United States Environmental Protection Agency	Office of Research and Development

National Exposure Research Laboratory
Research Abstract

Government Performance Results Act (GPRA) Goal #4
FY 2004 Annual Performance Measure # 254

Significant Research Findings:

The Use of Hyperspectral Remote Sensing for the Development of
Optical Water Quality Indicators in the Ohio River Basin

Scientific	Typical sampling programs require field sampling of water quality conditions, the

Problem and	costliness and time-consuming nature of which can lead to limitations in the

Policy Issues	sampling effort because comprehensive sampling of an entire large body of water

is not feasible using these methods. The use of remotely sensed data could help
water quality programs overcome these constraints by providing an alternative
means of water quality monitoring over a greater range of temporal and spatial
scales.

Research	The main objective of this research is to further remote sensing research toward

Approach	providing tools that will help resource managers monitor and assess inland waters

more quickly, completely, effectively and at a lower cost than their current
capabilities allow. Our research approach included collecting three sets of remote
sensing and ground-truth data in order to study the correlations between reflection
data and water quality analytes. This approach was used in order to help us
develop optical indicators of water quality constituents. Each of these three sets of
data was collected under the guidance of a Quality Assurance Project Plan. A
Principal Investigator from ORD's National Center for Environmental Assessment
reviewed the report.

Results and	This study demonstrates the ubiquitous application of the chlorophyll a spectral

Impact	index while revealing the limited reliability of the turbidity, phosphorous and

nitrogen spectral indices. Although differences between the dynamics of the two
rivers may have made these spectral indices incompatible, with further refinement
they may yet prove to be useful tools that can be modified for use in other rivers to
detect potential water quality problems.

Florence Fulk, Bradley Autrey and Joseph Flotemersch were NERL's primary
investigators for this project. The U.S. EPA contract number 68D01048 to
SoBran, Inc. provided support in the collection of samples, analyses of samples
and processing of data.

A portion of this research was published as the journal article cited below.

Senay, G., N.A. Shafique, B.C. Autrey, F. Fulk, and S.M. Cormier. 2001. Hyperspectral Narrow
Wavebands Selection for Optimizing Water Quality Monitoring on the Great Miami River, Ohio.
Journal of Spatial Hydrology 1 (1): 1 -22.

Research
Collaboration and
Research
Products

Future Research Future research will provide information about whether satellite data can be

substituted for field-collected data to determine water quality parameters such as


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chlorophyll a, nutrients, and turbidity. In the future, satellite remote sensing data
may prove to be the preferable method for the detection of eutrophic water quality
indicators over large areas of water.

Contacts for	Questions and inquiries can be directed to:

Additional	Bradley C. Autrey

Information	u.S. EPA, Office of Research and Development

National Exposure Research Laboratory
26 West Martin Luther King Blvd, Cincinnati, OH 45268
Phone: 513/569-7368
E-mail: autrey.brad@epa.gov

Federal funding for this research was administered under EPA contract number
68-D-01-048.


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