Please use this identifier to cite or link to this item: http://dspace.iitrpr.ac.in:8080/xmlui/handle/123456789/2316
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSingh, S.-
dc.contributor.authorTiwari, R. K.-
dc.contributor.authorSood, V.-
dc.contributor.authorGusain, H. S.-
dc.date.accessioned2021-08-02T03:47:41Z-
dc.date.available2021-08-02T03:47:41Z-
dc.date.issued2021-08-02-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/2316-
dc.description.abstractThe present study evaluates the potential of Ku-band Scatterometer Satellite-1 (SCATSAT-1) for quantification of spatiotemporal variability in snow cover area (SCA) over Himalayas (Himachal Pradesh) India. The SCA has been measured using dual-polarized (HH and VV) backscattered SCATSAT-1 data. Two classification approaches, i.e., Linear Mixer Model (LMM) and Artificial Neural Network (ANN) model have been used for the present study. Both available backscatter coefficients sigma-naught σ0 and gamma-naught γ0 have been considered for the estimation of SCA. To compute the seasonal snow cover trends for winter (2016‒2017 and 2017‒2018), a post-classification comparison (PCC) based change detection approach has been demonstrated on the classified dataset (LMM and ANN). The SCA maps have been validated using reference snow cover maps generated from the Moderate-resolution Imaging Spectroradiometer (MODIS) sensor. The final change-category maps have effectively mapped the snow cover variations with accuracy in between 83.01% and 95.33%. The results indicate the suitability of SCATSAT-1 for estimating the magnitude of snow extent over the Himalayas.en_US
dc.language.isoen_USen_US
dc.titleDetection and validation of spatiotemporal snow cover variability in the himalayas using Ku-band (13.5 GHz) SCATSAT-1 dataen_US
dc.typeArticleen_US
Appears in Collections:Year-2021

Files in This Item:
File Description SizeFormat 
Full Text.pdf5.24 MBAdobe PDFView/Open    Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.