Research on Extracting Information of Shelterbelt Based on TM Remote Sensing Images
As one kind of the protective plantations, shelterbelts play an important role in agricultural system. For government' s management and decision, it's very important to fast obtain the dynamic change of shelterbelt. In this paper, Dehui City of Jilin Province is selected as a study area, the TM image acquired in 2002 is used as the study data. Based on the characteristic of the study area,land use in this area was divided into six classes-shelterbelt, other plantations, crops, residents, water and unused land. Through the spectral profile of original bands analysis, principal components analysis and the tasseled cap transform analysis, with the decision tree algorithm, the shelterbelt were extracted from the image. A result show that the accuracy is about 85.52％, Base on these analysises,this technique will have a consulting value in the extractions of the protective plantations, and provide technical support for the inspection and management of the protective plantations.
shelterbeltRSdecision tree algorithminformation extraction
NETL
NSTL
万方数据
维普
