Quickbird satellite imagery for riparian management: Characterizing riparian filter strips and detecting concentrated flow in an agricultural watershed
Riparian ecology plays an important part in the filtration of sediments from upland agricultural lands. The focus of this work makes use of multispectral high-spatial-resolution remote sensing imagery (Quickbird by Digital Globe) and geographic information systems (GIS) to characterize significant riparian attributes in the USDA experimental watershed, Goodwin Creek, located in northern Mississippi. Significant riparian filter characteristics include the width, vegetation properties, soil properties, topography, and upland land use practices. The land use and vegetation classes are extracted from the remotely sensed image with the supervised Maximum Likelihood classification algorithm. Accuracy assessments resulted in an overall accuracy of 84 percent. In addition to sensing riparian vegetation, this work addresses the issue of concentrated flow bypassing a riparian filter. Results indicate that Quickbird multispectral remote sensing is capable of determining riparian spatial impact on filtering sediment. Quickbird imagery is a viable solution for land managers to monitor the effectiveness of riparian filtration. Copyright ASCE 2005.
World Water Congress 2005: Impacts of Global Climate Change - Proceedings of the 2005 World Water and Environmental Resources Congress
Quickbird satellite imagery for riparian management: Characterizing riparian filter strips and detecting concentrated flow in an agricultural watershed.
World Water Congress 2005: Impacts of Global Climate Change - Proceedings of the 2005 World Water and Environmental Resources Congress, 487.
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/8668