,
DISCRIMINATION OF ACTIVE AND INACTIVE SAND FROM REMOTE-SENSINGKELSO DUNES, MOJAVE DESERT, CALIFORNIA
REMOTE SENSING OF ENVIRONMENT, 37 (3): 153--166 (1991)
Аннотация
Landsat TM images, field data, and laboratory reflectance spectra
were examined for the Kelso dunes, Mojave Desert, California to assess
the use of visible and near-infrared (VNIR) remote sensing data to
discriminate aeolian sand populations on the basis of spectral brightness.
Results show that areas of inactive sand have a larger percentage
of dark, fine-grained materials compared to those composed of active
sand, which contain less dark fines and a higher percentage of quartz
sand-size grains. Both areas are spectrally distinct in the VNIR,
suggesting that VNIR spectral data can be used to discriminate active
and inactive sand populations in the Mojave Desert. Analysis of laboratory
spectra was complicated by the presence of magnetite in the active
sands, which decreases their laboratory reflectance values to those
of inactive sands. For this application, comparison of TM and laboratory
spectra suggests that less than 35% vegetation cover does not influence
the TM spectra.
