Kumar, NirmalSingh, Sudhir KumarDubey, Amit KumarRay, Ram L.Mustak, Sk.Rawat, Kishan Singh2024-01-212024-08-142024-01-212024-08-142021-08-261010604910.1080/10106049.2021.1973116https://kr.cup.edu.in/handle/32116/4075The earth observation data and CMIP6 models were used to predict plausible soil loss from the Ghaghara river basin. The decadal prediction of soil loss (28.64 ton/ha/year) was found high for SSP585 of CanESM5 during 2015�2025. However, the lower value was reported as 21.71 ton/ha/year for SSP245 of MRI-ESM2-0 during 2035�2045. The century level future rainfall erosivity factor was found lowest for SSP245, however highest for SSP585 of Access-ESM1-5, CanESM5, and IPSL-CM6A-LR. The SSP585 (Access-ESM1-5, CanESM5, and IPSL-CM6A-LR) have maximum soil erosion rate as 29.07, 28.03, and 28.0 ton/ha/year, respectively. For the SSP585, increments were observed as 35.93%, 31.04%, and 30%, respectively, compared to the baseline year (2014). Whereas, lowest was reported as 21.7 and 24.9 ton/ha/year and consequently the low increment as 1.31% and 16.55% for both scenarios of MRI-ESM2-0 compared to baseline. We observed that the soil erosion rate is aligned with the predicted rainfall erosivity factor. � 2021 Informa UK Limited, trading as Taylor & Francis Group.en-USCMIP 6earth observation dataHimalayan riverLS factorrainfall erosivityShared Socioeconomic Pathways (SSP)Prediction of soil erosion risk using earth observation data under recent emission scenarios of CMIP6Articlehttps://www.tandfonline.com/doi/full/10.1080/10106049.2021.1973116Geocarto International