Disaster Risk Reduction

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Disaster Risk Reduction

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  3. Disaster Risk Reduction

Disaster Risk Reduction (DRR) pilot aims to provide an enhanced landslide risk assessment framework based on the statistical analysis of long time series of satellite and geospatial data accessible through the NextGEOSS Data Hub. Focus is given on landslide susceptibility mapping, based on existing models (Copernicus Emergency Management Service models) that incorporate ground velocities estimated from EO SAR data (ERS, ENVISAT, Sentinel-1), registered landslides events based on the inventory provided by IGME (Institute of Geology & Mineral Exploration), other non EO data such as DEM, Slope, Aspect, Geology, Soil properties, Lithology, LU/LC, Faults, precipitation, soil moisture, Seismicity, Drainage density. DRR pilot targets to provide end-users and stakeholders for a pilot area in Greece, with products related to landslides. It offers capabilities and methods to:

1

Transparently query, visualize and access products of relevance to the pilot datasets

2

Deliver a robust and transferable solution for dynamic mapping and monitoring of landslide hazard zones, in complex geo-environmental settings

Quick Facts

GEOGRAPHICAL AREA

The area extend of DRR pilot is covering two regions in Northwestern Greece.

DATA

Several types of data are envisaged to be used under DRR pilot. Specifically, it contains but not limited to:

  • Radar SAR data (ERS-1/2, ENVISAT, Sentinel-1)
  • Yearly ground deformation/velocities
  • Historic landslide inventory
  • other data related to topographic, geological, hydrological, and geomorphological settings
  • In-situ ground observations from field trips are used as well

CONTEXT

Landslide events across the globe are one of the most widespread geo-hazards; each year they cause thousands of deaths, injuries, and damages in critical infrastructures. The occurrence of landslides is really complex, depending on a large number of factors (e.g. L/C, L/U, Soil geologic and geomorphic properties). Currently, there are some initiatives that gather information about landslides events such as the Centre for Research on the Epidemiology of Disasters (CRED), the International Landslide Centre at Durham University, UK, trying to highlight how pervasive and underestimated this hazardous phenomenon really is.

TARGET COMMUNITY

The main target users for this pilot are the Local (Regional level) Civil protection and at national level the Greek Institute of Geology and Mineral Exploration (IGME), as the sole and official geoscientific adviser of the government, dealing with all types of landslide events across all Greek territories.

EXPECTED OUTCOME

Within the context of DRR pilot, several results are exposed such as user-friendly interface allowing end-users and relevant stakeholders to access, view and download:

  1. The analysis of yearly ground displacements & velocities based on historical radar data (SAR – Synthetic Aperture Radar) coming from ERS-1/2, ENVISAT, Sentinel-1
  2. Landslide Inventory Map based on historic landslide events that were recorded from IGME and updated through Persistent Scatterer Interferometry
  3. Landslide Susceptibility index derived from the modelling of all relevant landslide triggering factors (e.g. DEM, Slope angle/aspect, Geology, Soil properties, Lithology); iv) Dynamic Landslide Inventory, based on the refines landslide model and continuous updates from Sentinel-1 SAR data

RESULT ON GCI

It is intended to be shared through GCI processed information and services.

CONSORTIUM PARTNERS

NOA