Measuring, modelling and managing gully erosion at large scales: A state of the art

M Vanmaercke, P Panagos, T Vanwalleghem… - Earth-Science …, 2021 - Elsevier
Soil erosion is generally recognized as the dominant process of land degradation. The
formation and expansion of gullies is often a highly significant process of soil erosion …

A century of gully erosion research: Urgency, complexity and study approaches

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 …

Novel ensemble approach of deep learning neural network (DLNN) model and particle swarm optimization (PSO) algorithm for prediction of gully erosion susceptibility

SS Band, S Janizadeh, S Chandra Pal, A Saha… - Sensors, 2020 - mdpi.com
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 …

Impact of historical land use and soil management change on soil erosion and agricultural sustainability during the Anthropocene

T Vanwalleghem, JA Gómez, JI Amate, MG De Molina… - Anthropocene, 2017 - Elsevier
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 …

The history of human-induced soil erosion: Geomorphic legacies, early descriptions and research, and the development of soil conservation—A global synopsis

M Dotterweich - Geomorphology, 2013 - Elsevier
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 Historical documents …

A multi-hazard map-based flooding, gully erosion, forest fires, and earthquakes in Iran

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 …

Novel ensembles of COPRAS multi-criteria decision-making with logistic regression, boosted regression tree, and random forest for spatial prediction of gully erosion …

A Arabameri, M Yamani, B Pradhan, A Melesse… - Science of the total …, 2019 - Elsevier
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 …

Gully erosion processes, disciplinary fragmentation, and technological innovation

SJ Bennett, RR Wells - Earth surface processes and landforms, 2019 - Wiley Online Library
The development and evolution of gullies on soil‐mantled hillslopes can devastate
agricultural regions and cause widespread soil and landscape degradation. Since 2000 …

Gully erosion susceptibility mapping in highly complex terrain using machine learning models

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 as a natural and human-induced hazard

I Ionita, MA Fullen, W Zgłobicki, J Poesen - Natural Hazards, 2015 - Springer
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 …