Automated Delineation of Supraglacial Debris Cover Using Deep Learning and Multisource Remote Sensing Data

Kaushik, SaurabhSingh, TejpalBhardwaj, AnshumanJoshi, P. K.Dietz, Andreas J.2022-04-132022-04-132022-03-10Kaushik, S, Singh, T, Bhardwaj, A, Joshi, P K & Dietz, A J 2022, 'Automated Delineation of Supraglacial Debris Cover Using Deep Learning and Multisource Remote Sensing Data', Remote Sensing, vol. 14, no. 6, 1352. https://doi.org/10.3390/rs140613522072-4292ORCID: /0000-0002-2502-6384/work/111708099https://hdl.handle.net/2164/18415Funding: S.K. acknowledges funding from the DST-India via INSPIRE fellowship scheme (DST/INSPIRE Fellowship/2017/IF170680). S.K. acknowledges funding from Deutscher Akademischer Austauschdienst (DAAD) funding ID 2021/22 (57552338).1910461382engSDG 13 - Climate ActionClimate changeDebris cover glacierDeep neural networkHimalayaRemote sensingSARSemantic segmentationQE GeologyGeneral Earth and Planetary SciencesOther57552338IF170680Supplementary InformationQEAutomated Delineation of Supraglacial Debris Cover Using Deep Learning and Multisource Remote Sensing DataJournal article10.3390/rs14061352http://www.scopus.com/inward/record.url?scp=85126274203&partnerID=8YFLogxK146