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Remote Sensing of Selected Water-Quality Indicators with the Hyperspectral Imager for the Coastal Ocean (HICO) Sensor
Keith, D., B. Schaeffer, R. Lunetta, R. Gould, Jr., K. Rocha, AND D. Cobb. Remote Sensing of Selected Water-Quality Indicators with the Hyperspectral Imager for the Coastal Ocean (HICO) Sensor. INTERNATIONAL JOURNAL OF REMOTE SENSING. Taylor & Francis, Inc., Philadelphia, PA, 35(9):2927-2962, (2014).
Satellite imagery and spectral data from the Hyperspectral Imager for Coastal Ocean on the International Space Station will map the magnitude and spatial extent of water quality indicators such chlorophyll a concentrations, turbidity, and colored dissolved organic matter at multiple spatial scales for Pensacola Bay, Choctawhatchee Bay, St. Andrew Bay and St. Joseph Bay along the Florida Panhandle from 2009-2012. The data generated from this research will be incorporated into a prototype Smartphone app for use by the EPA Office of Water and Regional Offices.
The Hyperspectral Imager for the Coastal Ocean (HICO) offers the coastal environmental monitoring community an unprecedented opportunity to observe changes in coastal and estuarine water quality across a range of spatial scales not feasible with traditional field-based monitoring or existing ocean color satellites. HICO, an Office of Naval Research sponsored program, is the first space-based maritime hyperspectral imaging instrument designed specifically for the coastal ocean. HICO has been operating since September 2009 from the Japanese Experiment Module - Exposed Facility on the International Space Station (ISS). The high pixel resolution (approximately 95 m at nadir) and hyperspectral imaging capability offer a unique opportunity for characterizing a wide range of water color constituents that could be used to assess environmental condition. In this study, we transform atmospherically-corrected ISS/HICO hyperspectral imagery and derive environmental response variables routinely used for evaluating the environmental condition of coastal ecosystem resources. Using atmospherically corrected HICO imagery and a comprehensive field validation program, three regionally specific algorithms were developed to estimate basic water quality properties traditionally measured by monitoring agencies. Results indicated that a three band chlorophyll a algorithm performed best (R2 = 0.82) when compared with in situ measurement data collected 2–4 hours of HICO acquisitions. Colored dissolved organic matter (CDOM) (R2 = 0.93), and turbidity (R2 = 0.67) were also highly correlated. The distribution of these water quality indicators were mapped for four estuaries along the northwest coast of Florida from April 2010 – May 2012. Limitations associated with HICO applications included instrument calibration in the blue-green portion of the spectrum, availability of integrated radiative transfer software packages to support atmospheric corrections, the non-polar, low altitude orbit of the ISS , and narrow swath width of the sensor.
Record Details:Record Type: DOCUMENT (JOURNAL/PEER REVIEWED JOURNAL)
Organization:U.S. ENVIRONMENTAL PROTECTION AGENCY
OFFICE OF RESEARCH AND DEVELOPMENT
NATIONAL HEALTH AND ENVIRONMENTAL EFFECTS RESEARCH LABORATORY
ATLANTIC ECOLOGY DIVISION
MONITORING AND ASSESSMENT BRANCH