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A Deep Learning Data Fusion Model Using Sentinel-1/2, SoilGrids, SMAP, and GLDAS for Soil Moisture Retrieval

dc.contributor.authorBatchu, Vishal
dc.contributor.authorNearing, Grey
dc.contributor.authorGulshan, Varun
dc.date.accessioned2024-12-24T14:33:43Z
dc.date.available2024-12-24T14:33:43Z
dc.date.copyright01 Oct. 2023
dc.date.issued2023
dc.identifier.otherhydr-JHM-D-22-0118.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4300978
dc.languageEnglish
dc.publisherAmerican Meteorological Society
dc.titleA Deep Learning Data Fusion Model Using Sentinel-1/2, SoilGrids, SMAP, and GLDAS for Soil Moisture Retrieval
dc.typeJournal Paper
dc.journal.volume24
dc.journal.issue10
dc.journal.titleJournal of Hydrometeorology
dc.identifier.doi10.1175/JHM-D-22-0118.1
dc.journal.fristpage1789
dc.journal.lastpage1823
dc.treeJournal of Hydrometeorology:;2023:;volume( 024 ):;issue: 010
dc.contenttypeFulltext


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