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001-es BibID:	BIBFORM086927
035-os BibID:	(WoS)000547024600001 (Scopus)85087829042
Első szerző:	Rawat, Kishan Singh
Cím:	Parameterization of the modified water cloud model (MWCM) using normalized difference vegetation index (NDVI) for winter wheat crop : a case study from Punjab, India / Kishan Singh Rawat, Sudhir Kumar Singh, Ram L. Ray, Szilard Szabo
Dátum:	2020
ISSN:	1010-6049 1752-0762
Megjegyzések:	Soil moisture is essential for water resources management, yet accurate information of soil moisture has been a challenge. The major goal was to parametrize the Modified Water Cloud Model (MWCM). The Sentinel-1A data of winter wheat crop was collected for two weeks. Concurrently, in-situ soil moisture data was collected using Time Domain Reflectometer (TDR). A parametric scheme was used for the retrieval of the VV polarization of Sentinel-1A. The effect of NDVI as a vegetation descriptors (V1 and V2) on total VV backscatter (r0) was analyzed. The calibration showed NDVI has the potential to influence Water Cloud Model (WCM) and vegetation descriptors; hence it is recommended to calibrate the MWCM. The coefficient of determination (R2 ? 0.83) showed a good agreement between observed and estimated soil moisture. Therefore, this approach help improve soil moisture prediction, and can be applied to determine soil moisture more accurately for winter crops, grasses, and pasture lands.
Tárgyszavak:	Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk Optimization water cloud model backscattering coefficients soil moisture ndvi
Megjelenés:	Geocarto International. - [Epub ahead of print] (2020), p. 1-15. -
További szerzők:	Singh, Sudhir Kumar (1970-) (geográfus) Ray, Ram L. Szabó Szilárd (1974-) (geográfus)
Pályázati támogatás:	NKFIH-1150-6/2019 FIKP
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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