HR: 0800h
AN: H31F-0733    [Abstracts]
TI: Retrieval of Water Quality Parameters in a Highly Turbid Estuary from Hyperspectral Remote Sensing Imagery
AU: * Hestir, E L
EM: elhestir@ucdavis.edu
AF: University of California Davis, Dept. of Land, Air, and Water Resources One Shields Ave., Davis, CA 95616, United States
AU: * Hestir, E L
EM: elhestir@ucdavis.edu
AF: University of California Davis, Center for Spatial Technologies and Remote Sensing One Shields Ave., Davis, CA 95616, United States
AU: Greenberg, J A
EM: greenberg@ucdavis.edu
AF: University of California Davis, Center for Spatial Technologies and Remote Sensing One Shields Ave., Davis, CA 95616, United States
AU: Ustin, S L
EM: slustin@ucdavis.edu
AF: University of California Davis, Dept. of Land, Air, and Water Resources One Shields Ave., Davis, CA 95616, United States
AU: Ustin, S L
EM: slustin@ucdavis.edu
AF: University of California Davis, Center for Spatial Technologies and Remote Sensing One Shields Ave., Davis, CA 95616, United States
AB: The Sacramento-San Joaquin River Delta is a highly turbid inland estuary that drains into the Pacific Ocean via the San Francisco Bay. The Delta has become a major ecological concern over the past decade, and the decline of the endangered fish, Delta smelt, has been attributed in part to decreasing turbidity in the Delta. Measuring and monitoring turbidity and Secchi disk depth are important to ecosystem health management and water quality monitoring of inland case-2 waters. The spectral determination of water quality parameters is dependent on (i) the inherent optical properties of water, such as the load of total suspended solids, suspended sediments, humic acids and dissolved organic matter, and planktonic content and composition, and (ii) the apparent optical properties of water which depend on both the medium and the geometric structure of light (surface reflectance, vertical diffuse attenuation). Water quality parameters such as turbidity and Secchi disk depth can be retrieved from hyperspectral remote sensing imagery, remote sensing data collected with many narrow spectral bands, using semi-empirical methods that require regression analysis, or from radiative transfer calculations that model apparent optical properties. We compared the accuracy of both semi-empirical and radiative transfer methods to retrieve turbidity and Secchi disk depths from airborne hyperspectral remote sensing imagery (the HyMap sensor, 450-2500 nm, 10-15nm bandwidth) of the Delta collected in June 2007. Results were validated using extensive field data collected concurrent with image acquisition. Additionally, we examined the effect of resampling the hyperspectral data to multispectral resolutions more commonly found on spaceborne instruments on the accuracy of water constituent retrieval from inland, case-2 waters.
DE: 1640 Remote sensing (1855)
DE: 1819 Geographic Information Systems (GIS)
DE: 1855 Remote sensing (1640)
DE: 1871 Surface water quality
DE: 9350 North America
SC: Hydrology [H]
MN: 2007 Fall Meeting