Abstract

Multi-temporal RS Analysis of LUCC Information Based on Hierarchical Classification
Track: Remote Sensing Imagery
Author(s): Li Li, Gao Hai, Li Zhi

A hierarchical classification framework which uses the statistical result to select different spectral features corresponding to different categories is used to partition the Landsat TM images. The case study is performed by taking XuZhou city as study area and using ENVI software. Its classification accuracy is higher than the artificial nerve network method for the same training and testing data sets. The land cover change is analyzed based on classification results. Finally, based on an overall analysis to Land Use/Cover and vegetation change in Xuzhou city via multi-temporal RS information, it is shown that the increase of construction land is cost of the vegetation and green land.

Li Li
China Coal Research Institute Tangshan Branch
Coal Research Institute Tangshan Branch, Tangshan City Hebei Province, 063012, China
TangShan , Hebei 063012
China
Phone: 86-315-7759350
E-mail: cumtlxl@126.com

Gao Hai
China Coal Research Institute Tangshan Branch
China Coal Research Institute Tangshan Branch, Tangshan City Hebei Province, 063012, China
Tangshan , Hebei 063012
China
Phone: 86-315-7759024
E-mail: gjh9035@163.com

Li Zhi
China Coal Research Institute Tangshan Branch
China Coal Research Institute Tangshan Branch, Tangshan City Hebei Province, 063012, China
Tangshan , Hebei 063012
China
Phone: 86-315-7759713
E-mail: LSZ9686@163.com