ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume V-3-2021
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 197–202, 2021
https://doi.org/10.5194/isprs-annals-V-3-2021-197-2021
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 197–202, 2021
https://doi.org/10.5194/isprs-annals-V-3-2021-197-2021

  17 Jun 2021

17 Jun 2021

ESTIMATION OF SNOW DEPLETION CURVE FOR GANGOTRI BASIN USING MULTI-SOURCE REMOTE SENSING DATA

P. Verma1,2, S. K. Ghosh2, and R. Ramsankaran1 P. Verma et al.
  • 1Indian Institute of Technology Bombay, Mumbai, India
  • 2Indian Institute of Technology Roorkee, Uttarakhand, India

Keywords: Snow Depletion Curve, NDSI, Sentinel-3A, Sentinel-2A, Landsat 8, MODIS MOD10A1 product

Abstract. Snow Depletion Curve derived from satellite images is a key parameter in Snowmelt Runoff Model. The fixed temporal resolution of a satellite and presence of cloud cover in Himalayas restricts accuracy of generated SDC. This study presents an effective approach of reducing temporal interval between two consecutive dates by integrating normalized Snow Cover Area estimated from multiple sources of satellite data. SCA is extracted by using Normalized Difference Snow Index for six snowmelt seasons from 2013 to 2018 for Gangotri basin situated in Indian Himalayas. This work also explores potential of recently launched Sentinel-3A for estimating SCA. Normalized SCA is utilized to eliminate the effect of difference in spatial resolution of various satellites. The result develops an important linear relation between SDC and time with a decrease in snow cover of 0.005/day that may be further refined by increasing the number of snowmelt seasons. This relationship may help scientific community in understanding hydrological response of glaciers to climate change.