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REMOTE SENSING OF PAMLICO SOUND PLANKTON COMMUNITIES USING AVIRIS DATA
Citation:
Knight, J F., R S. Lunetta, J G. Lyon, T H. Mace, H. W. Paerl, AND B. L. Peierls. REMOTE SENSING OF PAMLICO SOUND PLANKTON COMMUNITIES USING AVIRIS DATA. Presented at EPA/NASA sponsored special session Remote Sensing of Water Quality American Society for Photogrametry and Remote Sensing (ASPRS) Annual Conference, Anchorage, AK, May 5-9, 2003.
Impact/Purpose:
Our research objectives are to: (a) develop new methods using satellite remote sensor data for the rapid characterization of LC condition and change at regional to national scales; (b) evaluate the utility of the new NASA-EOS MODIS (Moderate Resolution Imaging Spectrometer) leaf area index (LAI) measurements for regional scale application with landscape process models (e.g., biogenic emissions and atmospheric deposition); (c) provide remote sensor derived measurement data to advance the development of the next generation of distributed landscape process-based models to provide a predictive modeling capability for important ecosystem processes (e.g., nutrients, sedimentation, pathogens, etc.); and (d) integrate in situ monitoring measurement networks with UAV and satellite based remote sensor data to provide a continuous environmental monitoring capability.
Description:
The U.S. EPA, in cooperation with NASA, NOAA and the University of North Carolina, has acquired AVIRIS hyperspectral data and high altitude (ER2) color infrared aerial photography (1: 65,000-scale) for the Pamlico Sound in North Carolina on May 15, 2002. The Pamlico Sound is a highly important fishery and recreational area that is impacted by urban growth, industry, and agriculture from the Neuse River Basin. The large size of the study area includes examples of a wide range of terrestrial and aquatic cover types in addition to varied estuarine environments ranging from sea grass beds to open water. Simultaneous in situ water quality samples, radiometric data, and aerosol optical depth measurements were also acquired. The objective of the project is to measure water quality parameters such as chlorophyll content, turbidity, and dissolved organic matter content from hyperspectral imagery in Case 11 waters. Additionally, project collaborators will conduct research to evaluate the potential application of advanced remote sensor technologies to measure indicators of estuarine health and condition that are currently under development across numerous estuarine systems for national application. Preliminary results linking AVIRIS reflectance measurements to water quality parameters will be presented.