Objective
This project aims to demonstrate the pre-operational use of EO data for more efficient and cost-effective planning and management of refugee camps. This will be done by developing products and procedures, in close co-operation with major relief-organizations, that can integrate information available from high-resolution EO satellite data directly into the decision-making and operational processes of relief-organizations. The customers will also be involved in product evaluation as the project advances.
The overall objective of the study is:
To develop and evaluate new products from high-resolution EO satellite images for application and exploitation in humanitarian relief operations in customers working environment.
The overall objective will be achieved through the following sub-objectives:
1. To document customer requirementsfor the application of EO data in humanitarian relief-operations 2. To improve existing and develop new methods and products to fill the gap between customer requirements and traditional EO products used by the relief-community 3. To validate, demonstrate and evaluate new and improved products and methods based on high-resolution EO data
4. To produce an extensive report for assessing the efficiency of high-resolution EO data through a heavily customer involved cost/benefit analysis 5. To plan and initiate implementation of EO product exploitation in cooperation with customers
Envisaged products are high-qualilty space maps of refugee camps, roads, surrounding water resources, forests etc. in digital and hardcopy format. Products are to be included in GIS databases. The products and methods will be actively promoted through the Internet-based CEO European Wide Service Exchange (EWSE). By improving existing and developing new products and methods based on high and very-high resolution EO data for the relief-community, humanitarian operations can become more effcient and EO data can thus assist in increasing the number of human lives saved.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencesdatabases
- natural sciencesearth and related environmental scienceshydrology
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringsatellite technology
- social sciencessociologydemographyhuman migrations
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Topic(s)
Call for proposal
Data not availableFunding Scheme
CSC - Cost-sharing contractsCoordinator
5059 BERGEN
Norway