DOI: 10.1016/j.gloplacha.2013.08.002
论文题名: Satellite based calculation of spatially distributed crop water requirements for cotton and wheat cultivation in Fergana Valley, Uzbekistan
作者: Conrad C. ; Rahmann M. ; Machwitz M. ; Stulina G. ; Paeth H. ; Dech S.
刊名: Global and Planetary Change
ISSN: 0921-8359
出版年: 2013
卷: 110 起始页码: 88
结束页码: 98
语种: 英语
英文关键词: Crop water requirement
; Fergana Valley
; Object-based classification
; RapidEye
; Remote sensing
; Water management
Scopus关键词: Catchments
; Cotton
; Cultivation
; Decision trees
; Irrigation
; Landforms
; Remote sensing
; Spatial distribution
; Water conservation
; Water management
; Water supply
; Crop water requirements
; Fergana Valley
; Food and agriculture organizations
; Irrigation requirements
; Object-based classifications
; Random forest algorithm
; Rapideye
; Remote sensing classification
; Crops
; accuracy assessment
; algorithm
; cotton
; cultivation
; database
; Food and Agricultural Organization
; image classification
; Landsat
; orchard
; satellite imagery
; spatial distribution
; water management
; water uptake
; wheat
; Ferghana Valley
; Uzbekistan
; Gossypium hirsutum
; Triticum aestivum
英文摘要: This study focuses on the generation of reliable data for improving land and water use in Central Asia. An object-based remote sensing classification is applied and combined with the CropWat model developed by the Food and Agriculture Organization (FAO) to determine crop distribution and water requirements for irrigation of cotton and winter-wheat in Fergana Valley, Uzbekistan. The crop classification is conducted on RapidEye and Landsat data acquired before the onset of the main summer irrigation phases in July using a random forest algorithm. The ClimWat database of FAO is utilized for calculating crop water requirements (CWR) and crop irrigation requirements (CIR).Classification reveals an overall accuracy of 86.2% and exceeds a producer's (user's) accuracy of 95% (89%) for both, cotton and wheat. In 2010, cotton and winter-wheat are planted on 66.7% of the agricultural area under investigation, whereas orchard areas amount to 15.5%. The CWR modelled for winter-wheat and cotton cultivation revealed 5443m3ha-1 and 9278m3ha-1, respectively. Subtracting effective precipitation leads to CIR of 4133m3ha-1 and 8813m3ha-1. Comparisons of CWR and CIR for the area dominating crops with the total of water officially allocated for irrigation underline the pressure on the water resources in the entire Syr Darya catchment and suggest modifications of the cropping system towards more winter crops. The early season crop maps can be used for water saving as they enable modifications of water allocation plans within the different irrigation subsystems of the valley. The method for mapping spatially distributed CWR and CIR can be transferred to other irrigated areas in Central Asia and beyond. © 2013 Elsevier B.V. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84887607665&doi=10.1016%2fj.gloplacha.2013.08.002&partnerID=40&md5=9625767f46bd4c8020e35f0f0feb0ab6
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/11265
Appears in Collections: 全球变化的国际研究计划
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作者单位: Institute of Geography and Geology, University of Wuerzburg, Germany
Recommended Citation:
Conrad C.,Rahmann M.,Machwitz M.,et al. Satellite based calculation of spatially distributed crop water requirements for cotton and wheat cultivation in Fergana Valley, Uzbekistan[J]. Global and Planetary Change,2013-01-01,110.