Title
Soil erosion and non-point source pollution impacts assessment with the aid of multi-temporal remote sensing images
Abbreviated Journal Title
J. Environ. Manage.
Keywords
land use classification; remote sensing; environmental impact; assessment; river basin management; erosion control; non-point source; pollution; LAND-COVER CLASSIFICATION; RIVER-BASIN; SENSOR DATA; AREAS; INFORMATION; RUNOFF; MODEL; LANDSCAPE; SPAIN; SCALE; Environmental Sciences
Abstract
Soil erosion associated with non-point source pollution is viewed as a process of land degradation in many terrestrial environments. Careful monitoring and assessment of land use variations with different temporal and spatial scales would reveal a fluctuating interface, punctuated by changes in rainfall and runoff, movement of people, perturbation from environmental disasters, and shifts in agricultural activities and cropping patterns. The use of multi-temporal remote sensing images in support of environmental modeling analysis in a geographic information system (GIS) environment leading to identification of a variety of long-term interactions between land, resources, and the built environment has been a highly promising approach in recent years. This paper started with a series of supervised land use classifications, using SPOT satellite imagery as a means, in the Kao-Ping River Basin, South Taiwan. Then, it was designed to differentiate the variations of eight land use patterns in the past decade, including orchard, farmland, sugarcane field, forest, grassland, barren, community, and water body. Final accuracy was confirmed based on interpretation of available aerial photographs and global positioning system (GPS) measurements. Finally, a numerical simulation model (General Watershed Loading Function, GWLF) was used to relate soil erosion to nonpoint source pollution impacts in the coupled land and river water systems. Research findings indicate that while the decadal increase in orchards poses a significant threat to water quality, the continual decrease in forested land exhibits a potential impact on water quality management. Non-point source pollution, contributing to part of the downstream water quality deterioration of the Kao-Ping River system in the last decade, has resulted in an irreversible impact on land integrity from a long-term perspective. (c) 2005 Elsevier Ltd. All rights reserved.
Journal Title
Journal of Environmental Management
Volume
79
Issue/Number
1
Publication Date
1-1-2006
Document Type
Article
Language
English
First Page
88
Last Page
101
WOS Identifier
ISSN
0301-4797
Recommended Citation
"Soil erosion and non-point source pollution impacts assessment with the aid of multi-temporal remote sensing images" (2006). Faculty Bibliography 2000s. 6475.
https://stars.library.ucf.edu/facultybib2000/6475
Comments
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