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001-es BibID:BIBFORM116528
035-os BibID:(cikkazonosító)103507 (WoS)001135286500001 (Scopus)85179139332
Első szerző:Mahanta, Aiswarya Rani
Cím:Assessment of multi-source satellite products using hydrological modelling approach / Aiswarya Rani Mahanta, Kishan Singh Rawat, Nirmal Kumar, Szilard Szabo, Prashant K. Srivastava, Sudhir Kumar Singh
Dátum:2023
ISSN:1474-7065
Megjegyzések:Multi-source satellite products performance evaluation for varied geographical locations aids in quantification of hydrological variables and is useful in the strategy making and conservation of the hydrological resources available in a basin. The work was focused on assessing utility of multi-source satellite datasets to obtain the estimation of hydrologic variables and provide solution for areas that are poorly gauged. Assessment of the multisource-satellite products was performed for the poorly gauged river basin with the help of SWAT concerning the Palar River basin, India. We analysed time series at the monthly, seasonal, and annual scales to quantify surface runoff, water yield, ET, & PET at the calibration station and for the entire basin for the period 2003 to 2021. SWAT model estimated highest monthly water yield during November-December, with annual water yield being maximum (220 mm in 2010) and average (99.4 mm), which can be used to understand water resources for irrigation, drinking aspects, and net storage. Average monthly surface runoff patterns were similar for SWAT, TerraClimate, and FLDAS. The FLDAS and SWAT simulated surface runoff show a resemblance in pattern and magnitude for the monthly and annual time series of the average basin scenario. The monthly PET obtained from SWAT and ERA-5 show a similar pattern for the entire basin and at the calibration site. The ET derived from satellite observation has over-predicted the model output at both the calibration site and entire basin.
Tárgyszavak:Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
FLDAS
SWAT
ERA-5
MODIS
MERRA-2
Water yield
Megjelenés:Physics And Chemistry Of The Earth. - 133 (2023), p. 1-18. -
További szerzők:Rawat, Kishan Singh Kumar, Nirmal Szabó Szilárd (1974-) (geográfus) Srivastava, Prashant K. Singh, Sudhir Kumar (1970-) (geográfus)
Pályázati támogatás:TKP2021-NKTA-32
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2.

001-es BibID:BIBFORM086927
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
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3.

001-es BibID:BIBFORM084643
Első szerző:Rawat, Kishan Singh
Cím:Parameterizing the modified water cloud model to improve soil moisture data retrieval using vegetation models / Kishan Singh Rawat, Sudhir Kumar Singh, Ram L. Ray, Szilárd Szabó, Sanjeev Kumar
Dátum:2020
ISSN:2064-5031 2064-5147
Megjegyzések:The objective was to parameterize a modified water cloud model using crop coefficients (A and B). These crop coefficients were derived from Landsat-8 and Sentinel-2 data. Whereas the coefficients C and D are of soil parameters. The water cloud model was modified using crop coefficients by minimizing the RMSE between observed VV?0 and Sentinel-1 based simulated VV?0. The comparison with observed and simulated VV polarized ?0 showed low RMSE (0.81 dB) and strong R2 of 0.98 for NDVI-EVI combination. However, based on other possible combinations of vegetation indices VV?0 and simulated VV?0 do not show a good statistical agreement. It was observed that the errors in crop coefficients (A and B) are sensitive to errors in initial vegetation/canopy descriptor parameters.
Tárgyszavak:Természettudományok Földtudományok idegen nyelvű folyóiratközlemény hazai lapban
folyóiratcikk
NDVI
EVI
SAR
Sentinel
WCM
Megjelenés:Hungarian Geographical Bulletin. - 69 : 1 (2020), p. 17-26. -
További szerzők:Singh, Sudhir Kumar (1970-) (geográfus) Ray, Ram L. Szabó Szilárd (1974-) (geográfus) Kumar, Sanjeev
Pályázati támogatás:NKFIH-1150-6/2019
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4.

001-es BibID:BIBFORM082562
035-os BibID:(WoS)000457952700087 (Scopus)85058663446
Első szerző:Rawat, Kishan Singh
Cím:Estimation of crop evapotranspiration through spatial distributed crop coefficient in a semi-arid environment / Kishan Singh Rawat, Sudhir Kumar Singh, Anju Bala, Szilárd Szabó
Dátum:2019
ISSN:0378-3774
Megjegyzések:Accurate and reliable estimation of reference crop evapotranspiration (ETo) is important due to its critical role in determining crop water requirement in irrigated agriculture. The aim of the paper was to estimate the evapotranspiration (ETc) using spatially distributed crop coefficient (Kc) and open access earth observing datasets in a semi-arid environment. We have estimated the actual evapotranspiration (ETc) based on spatially distributed crop coefficient (Kc) using following models namely Surface Energy Balance Algorithm for Land (SEBAL), Makkink model, Hargreaves and Samani model, Camargo method and Jensen-Haise model. Further, these models estimates were compared with Penman-Monteith estimate. Comparative evaluation of models was performed through statistical tests, and it was found that the Makkink model performed satisfactory compared with standard Penman-Monteith model estimate (R2=0.88). Leaf area index (LAI) and the Kc was in strong (second order polynomial) relationship (R2=0.98). The analysis also shows distributed actual evapotranspiration based on Makkink model has good agreement with actual evapotranspiration from Penman-Monteith with R2 of 0.84, respectively, for the study area. The finding suggests that the Makkink model estimates ETo are very close to the universally accepted Penman-Monteith model based ETo.
Tárgyszavak:Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Actual evapotranspiration
Wheat
Crop coefficient
SEBAL model
Penman-Monteith method
Megjelenés:Agricultural Water Management. - 213 (2019), p. 922-933. -
További szerzők:Kumar Singh, Sudhir Bala, Anju Szabó Szilárd (1974-) (geográfus)
Pályázati támogatás:4th thematic program of the University of Debrecen
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