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    • This repository contains the Python code for the UN-SPIDER Recommended Practice on Burn Severity Mapping.
      Jupyter Notebook
      91600Updated Jul 30, 2024Jul 30, 2024
    • This repository contains a Jupyter Notebook for automatic flood extent mapping using space-based information.
      Jupyter Notebook
      GNU Affero General Public License v3.0
      253700Updated Feb 21, 2023Feb 21, 2023
    • Hands-on instructions on how to use satellite information for drought monitoring
      Jupyter Notebook
      9801Updated Nov 8, 2021Nov 8, 2021
    • Jupyter Notebook
      GNU Affero General Public License v3.0
      0100Updated Mar 10, 2021Mar 10, 2021
    • HTML
      MIT License
      0000Updated Feb 12, 2021Feb 12, 2021
    • 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.
      Jupyter Notebook
      MIT License
      2200Updated Aug 25, 2020Aug 25, 2020
    • 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.
      JavaScript
      GNU General Public License v3.0
      4100Updated Jul 29, 2020Jul 29, 2020
    • 🌌 SWIRL-course on spatial data in R 🌐
      R
      1200Updated Jan 31, 2019Jan 31, 2019
    • R_Codes

      Public
      Provides R-codes for UN-SPIDER Recommended Practices
      R
      1100Updated Dec 7, 2018Dec 7, 2018