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 …

Bagging-based machine learning algorithms for landslide susceptibility modeling

T Zhang, Q Fu, H Wang, F Liu, H Wang, L Han - Natural hazards, 2022 - Springer
Landslide hazards have attracted increasing public attention over the past decades due to a
series of catastrophic consequences of landslide occurrence. Thus, the mitigation and …

Modeling flood susceptibility using data-driven approaches of naïve bayes tree, alternating decision tree, and random forest methods

W Chen, Y Li, W Xue, H Shahabi, S Li, H Hong… - Science of The Total …, 2020 - Elsevier
Floods are one of the most devastating types of disasters that cause loss of lives and
property worldwide each year. This study aimed to evaluate and compare the prediction …

[HTML][HTML] Landslide susceptibility modeling based on ANFIS with teaching-learning-based optimization and Satin bowerbird optimizer

W Chen, X Chen, J Peng, M Panahi, S Lee - Geoscience Frontiers, 2021 - Elsevier
As threats of landslide hazards have become gradually more severe in recent decades,
studies on landslide prevention and mitigation have attracted widespread attention in …

Threats of climate and land use change on future flood susceptibility

P Roy, SC Pal, R Chakrabortty, I Chowdhuri… - Journal of Cleaner …, 2020 - Elsevier
Management of any unstable situation or conditions helps to return it to its natural state. In
recent times, disaster management is required for sustainable management. Researchers …

Interpretability of simple RNN and GRU deep learning models used to map land susceptibility to gully erosion

H Gholami, A Mohammadifar, S Golzari, Y Song… - Science of the Total …, 2023 - Elsevier
Gully erosion possess a serious hazard to critical resources such as soil, water, and
vegetation cover within watersheds. Therefore, spatial maps of gully erosion hazards can be …

Assessing and map** multi-hazard risk susceptibility using a machine learning technique

HR Pourghasemi, N Kariminejad, M Amiri, M Edalat… - Scientific reports, 2020 - nature.com
The aim of the current study was to suggest a multi-hazard probability assessment in Fars
Province, Shiraz City, and its four strategic watersheds. At first, we construct maps depicting …

GIS-based machine learning algorithms for gully erosion susceptibility map** in a semi-arid region of Iran

X Lei, W Chen, M Avand, S Janizadeh, N Kariminejad… - Remote Sensing, 2020 - mdpi.com
In the present study, gully erosion susceptibility was evaluated for the area of the Robat Turk
Watershed in Iran. The assessment of gully erosion susceptibility was performed using four …

Ensemble models of GLM, FDA, MARS, and RF for flood and erosion susceptibility map**: a priority assessment of sub-basins

A Mosavi, M Golshan, S Janizadeh… - Geocarto …, 2022 - Taylor & Francis
The mountainous watersheds are increasingly challenged with extreme erosions and
devastating floods due to climate change and human interventions. Hazard map** is …

[HTML][HTML] Modeling groundwater potential using novel GIS-based machine-learning ensemble techniques

A Arabameri, SC Pal, F Rezaie, OA Nalivan… - Journal of Hydrology …, 2021 - Elsevier
Study region The present study has been carried out in the Tabriz River basin (5397 km 2) in
north-western Iran. Elevations vary from 1274 to 3678 m above sea level, and slope angles …