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Modeling of Cotton Yields in the Amu Darya River Floodplains of Uzbekistan Integrating Multitemporal Remote Sensing and Minimum Field Data

Shi, Zhou und Rücker, Gerd und Müller, Marc und Conrad, Christopher und Ibragimov, Nazar und Lamers, John P.A. und Martius, Christopher und Strunz, Günter und Dech, Stefan und Vlek, Paul L.G. (2007) Modeling of Cotton Yields in the Amu Darya River Floodplains of Uzbekistan Integrating Multitemporal Remote Sensing and Minimum Field Data. Agronomy Journal, 99, Seiten 1317-1326. The American Society of Agronomy. ISSN 0002-1962.

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Offizielle URL: http://agron.scijournals.org/cgi/content/abstract/99/5/1317

Kurzfassung

Increased knowledge about the spatial distribution of cotton (Gossypium hirsutum L.) yield in the Khorezm region in Uzbekistan supports the optimal allocation of resources. This research estimated the spatial distribution of cotton yields in Khorezm by integrating remote sensing, field data, and modeling. The agro-meteorological model used was based on Monteith’s biomass production model with multitemporal MODIS (Moderate Resolution Imaging Spectroradiometer)- derived parameters from 2002 as primary inputs. The photosynthetically active radiation (PAR) and environmental stress scalars on crop development were estimated with meteorological information. Using high-spatial-resolution Landsat 7 ETM+ images, the cotton area was extracted and the cotton fraction determined within the coarse spatial resolution MODIS pixels. The spatial resolution of the MODISFPARdata was improved by using an empirical relationship to the higher-resolution MODIS NDVI (Normalized Difference Vegetation Index) data. The estimated raw cotton yield ranged from 1.09 to 3.76 Mg ha<sup>-1</sup>. The modeling revealed a spatial trend of higher yields in upstream areas and in locations closer to the irrigation channels and lower yields in downstream areas and at sites more distant to the channels. The validated yield estimations showed a 10% deviation from official governmental statistics. The established agro-meteorological model based on freely available MODIS data and a minimum of field data input is a promising technique for economic and operational lateseason estimation of spatially distributed cotton yield over large regions on which management adjustments could be made.

Dokumentart:Zeitschriftenbeitrag
Titel:Modeling of Cotton Yields in the Amu Darya River Floodplains of Uzbekistan Integrating Multitemporal Remote Sensing and Minimum Field Data
Autoren:
AutorenInstitution oder E-Mail-Adresse der Autoren
Shi, ZhouInstitute of Agricultural Remote Sensing and Information System, Zhejiang University, Hangzhou 310029, China
Rücker, Gerdgerd.ruecker@dlr.de
Müller, MarcInstitute for Prospective and Technological Studies, European Commission–Joint Research Center Edificio Expo C/Inca Garcilaso, 41092 Sevilla, Spain
Conrad, ChristopherChristopher.Conrad@uni-wuerzburg.de
Ibragimov, NazarUzbekistan National Cotton Growing Research Institute, P.O. Box Akkavak, 702133 Tashkent, Uzbekistan
Lamers, John P.A.Center for Development Research, University of Bonn, Walter-Flex-Str. 3, 53113 Bonn, Germany
Martius, ChristopherCenter for Development Research, University of Bonn, Walter-Flex-Str. 3, 53113 Bonn, Germany
Strunz, GünterGuenter.Strunz@dlr.de
Dech, Stefanstefan.dech@dlr.de
Vlek, Paul L.G.Center for Development Research, University of Bonn, Walter-Flex-Str. 3, 53113 Bonn, Germany
Datum:11 September 2007
Erschienen in:Agronomy Journal
Referierte Publikation:Ja
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:99
Seitenbereich:Seiten 1317-1326
Verlag:The American Society of Agronomy
ISSN:0002-1962
Status:veröffentlicht
Stichwörter:MODIS, Cotton yield, Remote sensing, Light use efficiency, Photosynthetic active radiation, Crop model, Spatially distributed modeling, Aral Sea
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: Dr.rer.nat. Gerd Rücker
Hinterlegt am:27 Sep 2007
Letzte Änderung:22 Apr 2013 14:54

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