis, gross primary productivity (GPP), normalized burn ratio thermal (NBRT), and normalized difference vegetation index (NDVI)
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