In relation to the response phase of a disaster, the Copernicus GIO Emergency Mapping Service (GIO EMS-Mapping) utilises freely accessible satellite data (such as Sentinel-1imagery), as well as commercial data, to provide all involved actors with timely and accurate geospatial information relating to that particular disaster. The resulting information products can be used as supplied (e.g. as digital or printed map outputs), or may be further combined with other data sources (e.g. as digital feature sets in a geographic information system). In both cases, it is hugely beneficial for supporting geospatial analysis and decision making processes of emergency managers.
In the recovery phase of the disaster management cycle free satellite data is used for loss and damage assessment. For example, through the use of high resolution freely accessible satellite imagery (such as SPOT imagery), it is possible to analyse the amount of land lost to burning following a forest fire. By using free satellite data for loss and damage assessment, this enables emergency managers to more effectively plan how they can go about the recovery/rehabilitation of a disaster struck area.
Free satellite data is also used to aid with Disaster Risk Reduction (DRR). Exposure, vulnerability and risk assessments make use of freely accessible satellite data to map areas that are vulnerable or at high risk to natural disasters, and by utlising this knowledge, emergency managers can increase mitigation efforts in these vulnerable areas in order to reduce the impact of any future occurring disasters. UN-SPIDER is an active member of the Global Partnership, which spearhead efforts regarding the use of Earth Observations and Space-based applications to contribute to the monitoring and implementing of the targets of the Sendai Framework for Disaster Risk Reduction 2015-2030. Explicitely, space-based information can contribute to target b on affected population (e.g. by using of EO-derived population data, downscaling of administrative population data, use of settlement information like the Global Human Settlement Layer or the Global Urban Footprint), to target c on economic loss (e.g. economic loss in the agricultural sector using satellite-derived crop information), to target d on disaster damage to critical infrastructure (e.g. exposure and vulnerability mapping at national level), and target g on early warning and risk information (e.g. using image archives for information on changes in risks over time).