Herefore, the objective of this study will be to (1) differentiate the gullies on the study location primarily based on their morphology and evolutionary development stage, (two) assess the gully triggering things and derive susceptibility maps as well as (3) map the distribution from the colluvial deposits within the upper Mkhomazi River basin, exactly where most of the gullies are located. Gully formations are known locally as “dongas”, which have already been studied from a geological and geomorphological point of view [25,33,424]. In addition, gully classifications based on the Bezafibrate-d4 Formula distinct morphological, morphogenetic and evolutionary qualities have been applied [457]. Based on the morphological classification of Rowntree [45], derived from our personal field observations, we classify the gullies with the upper Mkhomazi River basin into two distinct morphological sorts: (1) variety A gullies, Sumatriptan-d6 hemisuccinate hemisuccinate represented by V-shaped gullies exactly where the erosion processes are nonetheless active, and (two) form B gullies, represented by more mature landforms and fluvial channels characterized by a U-shape which has reached the erosive base level (i.e., the bedrock). The two gully sorts may perhaps take place independently but also can be connected because of the retrogressive erosion of type B gullies or downslope evolution of variety A gullies. In the study area, each gully sorts incise the Quaternary colluvial deposits [25,42,48,49] that are widespread along the foot slopes of your Drakensberg mountain variety [25]. A colluvial deposit is described as poorly sorted sediment characterized by a wide array of different grain sizes that happen to be transported by unconfined overland flow or in shallow ephemeral channels. These sediments are generally eroded by concentrated surface runoff and subsurface soil piping processes around the upper and mid slopes and re-deposited on reduced hillslopes, where either transport capacity decreases or overland flow is dissipated [48]. The focus of a lot of previous regional investigations has been the Thukela River basin in central KwaZulu-Natal, whereas within the Mkhomazi River catchment study area, a complete description of colluvial deposits has not been undertaken so far, plus the geological map [37] of the location represents only a smaller and incomplete a part of the distribution of the colluvial deposits [43]. In an linked study project, Bosino et al. (2020) [43] recently presented a much more correct distribution in the Masotcheni Formation within the upper Mkhomazi River basin. Having said that, this map illustrates an location characterized by thick colluvial deposits from the Masotcheni Formation that contain buried paleosols. Anyway, this map doesn’t cover the complete region especially colluvia cropping out in non-accessible remote locations are not reported. The Masotcheni Formation represents successive cycles of colluvial deposition, soil formation and truncation by gully erosion during the late Quaternary [25,50,51]. The purpose of this project was to distinguish the two gully morphologies described above even though a morphological and morphometric characterization method by using GIS and remote sensing analysis. Over the years, different statistical approaches have been created worldwide to assess distinct erosion processes and, in unique, gully erosion [4,9,11,21,30,32,526]. GIS- and machine learning-based models happen to be applied to pick the gully triggering components, derive susceptibility maps, implement land management choices and establish future strategies. Through machine mastering strategies, certainly, it truly is feasible to evaluate t.