Author(s): Shu-Kuang Ning; Ni-Bin Chang
Linked Author(s):
Keywords: Land use classification; River basin management; Remote sensing; Nonpoint sources pollution control
Abstract: A fast identification of land use patterns in a river basin using satellite image as a means has been highly anticipated for various environmental management applications. To achieve this goal, the state-of-the-art 3S information technology by properly integrating the skills of remote sensing (RS), geographic information system (GIS), and global positioning system (GPS) is viewed as an important means for watershed land-use classification. A supervised classification process was applied to analyze the land-use patterns leading to classifying orchard, farmland, sugarcane farm, forest, grassland, barren, community, and water body in the Kao-Ping River Basin, Taiwan. Final accuracy can be confirmed by using available aerial photographs simultaneously or separately for ground truth verification. Based on such a database, simulation analysis of nonpoint source pollution impacts may demonstrate its potentials.
Year: 2002