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 …
Pedology and digital soil map** (DSM)
Pedology focuses on understanding soil genesis in the field and includes soil classification
and map**. Digital soil map** (DSM) has evolved from traditional soil classification and …
and map**. Digital soil map** (DSM) has evolved from traditional soil classification and …
Application of GIS-based data driven random forest and maximum entropy models for groundwater potential map**: a case study at Mehran Region, Iran
Groundwater is considered as the most important natural resources in arid and semi-arid
regions. In this study, the application of random forest (RF) and maximum entropy (ME) …
regions. In this study, the application of random forest (RF) and maximum entropy (ME) …
Performance assessment of individual and ensemble data-mining techniques for gully erosion modeling
Gully erosion is identified as an important sediment source in a range of environments and
plays a conclusive role in redistribution of eroded soils on a slope. Hence, addressing …
plays a conclusive role in redistribution of eroded soils on a slope. Hence, addressing …
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 …
Evaluation of different machine learning models for predicting and map** the susceptibility of gully erosion
Gully erosion constitutes a serious problem for land degradation in a wide range of
environments. The main objective of this research was to compare the performance of seven …
environments. The main objective of this research was to compare the performance of seven …
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 …
Testing a new ensemble model based on SVM and random forest in forest fire susceptibility assessment and its map** in Serbia's Tara National Park
The main objectives of this paper are to demonstrate the results of an ensemble learning
method based on prediction results of support vector machine and random forest methods …
method based on prediction results of support vector machine and random forest methods …
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 …
Gully erosion susceptibility map**: the role of GIS-based bivariate statistical models and their comparison
Gully erosion is a key issue in natural resource management that often has severe
environmental, economic, and social consequences. The objective of the present study is to …
environmental, economic, and social consequences. The objective of the present study is to …