Abstract
This paper presents data on utilizing remote sensing technology for characterizing a riparian zone in southern Texas. Radiometric ground reflectance measurements, color-infrared aerial photography, and computer image processing techniques were conducted for this study. Reflectance measurements were made on 8 dominant vegetation types, soil, and water. Spectral measurements were made in the visible green (0.52-0.60 μm), visible red (0.63-0.69 μm), and near-infrared (0.76-0.90 μm) wavelengths. Reflectance values differed significantly (P = 0.05) among the vegetation, soil, and water parameters at all 3 wavelengths. Differences in reflectance among the vegetation cover types were attributed to variable foliage coloration and vegetative density. A color-infrared photograph of the study area showed that many of the ecological surface types could be readily distinguished. An unsupervised computer classification of the photograph identified 8 ground classes. An accuracy assessment performed on the classification showed an overall accuracy of 88%.
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