作者: Da-cheng WANG , Cun-jun LI , Xiao-yu SONG , Ji-hua WANG , Xiao-dong YANG
DOI: 10.1016/S1671-2927(11)60135-1
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摘要: It is very important to provide reference basis for winter wheat quality regionalization of cultivation area. The aim this article was based on factors affecting and setting realistic spatial models in each part the land assessment suitability potentials Beijing, China. study employed artificial neural network (ANN) analysis select evaluate relative importance selected environment grain quality. were developed demonstrated their use selecting most suitable areas cultivation. strategy overcomes non-accurate traditional statistical methods. Satellite images, toposheet, ancillary data area used find tillable land. These categories formed by integrating various layers with corresponding weights geographical information system (GIS). An integrated potential (LSP) index computed considering contribution parameters suitability. that could be categorized into spatially distributed agriculture zones soil nutrient assembled weather using RS GIS as not suitable, marginally moderately highly adopting logical criteria. sort distribution map made showed more truthfulness.