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] Application of remote sensing and machine learning algorithms for forest fire mapping in a Mediterranean area
Forest fire disaster is currently the subject of intense research worldwide. The development
of accurate strategies to prevent potential impacts and minimize the occurrence of disastrous …
of accurate strategies to prevent potential impacts and minimize the occurrence of disastrous …
An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines
Floods, as a catastrophic phenomenon, have a profound impact on ecosystems and human
life. Modeling flood susceptibility in watersheds and reducing the damages caused by …
life. Modeling flood susceptibility in watersheds and reducing the damages caused by …
Development of different machine learning ensemble classifier for gully erosion susceptibility in Gandheswari Watershed of West Bengal, India
In various types of geo-environmental problems in the fringing area of Chhotanagpur
plateau in India, gully erosion is one of the vulnerable issue. In our current research, using …
plateau in India, gully erosion is one of the vulnerable issue. In our current research, using …
Improving the spatial prediction of soil organic carbon using environmental covariates selection: A comparison of a group of environmental covariates
In the digital soil mapping (DSM) framework, machine learning models quantify the
relationship between soil observations and environmental covariates. Generally, the most …
relationship between soil observations and environmental covariates. Generally, the most …
Flood susceptibility mapping using novel ensembles of adaptive neuro fuzzy inference system and metaheuristic algorithms
SVR Termeh, A Kornejady, HR Pourghasemi… - Science of the Total …, 2018 - Elsevier
Flood is one of the most destructive natural disasters which cause great financial and life
losses per year. Therefore, producing susceptibility maps for flood management are …
losses per year. Therefore, producing susceptibility maps for flood management are …
A novel machine learning-based approach for the risk assessment of nitrate groundwater contamination
This study aimed to develop a novel framework for risk assessment of nitrate groundwater
contamination by integrating chemical and statistical analysis for an arid region. A standard …
contamination by integrating chemical and statistical analysis for an arid region. A standard …
[HTML][HTML] Modeling fragmentation probability of land-use and land-cover using the bagging, random forest and random subspace in the Teesta River Basin …
S Talukdar, KU Eibek, S Akhter, SK Ziaul… - Ecological …, 2021 - Elsevier
Land-use and land-cover (LULC) changes have become a crucial issue that urgently needs
to be addressed due to global environmental change. Many studies have employed remote …
to be addressed due to global environmental change. Many studies have employed remote …
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 …
Flood susceptibility assessment in Bangladesh using machine learning and multi-criteria decision analysis
This work proposes a new approach by integrating statistical, machine learning, and multi-
criteria decision analysis, including artificial neural network (ANN), logistic regression (LR) …
criteria decision analysis, including artificial neural network (ANN), logistic regression (LR) …