Priority 1: Understanding disaster risk

Disaster risk management should be based on an understanding of disaster risk in all its dimensions of vulnerability, capacity, exposure of persons and assets, hazard characteristics and the environment. Such knowledge can be used for risk assessment, prevention, mitigation, preparedness and response.

 

Global Urban Footprint (GUF) Precise Map of Human Settlements Location

Mapping of built-up height and share of built-up area for the example of the city of Munich. The estimated average built-up height features a mean absolute error (MAE) of 2.7 m (i.e., less than one floor) and the share of built-up area could be estimated with an MAE of 13.3 %, when compared to a reference data set.

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Global Urban Footprint (GUF) Precise Map of Human Settlements Location

For a comprehensive and objective analysis of the settlement patterns, the DLR additionally developed an approach to display the spatial networks between the mapped settlements. It enables the computation of various form and centrality measures to characterize settlement patterns, at different spatial units, ranging from global to local scale.

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Watching from Space Agricultural Drought Worldwide – using the FAO-ASIS (Agricultural Stress Index System)

The Agricultural Stress Index System (ASIS) is based on 10-day (dekadal) satellite data, of vegetation and land surface temperatures, from the METOP-AVHRR sensor at 1 km resolution. Data for Country-level ASIS is freely available for download from FAO FTP. Time Series Database from 1984.

 

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Copernicus Emergency Management Service (CEMS) – A European Union Concrete Tool to Disaster Risk Reduction in the World

CEMS is a core service of the European Union’s Earth Observation programme Copernicus. It supports all phases of the disaster management cycle by delivering warnings and risk assessments of floods and forest fires and by providing geospatial information derived from satellite images on the impact of natural and man-made disasters all over the world (before, during or after a crisis). The two Mapping services of CEMS (Rapid Mapping, Risk and Recovery Mapping) are delivering products since April 2012.

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Indicator Thresholds for Drought Classification at the Country Level - Developing Indicator Thresholds for South Africa.

Drought classification framework based on a suite of indicators is proposed for South Africa calibration and national adaptation process

 

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Volcano Monitoring using Earth Observing Satellites – CEOS WG Disasters Volcano Pilot

CEOS Disasters Working Group Space agencies organised in the Committee on Earth Observation Satellites (CEOS) formed a permanent Working Group in 2013. Together with volcanologists and Remote Sensing specialists, a Volcano Pilot activity was started with the following aims:

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Drought Monitoring and Assessment in Typical Regions of the Belt and Road – using the CAS-TWAS SDIM’s Drought-Watch System

The Drought-Watch Indices module can calculate five EO-derived drought indices (VCI, TCI, VHI, NDWI, NDDI, and VSWI) and two meteorological indices (SPI and AI) in four temporal scales (day, pentad, dekad and month) by the composition parameters. Both single index and combination index are applied for the drought classification in drought module and the results are demonstrated and saved in different forms.

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