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100			_aYousuf, Bisma _950910
245			_aGlacier facies characterization using optical satellite data: Impacts of radiometric resolution, seasonality, and surface morphology /
260			_bSage, _c2019.
300			_aVol 43, issue 4, 2019 : (473-495 p.).
520			_aThe spectral characterization of geographic landscapes is vital for their accurate mapping using remote sensing data. This can be done through spectral profiling, as demonstrated here, to characterize the surface facies of the Gangotri and neighbouring glaciers, central Himalaya. The satellite-derived reflectance curves were compared with the in-situ and published (validation) data. The study attempts to understand the influence of certain parameters such as the satellite sensor’s radiometric resolution, timing of data acquisition (seasonality), and surface morphology on glacier/snow–ice facies identification. Results show that the first two parameters complement each other in identifying the snow–ice facies accurately. High radiometric resolution (HRR) data concurred closely with the validation dataset and had higher mean entropy values over the glaciated areas than low radiometric resolution (LRR) ablation data. Presence of seasonal snow and degree of surface melting show considerable influence on satellite-derived reflectances of glacier facies. Our findings assert the usage of HRR ablation data in appraising the interannual and seasonal variability of glacier facies. While HRR post-ablation data overestimates the reflectance of snow–ice facies, LRR post-ablation data have limitations in their discrimination. Certain morphology and resultant features, such as crevasses and shadows, induce underestimation of the satellite-derived reflectances, creating confusion among the snow and ice facies. This spectral confusion can, however, be resolved by the use of ancillary data. Elevation, temperature, and band ratios/spectral indices are helpful in segregating snow–ice facies, while slope, band ratios, temperature, and texture measures effectively discriminate the other facies.
650			_aRadiometric resolution, _950911
650			_aGangotri glacier, _950912
650			_aglacier facies, _950913
650			_asnow–ice, _950914
650			_aglacier mapping _950915
700			_aShukla ,Aparna _950916
700			_aArora, Manoj Kumar _950917
700			_aJasrotia, Avtar Singh _950918
773	0		_012665 _916502 _dLondon: Sage Publication Ltd, 2019. _tProgress in Physical Geography: Earth and Environment/ _x03091333
856			_uhttps://doi.org/10.1177/0309133319840770
942			_2ddc _cART
999			_c12698 _d12698