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Abstract
This paper describes a spectral analysis of several coastal land cover types in South Padre Island, Texas using AISA+ hyperspectral remote sensing data. AISA+ hyperspectral data (1.5 metre) were acquired throughout the area on 9 March 2005. Data over mangrove areas were converted to percent reflectance using four 8×8 metre 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.
Acknowledgements
The authors acknowledge the support of the National Science Foundation (Award number 0319145, Acquisition of AISA+ Hyperspectral Sensor) in providing Indiana State University the funds to acquire and calibrate the AISA+ sensor used in this research. The outstanding support of the remote sensing unit of the USDA-ARS in Weslaco, TX, who devoted much of their resources for four days to help in calibration and AISA+ data acquisition, is gratefully acknowledged. Three USDA-ARS scientists are co-authors of this paper, but credit and thanks are also given to Rene Davis (pilot) and technicians Fred Gomez, Juan Ramos, Jim Forward, Mario Alaniz, and Buck Cavazos of the USDA-ARS for their support in making the March 2005 hyperspectral flights successful.
