Machine learning-based landslide susceptibility assessment with optimized ratio of landslide to non-landslide samples
Abstract Machine learning models have been widely used for landslide susceptibility
assessment (LSA) in recent years. The accuracy of machine learning-based LSA often …
assessment (LSA) in recent years. The accuracy of machine learning-based LSA often …
Prediction of landslide susceptibility in Rudraprayag, India using novel ensemble of conditional probability and boosted regression tree-based on cross-validation …
The present research examines the landslide susceptibility in Rudraprayag district of
Uttarakhand, India using the conditional probability (CP) statistical technique, the boost …
Uttarakhand, India using the conditional probability (CP) statistical technique, the boost …
Testing the performances of different fuzzy overlay methods in GIS-based landslide susceptibility map** of Udi Province, SE Nigeria
Landslides are still wreaking havoc in many parts of the world. Several previous landslide
susceptibility map** (LSM) studies have proven that fuzzy logic methods provide reliable …
susceptibility map** (LSM) studies have proven that fuzzy logic methods provide reliable …
Flood susceptibility map** using meta-heuristic algorithms
Flood is a common global natural hazard, and detailed flood susceptibility maps for specific
watersheds are important for flood management measures. We compute the flood …
watersheds are important for flood management measures. We compute the flood …
Flash-flood hazard susceptibility map** in Kangsabati River Basin, India
Flood-susceptibility map** is an important component of flood risk management to control
the effects of natural hazards and prevention of injury. We used a remote-sensing and …
the effects of natural hazards and prevention of injury. We used a remote-sensing and …
Prediction of gully erosion susceptibility map** using novel ensemble machine learning algorithms
Spatial modelling of gully erosion at regional level is very relevant for local authorities to
establish successful counter-measures and to change land-use planning. This work is …
establish successful counter-measures and to change land-use planning. This work is …
Optimization modelling to establish false measures implemented with ex-situ plant species to control gully erosion in a monsoon-dominated region with novel in-situ …
Water dominated gullies formation and associated land degradation are the foremost
challenges among the planners for sustainability and optimization of land resources. This …
challenges among the planners for sustainability and optimization of land resources. This …
Torrential rainfall-induced landslide susceptibility assessment using machine learning and statistical methods of eastern Himalaya
Landslide susceptibility predictive capabilities are believed to be varied with numerous
techniques such as stand-alone statistical, stand-alone machine learning (ML), and …
techniques such as stand-alone statistical, stand-alone machine learning (ML), and …
Hybrid machine learning approach for gully erosion map** susceptibility at a watershed scale
Gully erosion is a serious threat to the state of ecosystems all around the world. As a result,
safeguarding the soil for our own benefit and from our own actions is a must for …
safeguarding the soil for our own benefit and from our own actions is a must for …
Ensemble of machine-learning methods for predicting gully erosion susceptibility
Gully formation through water-induced soil erosion and related to devastating land
degradation is often a quasi-normal threat to human life, as it is responsible for huge loss of …
degradation is often a quasi-normal threat to human life, as it is responsible for huge loss of …