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- Title
Using Remote Sensing of Land Cover Change in Coastal Watersheds to Predict Downstream Water Quality.
- Authors
Huang, Jinliang; Klemas, Victor
- Abstract
Land cover and land use data are important for watershed assessment and runoff modeling. Satellite and airborne remote sensors can map land cover/use effectively. Whenever a strong linkage exists between land cover/use and runoff water quality, remotely sensed land cover trends can help predict long-term changes in water and habitat quality of downstream estuaries and bays. This paper reviews practical remote sensing techniques for land cover change monitoring and presents a case study that relates land cover/use, landscape patterns, and temporal scales to the water quality of runoff from a coastal watershed in SE China. The results of the case study show that the percentage of built-up land was a good predictor for downstream water quality and that the linkage among NH4+ -N, CODMnand landscape variables during wet precipitation years was stronger than during dry precipitation years.
- Subjects
CHINA; LAND cover; LANDSCAPE changes; LAND use &; the environment; REMOTE sensing; RUNOFF analysis; WATER quality monitoring; WATERSHEDS
- Publication
Journal of Coastal Research, 2012, Vol 28, Issue 4, p930
- ISSN
0749-0208
- Publication type
Case Study
- DOI
10.2112/JCOASTRES-D-11-00176.1