The objectives of the activity include:

• Access automatically to EO data and other relevant geospatial data
• Integrate in the workflow of the engine platforms and COTS of Earth Observation and Geographic Information Systems
• Generation and/or use of hazard information from EO observable information both about Inland/coastal flood (statistics on maximum water extent) and landslides (empirical model based on deformations)
• Capacity to generate information of elements at risk and vulnerability including workflows to generate selected elements at risk mapping as well as characterize the vulnerability of assets/population using selected available models
• Capacity to produce automatically risk maps using multi hazard (floods and landslides), exposure and vulnerability information
• Allow the system’s users to request and visualize services on demand and perform specific analytics

The use of analytics functions with EO and non-EO data will bring the following benefits:

• Capacity to characterize the vulnerability of assets/population using selected available models (TBD: GEM-like)
• Capacity to produce risk maps using multi hazard (floods and landslides), exposure and vulnerability information
• Capacity to generate loss mapping (e.g. estimation of monetary losses from potential affected building in an area) integrating selected available financial risk model

Features:

• Automatic access to different satellite image providers and to different types of ancillary data in the most automatic way possible.
• Integration of Earth Observation and GIS tools that can be used to insert data in the system.
• Hazards: identification of areas subject to the risk of flooding by time series analysis by using the Land Analytics EO Platform.
• Hazards: integration of external models of terrain deformation to identify landslide-prone areas.
• Exposure: automatic identification of assets such as land use land cover, built up areas, population using high resolution satellite data. Manual definition of assets using very high resolution imagery.
• Vulnerability: application of vulnerability models for an automatic characterization of the vulnerability of the different elements exposed.
• Risk assessment: risk intelligence services including the economic valuation of physical assets