自然资源学报

自然资源学报 ›› 1997, Vol. 12 ›› Issue (2): 97-104.doi: 10.11849/zrzyxb.1997.02.001

• 论文 •    下一篇

中国小麦遥感估产区划研究

千怀遂   

  1. 河南大学地理系, 开封 475001
  • 收稿日期:1996-04-22 修回日期:1996-10-21 出版日期:1997-06-25 发布日期:1997-06-25
  • 作者简介:千怀遂,男,1956年7月出生。1985年7月毕业于河南大学地理系自然地理专业,同年获理学硕士学位。 主要从事环境学问题和气候变化研究,曾发表论文30余篇,专著6部。
  • 基金资助:

    “八五”科技攻关项目

A STUDY ON THE REGIONALIZATION FOR ESTIMATING THE WHEAT YIELD OF CHINA BY USING REMOTE SENSING DATA

Qian Huaisui   

  1. Department of Geography, Henan University, Kaifeng 475001
  • Received:1996-04-22 Revised:1996-10-21 Online:1997-06-25 Published:1997-06-25

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被引次数

14

摘要： 大面积小麦遥感估产区划是一项专项应用区划,主要服务于小麦遥感估产研究与实践。本文结合农作物区划理论和小麦遥感估产的具体要求,并重点考虑后者,提出了小麦遥感估产区划的原则和依据,建立了区划指标体系,藉此把我国分为１４个估产区和３２个估产亚区。

关键词: 小麦, 遥感, 估产, 区划

Abstract: egionalization for estimating the wheat yield by using remote sensing data is the foundation of estimating the wheat yield in a large area by using remote sensing data.It is a special applied regionalization.It intends to offer a spatial framework suitable to the system of the estimation of wheat yield, and to provide the scientific bases for the selection of information sources,temporals of remote sensing,information processing,wheat discrimination,and the estimation methods of wheat area and yield.First,this paper puts forward some regionalization principles.They are the principle of combining the integrative analysis with the analysis of leading factors,the principle of combining the regionalization with classification,the principle of combining crop analysis with the condition analysis of remote sensing,the principle of combining the spatial analysis with the process analysis,the principle of combining the analysis of elements with the analysis of their relations, and the principle of keeping the grass roots administrative regions unbroken.Secondly,it analyses the bases of this regionalization which comprise the spatial differences of ground types and combinations, the succession of crop aspects,the relation of wheat yield to vegetation indices and environmental factors,the atmospheric and soil spectral noise the variance of solar elevation,etc.Thirdly,it works out the schemes about the optimum temporal for the estimation of wheat yield by remote sensing, the information sources of space remote sensing and the land use structure. Finally, it divides the country into 14 regions of crop yield estimation using the optimum temporal as a leading index and the total growing period,the ecological type,the climatic yield and the cropping system as reference indices and 32 subregions of yield estimation taking the ratio of farmland area, and the ratio of planting area of wheat as leading indices and the days of clear sky and the days of overcast sky as reference indices.

Key words: heat, remote sensing, yield estimation, regionalization