Spectral analysis of coastal vegetation and land cover using AISA₊ hyperspectral data

Authors

R. Jensen, Indiana State UniversityFollow
P. Mausel, Indiana State University
N. Dias, Indiana State University
R. Gonser, Indiana State University
C. Yang, USDA-ARS
J. Everitt, USDA-ARS
R. Fletcher, USDA-ARS

Date of this Version

2007

Comments

Published in Geocarto International, Vol. 22, No. 1, March 2007, 17–28. DOI: 10.1080/10106040701204354

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.