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Summary of Proposal LAN3156

Investigator Dumitru, Octavian - DLR, MF-PBA
Team Member
Mr. Danisor, Cosmin - University Politehnica Bucharest (UPB), CeoSpaceTech
Dr. Dumitru, Octavian - DLR, MF-PBA
Prof. Lucas, Richard - Univerity of New South Wales (UNSW), Biological, Earth & Environmental Sciences
Dr. Blonda, Alma - National Research Council (CNR), Institute of Intelligent Systems for Automation (ISSIA)
Dr. Maso, Joan - Autonomous University of Barcelona (UAB), CREAF
SummaryThis proposal shall support the ECOPOTENTIAL project by analysing typical TerraSAR-X data acquired in various modes. ECOPOTENTIAL ( is an approved Horizon 2020 project and aimsat developing widely applicable monitoring indicators for ecosystem status and trends, biodiversity change and ecosystem services. A suite of remote sensing and in-situ observation data will be used tovalidate alreadyexisting essential ecological and environmental protection descriptors. The focus of ECOPOTENTIAL is on selected environmental and ecological protected areas within bio-geographical regions in Europe. With ECOPOTENTIAL, European research on protected areas, ecosystem services, biodiversity loss, and Earth observation is entering a new dimension in terms of spatial scales and big data: -Knowledge acquired and methods developed in ECOPOTENTIAL will be transferred to and applied in other protected areas -Trends in protected areas and their contribution to the delivery of ecosystem services will be detected -Perspectives for novel protected areas will be identified. For the analysis of the TerraSAR-X data we will apply existing software and routines that had been developed during previous project engagements (FP7 projects TELEIOS and OBSERVE as well as ESA’s EOLib project). This reuse of existing analysis software ensures a risk-free study support. In total, we intend to analyse 200 TerraSAR-X images (detected data in StripMap mode, High Resolution SpotLight mode, and Staring SpotLight mode) generated as MGD, GEC and EEC products. In particular, we are interested in image time series of several target areas to monitor phenological changes and effects during a period of 1 to 2 years. As a consequence, we envisage the selection of a mixture of archive data and new measurements. In addition, we will also study the innovation potential of the selected TerraSAR-X images for the monitoring of coastlines. We will deliver our final analysis results to our project partners. The funding for our DLR internal TerraSAR-X analysis activities is secured by the on-going projects.

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