Soil erosion assessment in the Blue Nile Basin driven by a novel RUSLE-GEE framework

Regionalization of the SWAT+ model for projecting climate change impacts on sediment yield: An application in the Nile basin

“…Formal independent validation of sediment yields at a regional or larger scale is not feasible due to a lack of long-term field-scale measurements ( Kirkby et al, 2004 ). Furthermore, field or plot measurements are mainly carried out in croplands or erosion-prone areas, which do not capture the landscape variability ( Elnashar et al, 2021 ). Consequently, sediment yield evaluation followed a cross-comparison of modeling results from previous measured and reported local studies in the region.…”

Evaluating spatio-temporal soil erosion dynamics in the Winam Gulf catchment, Kenya for enhanced decision making in the land-lake interface

“…6 was estimated as 20% of the sand fraction (0.05 -2.0 mm) according to Panagos et al (2014b). The use of these equations has previously been applied in East Africa by Fenta et al (2020) and Elnashar et al (2021).…”

Spatiotemporal characteristics of soil erosion in a typical watershed consisting of different landscape: A case study of the Qin River Basin

“…Although many scholars have adopted different methods to effectively reveal the types, mechanisms, spatiotemporal distribution, and dynamic evolution processes of soil erosion at different scales, it is difficult to verify these results [65,66]. The RUSLE model has a simple structure and considers the factors that affect soil erosion with minimum data and calculation requirements for simulation at a large scale [67][68][69]. Although the 30m resolution data was used for NDVI, the NDVI value in 2018 was low due to the influence of climate environment and cloud cover, which reduces the precision of the simulation results of the RUSLE model to a certain extent.…”