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Journal of Integrative Agriculture  2011, Vol. 10 Issue (9): 1419-1430    DOI: 10.1016/S1671-2927(11)60135-1
SOIL & FERTILIZER · AGRI-ECOLOGY & ENVIRONMENT Advanced Online Publication | Current Issue | Archive | Adv Search |
Assessment of L and Suitability Potentials for Selecting Winter Wheat Cultivation Areas in Beijing, China, Using RS and GIS
WANG Da-cheng, LI Cun-jun, SONG Xiao-yu, WANG Ji-hua, YANG Xiao-dong, HUANG Wen-jiang
1. Institute of Agricultural Remote Sensing and Information Technology, Zhejiang University
2. Beijing Research Center for Information Technology in Agriculture
3. Agricultural Technology Extension Station in Beijing
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摘要  It is very important to provide reference basis for winter wheat quality regionalization of cultivation area. The aim of this article was based on factors affecting wheat quality and setting realistic spatial models in each part of the land for assessment of land suitability potentials in Beijing, China. The study employed artificial neural network (ANN) analysis to select factors and evaluate the relative importance of selected environment factors on wheat grain quality. The spatial models were developed and demonstrated their use in selecting the most suitable areas for the winter wheat cultivation. The strategy overcomes the non-accurate traditional statistical methods. Satellite images, toposheet, and ancillary data of the study area were used to find tillable land. These categories were formed by integrating the various layers with corresponding weights in geographical information system (GIS). An integrated land suitability potential (LSP) index was computed considering the contribution of various parameters of land suitability. The study demonstrated that the tillable land could be categorized into spatially distributed agriculture potential zones based on soil nutrient and assembled weather factors using RS and GIS as not suitable, marginally suitable, moderately suitable, suitable, and highly suitable by adopting the logical criteria. The sort of land distribution map made by the factors with their weights showed more truthfulness.

Abstract  It is very important to provide reference basis for winter wheat quality regionalization of cultivation area. The aim of this article was based on factors affecting wheat quality and setting realistic spatial models in each part of the land for assessment of land suitability potentials in Beijing, China. The study employed artificial neural network (ANN) analysis to select factors and evaluate the relative importance of selected environment factors on wheat grain quality. The spatial models were developed and demonstrated their use in selecting the most suitable areas for the winter wheat cultivation. The strategy overcomes the non-accurate traditional statistical methods. Satellite images, toposheet, and ancillary data of the study area were used to find tillable land. These categories were formed by integrating the various layers with corresponding weights in geographical information system (GIS). An integrated land suitability potential (LSP) index was computed considering the contribution of various parameters of land suitability. The study demonstrated that the tillable land could be categorized into spatially distributed agriculture potential zones based on soil nutrient and assembled weather factors using RS and GIS as not suitable, marginally suitable, moderately suitable, suitable, and highly suitable by adopting the logical criteria. The sort of land distribution map made by the factors with their weights showed more truthfulness.
Keywords: 
LSP      ANN      suitable areas      wheat      RS and GIS
  
Received: 14 October 2010   Accepted:
Fund: 

This research was supported by the National Natural Science Foundation of China (40701120), the Beijing Nova Program, China (2008B33), and the Beijing Natural Science Foundation, China (4092016).

Corresponding Authors:  Correspondence WANG Ji-hua, Professor, Tel: +86-10-51503488, Fax: +86-10-51503750, E-mail: wangjh@nercita.org.cn     E-mail:  wangjh@nercita.org.cn
About author:  WANG Da-cheng, Ph D, Tel: +86-10-62754134, Fax: +86-10-51503750, E-mail: wdc198206@163.com

Cite this article: 

WANG Da-cheng, LI Cun-jun, SONG Xiao-yu, WANG Ji-hua, YANG Xiao-dong, HUANG Wen-jiang. 2011. Assessment of L and Suitability Potentials for Selecting Winter Wheat Cultivation Areas in Beijing, China, Using RS and GIS. Journal of Integrative Agriculture, 10(9): 1419-1430.

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