作者: Jinling Zhao , Dongyan Zhang , Dacheng Wang , Wenjiang Huang
DOI: 10.1007/978-3-642-23971-7_33
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摘要: As an important natural resource, cropland plays a key role in ensuring food safety. In this study, 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 specific topographic conditions, vegetation types variable climate environment well growth period of area, texture variables, band ratios, digital elevation model (DEM) its derived slope aspect were added into decision tree classification. Finally, distribution map District classification NLCD mapping tools integrated ERDAS environment. An accuracy evaluation shows that overall is 88.48% 91.85% using GPS sample points statistical data, separately. The result it feasible tool based on imagery.