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Summary of Proposal LAN0685

TitleCARE-X – Change Detection Analysis for the Monitoring of NATURA 2000 habitats using Rapid Eye and TerraSAR-X satellite data
Investigator Schuster, Christian - TU Berlin, Institute of Landscape Architecture and
Team Member
Dr. Förster, Michael - TU Berlin, Geoinformation Processing for Landscape & Environmental Planning
Dipl.-Geogr. Schuster, Christian - TU Berlin, Geoinformation
Professor Kleinschmit, Birgit - TU Berlin, Geoinformation Processing for Landscape & Environmental Planning
Professor Sörgel, Uwe - Universität Hannover, Institut für Photogrammetrie und Geoinformation
Dr.-Ing. Lohmann, Peter - Universität Hannover, Institut für Photogrammetrie und Geoinformation
SummaryThe CARE-X project (support code: 50EE0923) is financed in the framework of the programme „Innovative Informationsprodukte durch synergistische Nutzung von RapidEye und TerraSAR-X Satellitendaten“, set up by the Federal Ministry of Economy and Technology. Among the selected projects for this programme CARE-X represents the focus on natural open landscape. More particular, the project is concerned with the development of remote sensing technology for the European monitoring of NATURA 2000 areas to fulfil the obligations of the EU commission for the member states. The EU Habitats Directive (council directive 92/43/ECC) requires a standardised monitoring of the habitat types and a reporting every six years. For this reason an operational, objective, economically priced and as far as possible automated application must be designed. To this end, information about the structure and composition of the existing vegetation within a growth period are needed. Using satellite data of very high temporal resolution (TVHR) such as RapidEye and TerraSAR-X the most effective acquisition dates for different vegetation types and habitats can be detected. Thus, the major constraint on optical remote sensing for habitat mapping is directly addressed – cloud cover and the need for taking into account phenological status of vegetation respectively. The detection of the sensor and habitat type specific most effective acquisition dates is the central goal of the project. The innovative approach is merely characterized by the fusion of three different data sources. Optical RapidEye and radar TerraSAR-X satellite data as well as optical field spectrometry measurements. In this context, the new TerraSAR-X radar satellite allows for similar geometrical ground resolution products of 6.6m in Stripmap mode and dual polarization compared to Rapid Eye 6.5m as well as high revisit capacity while operating independent from cloud cover. Thus, the need for high temporal resolution is perfectly accomplished by these complementary multi-temporal satellite systems. Previous studies on low resolution SAR data have underlined the potential concerning the discrimination of vegetation and its characteristics. These studies suggest that based on higher ground resolution and improved multi-temporal capabilities as it is the case for TerraSAR-X data significant improvement of land-use classification and monitoring can be achieved. Therefore, the potential of cross-polarized SAR data should be exploited to extract textural and structural vegetation parameters. The main target will be the evaluation, to what degree and for what habitat types it serves as valuable information input regarding the advancement of monitoring concepts in nature conservation.

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