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Potentials of RapidEye time series for improved classification of crop rotations in heterogeneous agricultural landscapes: Experiences from irrigation systems in Central Asia

Conrad, Christopher und Machwitz, Miriam und Schorcht, Gunther und Löw, Fabian und Fritsch, Sebastian und Dech, Stefan (2011) Potentials of RapidEye time series for improved classification of crop rotations in heterogeneous agricultural landscapes: Experiences from irrigation systems in Central Asia. In: Proceedings of SPIE, 8174. SPIE Remote Sensing 2011, 19.-22. Sep. 2011, Prague, Czech Republic. ISBN 9780819488015.

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Kurzfassung

In Central Asia, more than eight Million ha of agricultural land are under irrigation. But severe degradation problems and unreliable water distribution have caused declining yields during the past decades. Reliable and area-wide information about crops can be seen as important step to elaborate options for sustainable land and water management. Experiences from RapidEye classifications of crop in Central Asia are exemplarily shown during a classification of eight crop classes including three rotations with winter wheat, cotton, rice, and fallow land in the Khorezm region of Uzbekistan covering 230,000 ha of irrigated land. A random forest generated by using 1215 field samples was applied to multitemporal RapidEye data acquired during the vegetation period 2010. But RapidEye coverage varied and did not allow for generating temporally consistent mosaics covering the entire region. To classify all 55,188 agricultural parcels in the region three classification zones were classified separately. The zoning allowed for including at least three observation periods into classification. Overall accuracy exceeded 85 % for all classification zones. Highest accuracies of 87.4 % were achieved by including five spatiotemporal composites of RapidEye. Class-wise accuracy assessments showed the usefulness of selecting time steps which represent relevant phenological phases of the vegetation period. The presented approach can support regional crop inventory. Accurate classification results in early stages of the cropping season permit recalculation of crop water demands and reallocation of irrigation water. The high temporal and spatial resolution of RapidEye can be concluded highly beneficial for agricultural land use classifications in entire Central Asia.

Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Potentials of RapidEye time series for improved classification of crop rotations in heterogeneous agricultural landscapes: Experiences from irrigation systems in Central Asia
Autoren:
AutorenInstitution oder E-Mail-Adresse der Autoren
Conrad, Christopherchristopher.conrad@uni-wuerzburg.de
Machwitz, MiriamNICHT SPEZIFIZIERT
Schorcht, Gunthergunther.schorcht@uni-wuerzburg.de
Löw, Fabianfabian.loew@uni-wuerzburg.de
Fritsch, Sebastiansebastian.fritsch@uni-wuerzburg.de
Dech, Stefanstefan.dech@dlr.de
Datum:2011
Erschienen in:Proceedings of SPIE
Referierte Publikation:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Band:8174
Herausgeber:
HerausgeberInstitution und/oder E-Mail-Adresse der Herausgeber
Neale , Christopher NICHT SPEZIFIZIERT
Maltese , Antonino NICHT SPEZIFIZIERT
Name der Reihe:Remote Sensing for Agriculture, Ecosystems, and Hydrology
ISBN:9780819488015
Status:veröffentlicht
Stichwörter:Remote Sensing, Central Asia, Rapid Eye, Accuracy, Agriculture
Veranstaltungstitel:SPIE Remote Sensing 2011
Veranstaltungsort:Prague, Czech Republic
Veranstaltungsart:internationale Konferenz
Veranstaltungsdatum:19.-22. Sep. 2011
HGF - Forschungsbereich:Verkehr und Weltraum (alt)
HGF - Programm:Weltraum (alt)
HGF - Programmthema:W EO - Erdbeobachtung
DLR - Schwerpunkt:Weltraum
DLR - Forschungsgebiet:W EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):W - Vorhaben Geowissenschaftl. Fernerkundungs- und GIS-Verfahren (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Deutsches Fernerkundungsdatenzentrum
Hinterlegt von: Carina Kübert
Hinterlegt am:02 Nov 2011 10:47
Letzte Änderung:02 Nov 2011 10:47

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