Impact of Tissue, Canopy, and Landscape Factors on the Hyperspectral Reflectance Variability of Arid Ecosystems (original) (raw)

2000, Remote Sensing of Environment

Imaging Spectrometer data. Most immonly occur in arid ecosystems due to land use and climate portant, the relative impact of tissue, canopy, and landscape variability. Most arid land remote sensing efforts have fofactors on pixel-level reflectance shifted with plant composicused on detecting vegetation change using spectral indices, tion and phenology. We compared the ability to resolve such as the normalized vegetation index, with limited sucthese vegetation and soil factors using Airborne Visible cess. Less attention has focused on using the continuous and Infrared Imaging Spectrometer, Moderate Resolution shortwave spectrum (0.4 lm to 2.5 lm) for studying vegeta-Imaging Spectrometer, and Landsat Thematic Mapper option in arid environments. Using field measurements and tical channels and found that few factors could be aca photon transport model, we quantified the absolute and counted for unless most of the spectral range was aderelative importance of tissue, canopy, and landscape factors quately sampled. ©Elsevier Science Inc., 2000 that drive pixel-level shortwave reflectance variation along a land-cover gradient in the Chihuahuan Desert, New Mexico. Green foliage, wood, standing litter, and bare soil had INTRODUCTION distinctive spectral properties, often via specific, narrow