草原煤矿城市土地覆被环境信息提取方法研究——以霍林郭勒市为例

Research on the Method of Extracting Land Cover Environmental Information in Prairie Coal Cities-Taking Huolinguole City As Example

土地覆被是近年来生态环境监测和研究的一个热点问题。文中针对草原煤矿城市的特点 ,提出了基于分类树和BP神经网络的土地覆被环境信息的提取方法 ,并利用GPS对结果进行了随机抽样验证 ,证明采用本方法是完全可行的。

Land cover has been one of popular questions on monitoring and research of ecological environment in recent years. In view of characteristics of prairie coal cities,an extraction method of land cover environmental information based on sort tree and BP neural network is put forward in the paper,which is proved to be feasible through testing the results randomly with GPS.