HYPERSPECTRAL VERSUS MULTISPECTRAL SATELLITE DATA FOR URBAN LAND COVER AND LAND USE MAPPING -- BEIJING, AN EVOLVING CITY

摘要

Beijing is currently experiencing rapid land cover and land use (LCLU) changes. Monitoring such changes is necessary since the change information will help to manage land effectively. Remote sensing technique provides timely and accurate information of land cover and land use in urban areas. The objective of this research is to evaluate the feasibility of hyperspectral satellite imagery for urban LCLU mapping and compare the performance of multispectral and hyperspectral data in urban studies. A Chris-Proba image of northern part of Beijing collected from a hyperspectral satellite and an ASTER image collected from a multispectral satellite were analyzed and compared. The results show that hyperspectral satellite imagery is suitable for urban LCLU mapping. In addition, it is demonstrated that the hyperspectral satellite image provides more accurate classification results than those extracted from the multispectral satellite image in urban LCLU mapping.