Measuring, modelling and managing gully erosion at large scales: A state of the art
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 …
formation and expansion of gullies is often a highly significant process of soil erosion …
A comprehensive system of definitions of land surface (topographic) curvatures, with implications for their application in geoscience modelling and prediction
Current use of land surface curvatures (LSCs) is in a confused state as a large gap has
opened up between applications and theoretical work. LSCs exercise important control on …
opened up between applications and theoretical work. LSCs exercise important control on …
Gully erosion susceptibility assessment and management of hazard-prone areas in India using different machine learning algorithms
Gully erosion is one of the most effective drivers of sediment removal and runoff from
highland areas to valley floors and stable channels, where continued off-site effects of water …
highland areas to valley floors and stable channels, where continued off-site effects of water …
[HTML][HTML] Assessing and mapping 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 …
Province, Shiraz City, and its four strategic watersheds. At first, we construct maps depicting …
Modelling gully-erosion susceptibility in a semi-arid region, Iran: Investigation of applicability of certainty factor and maximum entropy models
Gully erosion susceptibility mapping is a fundamental tool for land-use planning aimed at
mitigating land degradation. However, the capabilities of some state-of-the-art data-mining …
mitigating land degradation. However, the capabilities of some state-of-the-art data-mining …
[HTML][HTML] GIS-based machine learning algorithms for gully erosion susceptibility mapping in a semi-arid region of Iran
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 …
Watershed in Iran. The assessment of gully erosion susceptibility was performed using four …
Assessment of the importance of gully erosion effective factors using Boruta algorithm and its spatial modeling and mapping using three machine learning algorithms
M Amiri, HR Pourghasemi, GA Ghanbarian, SF Afzali - Geoderma, 2019 - Elsevier
The Maharloo watershed has witnessed many gullies in the recent due to the specific topo-
climatic conditions and man-made activities in that area. The present study is set out to …
climatic conditions and man-made activities in that area. The present study is set out to …
GIS-based groundwater potential mapping in Shahroud plain, Iran. A comparison among statistical (bivariate and multivariate), data mining and MCDM approaches
In arid and semi-arid areas, groundwater resource is one of the most important water
sources by the humankind. Knowledge of groundwater distribution over space, associated …
sources by the humankind. Knowledge of groundwater distribution over space, associated …
Groundwater potential mapping using C5. 0, random forest, and multivariate adaptive regression spline models in GIS
A Golkarian, SA Naghibi, B Kalantar… - Environmental monitoring …, 2018 - Springer
Ever increasing demand for water resources for different purposes makes it essential to
have better understanding and knowledge about water resources. As known, groundwater …
have better understanding and knowledge about water resources. As known, groundwater …
Assessing the performance of GIS-based machine learning models with different accuracy measures for determining susceptibility to gully erosion
The main purpose was to compare discrimination and reliability of four machine learning
models to create gully erosion susceptibility map (GESM) in a part of Ekbatan Dam Basin …
models to create gully erosion susceptibility map (GESM) in a part of Ekbatan Dam Basin …