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GIS-BASED STUDY OF CRYOSPHERE, WATER AND LULC PATTERN IN THE WATERSHED OF KHANGRI GLACIER, ARUNACHAL PRADESH

By: Tiwari, Ashutosh.
Contributor(s): Kireet Kumar.
Publisher: Roorkee Indian Water Resources Society 2019Edition: Vol.39(4), Oct.Description: 32-41p.Subject(s): Civil EngineeringOnline resources: Click here In: Journal of indian water resource societySummary: Himalayas are the source of water to many important snow/glacier-fed and rivers in India and its neighbouring countries that caters the demand of water to more than 1.4 billion people. However, Himalayan glaciers are under threat due to impact of climate change and resulted in increasing in glacier retreating rates in recent decades. Moreover, with the retreating glaciers, nearby LULC pattern such as total to study the glacier to address the impacts of climate change. But glacier studies are rare owing to difficult terrain, extreme climatic events and limited infrastructure. Therefore, use of and repetitive ground coverage. In present study, RS based datasets were used in Khangri glacier and computation were performed for deriving glacier mass balance, snow cover area mapping, snout monitoring, classification of the watershed. The study also gives the insight of application of Snap tool for the estimation of glacier velocity using the temporal Sentinel 1 Synthetic
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Himalayas are the source of water to many important snow/glacier-fed and rivers in India and its neighbouring countries that caters the demand of water to more than 1.4 billion people. However, Himalayan glaciers are under threat due to impact of climate change and
resulted in increasing in glacier retreating rates in recent decades. Moreover, with the retreating glaciers, nearby LULC pattern such as total
to study the glacier to address the impacts of
climate change. But glacier studies are rare owing to difficult terrain, extreme climatic events and limited infrastructure. Therefore, use of
and repetitive ground coverage. In present study, RS based datasets were
used in Khangri glacier and computation were performed for deriving glacier mass balance, snow cover area mapping, snout monitoring,
classification of the watershed. The study also gives the insight of application of Snap tool
for the estimation of glacier velocity using the temporal Sentinel 1 Synthetic

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