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Integrating Landsat TM Imagery and See5 Decision-Tree Software for Identifying Croplands: A Case Study in Shunyi District, Beijing

文献类型： 外文期刊

作者： Zhao, Jinling 1 ; Zhang, Dongyan 1 ; Wang, Dacheng 1 ; Huang, Wenjiang 1 ;

作者机构： 1.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

关键词： Band ratios;cropland identification;Landsat TM;See5 decision-tree classification;texture analysis

期刊名称：WEB INFORMATION SYSTEMS AND MINING, PT I （ 影响因子：0.302； ）

ISSN： 0302-9743

年卷期： 2011 年 6987 卷

页码：

收录情况： SCI

摘要： As an important natural resource, cropland plays a key role in ensuring food safety. In this study, an integral method combining Landsat TM imagery and See5 decision-tree software was developed to identify croplands by taking Shunyi District, Beijing as the study area. Considering the specific topographic conditions, vegetation types and variable climate environment as well as growth period of the study area, texture variables, band ratios, digital elevation model (DEM) and its derived slope and aspect were added into decision tree classification. Finally, the cropland distribution map of Shunyi District was derived combining See5 decision tree classification software and NLCD mapping tools integrated in the ERDAS environment. An accuracy evaluation shows that the overall accuracy is 88.48% and 91.85% using GPS sample points and statistical data, separately. The result shows that it is feasible to identify croplands using See5 decision-tree classification tool based on the Landsat TM imagery.

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