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Mapping crop distribution in administrative districts of southwest Germany using multi-sensor remote sensing data

Conrad, Christopher and Goessl, Achim and Lex, Sylvia and Metz, Annekatrin and Esch, Thomas and Konrad, Christoph and Goettlicher, Gerold and Dech, Stefan (2010) Mapping crop distribution in administrative districts of southwest Germany using multi-sensor remote sensing data. In: Proceedings of SPIE (7824), pp. 1-9. SPIE Remote Sensing 2010, 2010-09-20 - 2010-09-22, Toulouse, Frankreich.

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In the face of global change, concepts for sustainable land management are increasingly requested, among others to cope with the rapidly increasing energy demand. High resolution land use classifications can contribute spatially explicit information suitable for land use planning. In this study, the coverage of cereal crops was derived for two regions in Baden-Wuerttemberg and Rhineland-Palatinate - Germany, as well as in the Alsace - France, by classifying multitemporal and multi-scale remote sensing data. The presented methodology shall be used as basic input for high resolution bio-energy potential calculations. Segmentation of pan-merged 15 m Landsat 7 ETM+ data and pre-classification with CORINE data was applied to derive homogenous objects assumed to approximate the field boundaries of agricultural areas. Seven acquisitions of moderate resolution IRS-P6 AWiFS data (60 m) recorded during the vegetation period of 2007 were used for the subsequent classification of the objects. Multiple classification and regression trees (random forest) were selected as classification algorithm due to their ability to consider non-linear distributions of class values in the feature space. Training and validation was based on a subset of 1724 samplings of the official European land use survey LUCAS (Land Use/ Cover Area Frame Statistical Survey). Altogether, the object based approach resulted in an overall accuracy of 74 %. The use of 15 m Landsat for mapping field objects were identified to be one major obstacle caused by the characteristically small agricultural units in Southwest Germany. Improvements were also achieved by correcting the LUCAS samples for location errors.

Item URL in elib:https://elib.dlr.de/67200/
Document Type:Conference or Workshop Item (Speech, Paper)
Title:Mapping crop distribution in administrative districts of southwest Germany using multi-sensor remote sensing data
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Goessl, AchimJulius-Maximilians-Universität WürzburgUNSPECIFIEDUNSPECIFIED
Lex, SylviaJulius-Maximilians-Universität WürzburgUNSPECIFIEDUNSPECIFIED
Esch, ThomasUNSPECIFIEDhttps://orcid.org/0000-0002-5868-9045UNSPECIFIED
Konrad, ChristophEuropean Institute for Energy Research UNSPECIFIEDUNSPECIFIED
Goettlicher, GeroldEnBW Energie Baden-Württemberg AGUNSPECIFIEDUNSPECIFIED
Date:22 October 2010
Journal or Publication Title:Proceedings of SPIE
Refereed publication:No
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1-9
Keywords:multi-temporal data, crop classification, random forest, bio-energy potential, IRS-P6 AWiFS
Event Title:SPIE Remote Sensing 2010
Event Location:Toulouse, Frankreich
Event Type:international Conference
Event Start Date:20 September 2010
Event End Date:22 September 2010
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Geowissenschaftl. Fernerkundungs- und GIS-Verfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Metz-Marconcini, Annekatrin
Deposited On:10 Feb 2011 10:24
Last Modified:24 Apr 2024 19:32

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