C Castillo, JA Gómez - Earth-Science Reviews, 2016 - Elsevier
Gully erosion has become a field of growing interest among the research community but there still are numerous knowledge gaps that need to be addressed. The aim of this work is …
This study aims to evaluate a new approach in modeling gully erosion susceptibility (GES) based on a deep learning neural network (DLNN) model and an ensemble particle swarm …
Since prehistoric times, farmers have faced the challenge of balancing the demand for increasing food production from existing soil resources with conservation of these resources …
This paper presents a global synopsis about the geomorphic evidence of soil erosion in humid and semihumid areas since the beginning of agriculture. Historical documents …
S Pouyan, HR Pourghasemi, M Bordbar… - Scientific Reports, 2021 - nature.com
We used three state-of-the-art machine learning techniques (boosted regression tree, random forest, and support vector machine) to produce a multi-hazard (MHR) map …
Gully erosion is considered as a severe environmental problem in many areas of the world which causes huge damages to agricultural lands and infrastructures (ie roads, buildings …
The development and evolution of gullies on soil‐mantled hillslopes can devastate agricultural regions and cause widespread soil and landscape degradation. Since 2000 …
A Yang, C Wang, G Pang, Y Long, L Wang… - … International Journal of …, 2021 - mdpi.com
Gully erosion is the most severe type of water erosion and is a major land degradation process. Gully erosion susceptibility mapping (GESM)'s efficiency and interpretability …
Gully erosion is an important environmental threat throughout the world and affects multiple soil and land functions. There is ample physical evidence of intense gully erosion occurring …