Towards detecting swath events in TerraSAR-X time series to establish NATURA 2000 grassland habitat swath management as monitoring parameter

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Schuster, C.; Ali, I.; Lohmann, P.; Frick, A.; Förster, M. et al.: Towards detecting swath events in TerraSAR-X time series to establish NATURA 2000 grassland habitat swath management as monitoring parameter. In: Remote Sensing 3 (2011), Nr. 7, S. 1308-1322. DOI: https://doi.org/10.3390/rs3071308

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/1252

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Sum total of downloads: 195




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Abstract: 
Spatial monitoring tools are necessary to respond to the threat of global biodiversity loss. At the European scale, remote sensing tools for NATURA 2000 habitat monitoring have been requested by the European Commission to fulfill the obligations of the EU Habitats Directive. This paper introduces a method by which swath events in semi-natural grasslands can be detected from multi-temporal TerraSAR-X data. The investigated study sites represent rare and endangered habitats (NATURA 2000 codes 6410, 6510), located in the Döberitzer Heide nature conservation area west of Berlin. We analyzed a time series of 11 stripmap images (HH-polarization) covering the vegetation period affected by swath (June to September 2010) at a constant 11-day acquisition rate. A swath detection rule was established to extract the swath events for the NATURA 2000 habitats as well as for six contrasting pasture sites not affected by swath. All swath events observed in the field were correctly allocated. The results indicate the potential to allocate semi-natural grassland swath events to 11-day-periods using TerraSAR-X time series. Since the conservation of semi-natural grassland habitats requires compliance with specific swath management rules, the detection of swath events may thus provide new parameters for the monitoring of NATURA 2000 grassland habitats.
License of this version: CC BY-NC-SA 3.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2011
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

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pos. country downloads
total perc.
1 image of flag of Germany Germany 116 59.49%
2 image of flag of United States United States 35 17.95%
3 image of flag of Tunisia Tunisia 14 7.18%
4 image of flag of China China 10 5.13%
5 image of flag of France France 4 2.05%
6 image of flag of No geo information available No geo information available 2 1.03%
7 image of flag of Russian Federation Russian Federation 2 1.03%
8 image of flag of Indonesia Indonesia 2 1.03%
9 image of flag of United Kingdom United Kingdom 2 1.03%
10 image of flag of Latvia Latvia 1 0.51%
    other countries 7 3.59%

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