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Title: SPECTRAL ANALYSIS OF COASTAL VEGETATION AND LAND COVER USING AISA+HYPERSPECTRAL DATA

Author
item JENSEN, RYAN - INDIANA STATE UNIV
item MAUSEL, PAUL - INDIANA STATE UNIV
item DIAS, NELSON - INDIANA STATE UNIV
item GONSER, RUSTY - INDIANA STATE UNIV
item Yang, Chenghai
item Everitt, James
item Fletcher, Reginald

Submitted to: Geocarto International
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 8/8/2006
Publication Date: 3/1/2007
Citation: Jensen, R.R., Mausel, P.W., Dias, N., Gonser, R., Yang, C., Everitt, J.H., Fletcher, R.S. 2007. Spectral analysis of coastal vegetation and land cover using AISA + hyperspectral data. Geocarto International. 22(1):17-28.

Interpretive Summary: Interest in the use of electronic imaging systems as remote sensing tools has greatly expanded in the last few years. An airborne hyperspectral imaging system was evaluated for mapping coastal terrestrial features on South Padre Island, Texas. Results indicated that hyperspectral data has considerable potential for mapping mangrove communities and other coastal cover types. These findings should be of interest to coastal zone resource managers.

Technical Abstract: This paper describes spectral analysis of several coastal land cover types on South Padre Island, Texas, using AISA+hyperspectral remote sensing data. AISA+hyperspectral data (1.5 meter) were acquired throughout the area on 9 March 2005. Data over mangrove areas were converted to percent reflectance using four 8 x 8 meter reflectance tarps (4%, 16%, 32%, and 48%) and empirical line calibration. These data were then compared to percent reflectance values of other terrestrial features to determine the ability of AISA+data to distinguish features in coastal environments. Results suggest that these data may be appropriate to discriminate coastal mangrove vegetation and provide researchers with high resolution spatial and spectral information to more effectively manage coastal ecosystems.