Research of urban greenbelt monitoring based on GPS and RS data

Urban afforesting and greening construction is the basic strategy for landscaping and ecological optimization. Based on 7 scenes of TM imagery covering Fengrun district, Tangshan city during 2001 and 2009, after relative raster preprocessing like geometric correction, image clipping and enhancement, band combination is conducted by means of calculating the principal component of TM image and correlation coefficient of the normalized difference vegetation index (NDVI); in addition it is confirmed that unsupervised classification method can extract greenbelt information more quickly and accurately after comparing both the unsupervised classification and supervised classification method for greenbelt information extraction in the research area.