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Monitoring the status of Siachen glacier using multi temporal remote sensing approach
Snow and Avalanche Study Establishment, Defence Research and Development Organization (DRDO), Him Parisar, Sector-37A, Chandigarh.
Snow and Avalanche Study Establishment, Defence Research and Development Organization (DRDO), Him Parisar, Sector-37A, Chandigarh.
Snow and Avalanche Study Establishment, Defence Research and Development Organization (DRDO), Him Parisar, Sector-37A, Chandigarh.
Snow and Avalanche Study Establishment, Defence Research and Development Organization (DRDO), Him Parisar, Sector-37A, Chandigarh.ORCID-id: 0000-0002-2502-6384
Vise andre og tillknytning
2014 (engelsk)Inngår i: Geostatistical and geospatial approaches for the characterization of natural resources in the environment : challenges, processes and strategies: proceedings of the 16th International Association for Mathematical Geosciences, New Delhi/India/17-20 October 2014 / [ed] N Janardhana Raju, New Delhi: Capital Publishing Company , 2014, s. 513-515Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

The temporal monitoringof any glacier is important for observing the effects of changing climate. This study reports the decadal changes in Siachen glacier. Analysis was carried out on decadal basis by processing and analyzing Landsat images from 1978 to 2013. Images were coregistered within Root Mean Square Error (RMSE) limit of 0.5 pixel. An object based classification approach was adopted to perform temporal semi-automated areal change detection. The glacier inventory of 1978 showed around 74976 ha of glacier area which further decreased by around 1302 ha in 2013 with a shift of 1.5 km in the snout position.

sted, utgiver, år, opplag, sider
New Delhi: Capital Publishing Company , 2014. s. 513-515
HSV kategori
Forskningsprogram
Atmosfärsvetenskap
Identifikatorer
URN: urn:nbn:se:ltu:diva-38736Lokal ID: d3696fb4-fd1d-49d7-82b2-121a3ffe9a2aISBN: 9789381891254 (tryckt)OAI: oai:DiVA.org:ltu-38736DiVA, id: diva2:1012237
Konferanse
International Association for Mathematical Geosciences - Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment : Challenges, Processes and Strategies 17/10/2014 - 20/10/2014
Merknad
Upprättat; 2014; 20160822 (andbra)Tilgjengelig fra: 2016-10-03 Laget: 2016-10-03 Sist oppdatert: 2017-11-25bibliografisk kontrollert

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