Using Remote Sensing of Land Cover Change in Coastal Watersheds to Predict Downstream Water Quality
- 海洋环境－已发表论文 
Huang, J. and Klemas, V., 2012. Using remote sensing of land cover change in coastal watersheds to predict downstream water quality. Journal of Coastal Research, 28(4), 930-944. West Palm Beach (Florida), ISSN 0749-0208. 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, CODMn, and landscape variables during wet precipitation years was stronger than during dry precipitation years.
CitationJOURNAL OF COASTAL RESEARCH，2012,28（4）：930-944