Land use classification with high-resolution satellite radar for estimating the impacts of land use change on the quality of ecosystem services

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Bargiel, D.; Herrmann, S.; Lohmann, P.; Soergel, U.: Land use classification with high-resolution satellite radar for estimating the impacts of land use change on the quality of ecosystem services. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: [100 Years ISPRS Advancing Remote Sensing Science, Pt 1] 38 (2010), Nr. 7B, S. 68-73

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Sum total of downloads: 204

Ecosystems provide several services for human well-being. The quality of these ecosystem services is among others affected by agriculture, the main land user in Europe. Thus, it is essential to provide information about land use in agricultural areas. In this research, land use classification of agricultural areas is carried out based on high-resolution Spotlight TerraSAR-X images (TSX-images) of two different polarisations (HH and VV). A stack of several radar images taken during the vegetation season is used for multi-temporal classification of land cover. The typical phenology of agricultural vegetation types and their individual phenological development during the year cause differences in the backscatter of the radar signal over time. Two different study areas are investigated, one in the North East of the city of Hannover, Germany called "Fuhrberger Feld" and one in the "Gorajec area" in the very South East of Poland. These two areas represent extremely diverse European regions with regard to agro-technological level, population density, cultivation form as well as geological and geomorphological conditions. Thereby, the radar signal backscatter for different regions is tested. Preliminary results show significant differences in the backscatter of crop types in SAR data of about 3 m, especially for grasslands, grain and broad-leaved crops. Furthermore the VV polarised radar signal has clearly lower backscattering for grains during summertime and for grasslands in general than for broad-leaved crops.
License of this version: CC BY 3.0 Unported
Document Type: article
Publishing status: publishedVersion
Issue Date: 2010
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

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pos. country downloads
total perc.
1 image of flag of Germany Germany 146 71.57%
2 image of flag of United States United States 9 4.41%
3 image of flag of Belgium Belgium 6 2.94%
4 image of flag of Taiwan Taiwan 5 2.45%
5 image of flag of India India 4 1.96%
6 image of flag of United Kingdom United Kingdom 4 1.96%
7 image of flag of Iran, Islamic Republic of Iran, Islamic Republic of 3 1.47%
8 image of flag of Brazil Brazil 3 1.47%
9 image of flag of Indonesia Indonesia 2 0.98%
10 image of flag of Canada Canada 2 0.98%
    other countries 20 9.80%

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