UN-SPIDER's Projects
This repository contains the Python code for the UN-SPIDER Recommended Practice on Burn Severity Mapping.
Hands-on instructions on how to use satellite information for drought monitoring
This repository is a collection of basic scripts - explained in English and Spanish - for analysing landslides using space-based data in Google Earth Engine (GGE), Sentinel Playground or EO Browser. It aims to facilitate working with big data in the cloud as an alternative to using desktop software.
The following is a Python example of the Google Earth Engine API in QGIS, for monitoring and tracking wildfires. In addition, it includes some examples adapted from the examples developed as recommended practices of the UN-SPIDER program.
Provides R-codes for UN-SPIDER Recommended Practices
This repository contains a Jupyter Notebook for automatic flood extent mapping using space-based information.
🌌 SWIRL-course on spatial data in R :globe_with_meridians: