Name: UN-SPIDER
Type: Organization
Bio: UN-SPIDER strengthens capactites of disaster risk management and emergency response stakeholders in using space-based information to support their efforts.
Twitter: un_spider
Location: Bonn
Blog: https://un-spider.org
burn-severity-mapping-eo
This repository contains the Python code for the UN-SPIDER Recommended Practice on Burn Severity Mapping.
drought-svi
Hands-on instructions on how to use satellite information for drought monitoring
landslides
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.
qgis-earthengine-fires-monitoring
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.
r_codes
Provides R-codes for UN-SPIDER Recommended Practices
radar-based-flood-mapping
This repository contains a Jupyter Notebook for automatic flood extent mapping using space-based information.
radar-based-flood-mapping-spanish
spatial_data_in_r
🌌 SWIRL-course on spatial data in R :globe_with_meridians:
un-spider.github.io
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