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REMOTE SENSING OF SEAGRASS WITH AVIRIS AND HIGH ALTITUDE AERIAL PHOTOGRAPHY
Citation:
Field, D., P. Biber, W. J. Kenworthy, L D. Worthy, AND M. Finkbeiner. REMOTE SENSING OF SEAGRASS WITH AVIRIS AND HIGH ALTITUDE AERIAL PHOTOGRAPHY. Presented at American Society of Photogrammetry and Remote Sensing, Anchorage, AK, May 5-8, 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:
On May 15,2002 AVIRlS (Advanced VisuaJ/lnfrared Imaging Spectrometer) data and high altitude aerial photographs were acquired tor coastal .waters from Cape Lookout to Oregon Inlet, North Carolina. The study encompasses extensive areas of seagrass, federally protected submersed, rooted vascular plants that perform a wide variety of beneficial physical and biological functions. Most seagrasses in the study area are welldocumented through earlier mapping efforts and extensive in situ studies. The A V1RISand photographic imagery were processed for areas of known seagrass occurrence. 'The data were compared. to evaluate the advantages and disadvantages of these two imagedata soures for mapping seagrass and detecting changes in such parameters as seagrassdensity and species composition. The AVIRIS data were also evaluated to determine the most efficient band combinations for seagrass detection in variably turbid class II inshore waters.