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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 …
[HTML][HTML] Earth observation in the emmena region: Sco** review of current applications and knowledge gaps
Earth observation (EO) techniques have significantly evolved over time, covering a wide
range of applications in different domains. The scope of this study is to review the research …
range of applications in different domains. The scope of this study is to review the research …
A comparison of statistical methods and multi-criteria decision making to map flood hazard susceptibility in Northern Iran
In north of Iran, flood is one of the most important natural hazards that annually inflict great
economic damages on humankind infrastructures and natural ecosystems. The Kiasar …
economic damages on humankind infrastructures and natural ecosystems. The Kiasar …
Landslide susceptibility evaluation and management using different machine learning methods in the Gallicash River Watershed, Iran
This analysis aims to generate landslide susceptibility maps (LSMs) using various machine
learning methods, namely random forest (RF), alternative decision tree (ADTree) and …
learning methods, namely random forest (RF), alternative decision tree (ADTree) and …
Assessment of the importance of gully erosion effective factors using Boruta algorithm and its spatial modeling and map** using three machine learning algorithms
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 map** 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 …
Modelling gully-erosion susceptibility in a semi-arid region, Iran: Investigation of applicability of certainty factor and maximum entropy models
Gully erosion susceptibility map** 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 …
Predicting heavy metal contents by applying machine learning approaches and environmental covariates in west of Iran
The cuurent study was performed to predict spatial distribution of some heavy metals (Ni, Fe,
Cu, Mn) in western Iran, using environmental covariates and applying two machine learning …
Cu, Mn) in western Iran, using environmental covariates and applying two machine learning …
[HTML][HTML] Novel ensemble approach of deep learning neural network (DLNN) model and particle swarm optimization (PSO) algorithm for prediction of gully erosion …
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 …
based on a deep learning neural network (DLNN) model and an ensemble particle swarm …
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 …