Recommended Practices

Burn severity mapping

When using space technologies for disaster risk management and emergency response, it is not only important to have access to space-based data and software, but also to workflows for processing and mapping the data in order to develop information products and gain insights into hazards.

For this reason, UN-SPIDER is joining efforts with a wide range of partners and its network of Regional Support Offices to provide step-by-step procedures, so-called Recommended Practices, that have proven effective in creating information products based on remote sensing to assess hazards such as floods, drought and forest fires.

Recommended Practices make use of data from different satellites and sensors, for instance Landsat 8 and Sentinel-2. To allow as many interested users as possible to use these procedures, UN-SPIDER makes them available in a growing variety of GIS software packages and programming languages such as QGIS, R and Python.

Each Recommended Practice consists of an overview, a step-by-step and in detail page. To see all software packages and programming languages a Recommended Practice is available in, navigate to its step-by-step page.

As part of its technical advisory support activities, UN-SPIDER regularly trains civil protection agencies and other stakeholders in developing countries in using the Recommended Practices to develop information product that support that disaster management and emergency response efforts.

If you have questions or wish to share your own experience in applying these Recommended Practices, please contact us.

Browse Recommended Practices

Title Software used Related dataset
How to measure SFDRR target B5 - estimation of the number of people affected by drought in Eastern Cape, South Africa
Recommended Practice: Burn Severity Mapping RStudio, QGIS, Google Earth Engine (Google)
Recommended Practice: Drought monitoring using the Standard Vegetation Index (SVI) R CRAN(Comprehensive R Archive Network), Python, RStudio
Recommended Practice: Drought monitoring using the Vegetation Condition Index (VCI) ENVI (Exelis), R CRAN(Comprehensive R Archive Network), Python, RStudio
Recommended Practice: Exposure Mapping QGIS
Recommended Practice: Flood Hazard Assessment HEC-RAS Hydrologic Engineering Centers River Analysis System (US Army Corps of Engineers)
Recommended Practice: Flood Hazard Mapping ArcGIS Desktop (esri), ArcHydroTools, HEC-GeoHMS - Hydrologic Engineering Center, HEC-GeoRAS - Hydrologic Engineering Center
Recommended Practice: Flood Mapping and Damage Assessment using Sentinel-2 (S2) Optical Data QGIS
Recommended Practice: Mudslides and Associated Flood Detection Using Sentinel-1 Data Sentinel Application Platform (SNAP), QGIS
Recommended Practice: Radar-based Flood Mapping Google Earth (google), Sentinel Application Platform (SNAP)
Recommended Practice: Use of Digital Elevation Data for Storm Surge Coastal Flood Modelling QGIS
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