Title
Fusion Of Multi-Source And Multi-Scale Remote Sensing Data For Water Availability Assessment In A Metropolitan Region
Keywords
GEOS; MODIS; NEXRAD; Satellite remote sensing; Urban watershed management; Water infrastructure
Abstract
Recent extreme hydroclimatic events in the United States alone include, but are not limited to, the droughts in Maryland and the Chesapeake Bay area in 2001 through September 2002; Lake Mead in Las Vegas in 2000 through 2004; the Peace River and Lake Okeechobee in South Florida in 2006; and Lake Lanier in Atlanta, Georgia in 2007 that affected the water resources distribution in three states - Alabama, Florida and Georgia. This paper provides evidence from previous work and elaborates on the future perspectives that will collectively employ remote sensing and in-situ observations to support the implementation of the water availability assessment in a metropolitan region. Within the hydrological cycle, precipitation, soil moisture, and evapotranspiration can be monitored by using WSR-88D/NEXRAD data, RADARSAT-1 images, and GEOS images collectively to address the spatiotemporal variations of quantitative availability of waters whereas the MODIS images may be used to track down the qualitative availability of waters in terms of turbidity, Chlorophyll-a and other constitutes of concern. Tampa Bay in Florida was selected as a study site in this analysis, where the water supply infrastructure covers groundwater, desalination plant, and surface water at the same time. Research findings show that through the proper fusion of multi-source and multi-scale remote sensing data for water availability assessment in metropolitan region, a new insight of water infrastructure assessment can be gained to support sustainable planning region wide. © 2009 Copyright SPIE - The International Society for Optical Engineering.
Publication Date
12-14-2009
Publication Title
Proceedings of SPIE - The International Society for Optical Engineering
Volume
7478
Number of Pages
-
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1117/12.828552
Copyright Status
Unknown
Socpus ID
71549123217 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/71549123217
STARS Citation
Chang, N. B.; Yang, Y. J.; and Daranpob, A., "Fusion Of Multi-Source And Multi-Scale Remote Sensing Data For Water Availability Assessment In A Metropolitan Region" (2009). Scopus Export 2000s. 11286.
https://stars.library.ucf.edu/scopus2000/11286