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dc.contributor.authorSingh, S.-
dc.contributor.authorTiwari, R.K.-
dc.contributor.authorSood, V.-
dc.contributor.authorKaur, R.-
dc.contributor.authorSingh, S.-
dc.contributor.authorPrashar, S.-
dc.date.accessioned2022-12-09T07:49:23Z-
dc.date.available2022-12-09T07:49:23Z-
dc.date.issued2022-12-09-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/4292-
dc.description.abstractIn the present work, the scatterometer satellite (SCATSAT-1) has been implemented and validated to provide the near-real-time estimation of snow cover area (SCA) in the Western Himalayas, India. The SCA derived from standalone SCATSAT-1 L4 (Level-4 India) products, i.e. sigma-nought (σ°), and gamma-nought (γ°) has been validated with different MODIS products individually, i.e. MOD02 L1B (calibrated-radiances) derived NDSI (normalized difference snow index), MOD10A1 L3 (daily composite snow cover), and MOD10A2 L3 (8-Day composite snow cover). The experimental outcomes confirm the potential of SCATSAT-1 in estimating the SCA with respect to other MODIS products and also, suggested the utilization of the different MODIS products for referencing/validation in different scenarios. The findings of this paper suggest that SCATSAT-1 offers the near real-time mapping and monitoring of large-scale snow extent at the global level even under cloudy conditions.en_US
dc.language.isoen_USen_US
dc.subjectScatterometer satellite (SCATSAT-1)en_US
dc.subjectModerate resolution imaging spectroradiometer (MODIS)en_US
dc.subjectValidationen_US
dc.subjectArtificial neural network (ANN)en_US
dc.subjectNear-real time snow cover monitoringen_US
dc.titleEstimation and validation of standalone SCATSAT-1 derived snow cover area using different MODIS productsen_US
dc.typeArticleen_US
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