Modeling of Cotton Yields in the Amu Darya River Floodplains of Uzbekistan Integrating Multitemporal Remote Sensing and Minimum Field Data
Shi, Zhou and Rücker, Gerd and Müller, Marc and Conrad, Christopher and Ibragimov, Nazar and Lamers, John P.A. and Martius, Christopher and Strunz, Günter and Dech, Stefan and 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, pp. 1317-1326. The American Society of Agronomy. ISSN 0002-1962.
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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.
|Title:||Modeling of Cotton Yields in the Amu Darya River Floodplains of Uzbekistan Integrating Multitemporal Remote Sensing and Minimum Field Data|
|Date:||11 September 2007|
|Journal or Publication Title:||Agronomy Journal|
|In ISI Web of Science:||Yes|
|Page Range:||pp. 1317-1326|
|Publisher:||The American Society of Agronomy|
|Keywords:||MODIS, Cotton yield, Remote sensing, Light use efficiency, Photosynthetic active radiation, Crop model, Spatially distributed modeling, Aral Sea|
|HGF - Research field:||Aeronautics, Space and Transport|
|HGF - Program:||Space|
|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|
|Institutes and Institutions:||German Remote Sensing Data Center|
|Deposited By:||Dr.rer.nat. Gerd Rücker|
|Deposited On:||27 Sep 2007|
|Last Modified:||22 Apr 2013 14:54|
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