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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dc.identifier.uri http://dx.doi.org/10.15488/1116
dc.identifier.uri http://www.repo.uni-hannover.de/handle/123456789/1140
dc.contributor.author Bargiel, Damian
dc.contributor.author Herrmann, Sylvia
dc.contributor.author Lohmann, P.
dc.contributor.author Sörgel, Uwe
dc.date.accessioned 2017-02-03T11:49:04Z
dc.date.available 2017-02-03T11:49:04Z
dc.date.issued 2010
dc.identifier.citation 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
dc.description.abstract 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. eng
dc.language.iso eng
dc.publisher Göttingen : Copernicus GmbH
dc.relation.ispartof ISPRS Technical Commission VII Symposium - 100 Years ISPRS - Advancing Remote Sensing Science, July 05-07, 2010, Vienna, Austria
dc.relation.ispartofseries International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: [100 Years ISPRS Advancing Remote Sensing Science, Pt 1] 38 (2010), Nr. 7B
dc.rights CC BY 3.0
dc.rights.uri https://creativecommons.org/licenses/by/3.0/
dc.subject Ecosystem eng
dc.subject Land Use eng
dc.subject Classification eng
dc.subject Radar eng
dc.subject Multi-temporal eng
dc.subject.ddc 550 | Geowissenschaften ger
dc.title Land use classification with high-resolution satellite radar for estimating the impacts of land use change on the quality of ecosystem services
dc.type article
dc.type conferenceObject
dc.type Text
dc.relation.issn 2194-9034
dc.bibliographicCitation.issue 7B
dc.bibliographicCitation.volume 38
dc.bibliographicCitation.firstPage 68
dc.bibliographicCitation.lastPage 73
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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