In this study, unsupervised classification method have been used based on the different NDVI images which have different spatial resolution and same temporal, and the macroscopical distribution pattern of East Asian land cover was summed up.

Automatic detection of land cover change based on modified principal component analysis method;

Application of 3S technique on oasis land cover change research—Taking Yutian oasis as an example.;

Study of land cover on Nanji Island using IKONOS images and fractal approach;

Effects of spatial grain size on landscape pattern of land-cover types in the rapidly urbanized region;

Spatial pattern and sustainability of the land-cover of Wufendigou Catchment,Huangfuchuan,Inner Mongolia.;

Fine Classification of Vegetation and Land-cover Change Analysis of Wetlands Based on ALOS and Other Image Data in Yancheng;

The Multi-layer Information Extraction of Landcover from Remotely Sensed Imagery;

On the basis of the image database and vector database of the Keriya Oasis, the paper primarily studies changes of the Keriya Oasis landcover through RS & GIS during the last decade years.

Classification system of land use/cover in mining area based on RS;

Guye district in Tangshang city was become study object,taking three temporal(1987,1992 and 2001) remotely sensed imageries as data resource,and imageries were pretreated by ENVI and interpreted by human-computer interaction,three land use/cover classification map of remotely sensed imageries were obtained,at the same time pixel count of land use/cover types were obtained.

Pixel-based and classification based remote sensed data are the two normal methods during the traditional land use/cover change detection,which make use of the single-source spectral to extract the changed land use/cover information,while texture and other spatial information are neglected.