Landslide detection, monitoring and prediction with remote-sensing techniques
Landslides are widespread occurrences that can become catastrophic when they occur near
settlements and infrastructure. Detection, monitoring and prediction are fundamental to …
settlements and infrastructure. Detection, monitoring and prediction are fundamental to …
Review of satellite interferometry for landslide detection in Italy
Landslides recurrently impact the Italian territory, producing huge economic losses and
casualties. Because of this, there is a large demand for monitoring tools to support landslide …
casualties. Because of this, there is a large demand for monitoring tools to support landslide …
Detection and segmentation of loess landslides via satellite images: A two-phase framework
Landslides are catastrophic natural hazards that often lead to loss of life, property damage,
and economic disruption. Image-based landslide investigations are crucial for determining …
and economic disruption. Image-based landslide investigations are crucial for determining …
Landslide detection from an open satellite imagery and digital elevation model dataset using attention boosted convolutional neural networks
Convolution neural network (CNN) is an effective and popular deep learning method which
automatically learns complicated non-linear map** from original inputs to given labels or …
automatically learns complicated non-linear map** from original inputs to given labels or …
Integration of Sentinel-1 and ALOS/PALSAR-2 SAR datasets for map** active landslides along the **sha River corridor, China
Landslide hazards along the **sha River corridor pose serious threats to the lives and
property of local residents and can affect the safety of hydropower facilities because of the …
property of local residents and can affect the safety of hydropower facilities because of the …
[HTML][HTML] Uncertainty pattern in landslide susceptibility prediction modelling: Effects of different landslide boundaries and spatial shape expressions
In some studies on landslide susceptibility map** (LSM), landslide boundary and spatial
shape characteristics have been expressed in the form of points or circles in the landslide …
shape characteristics have been expressed in the form of points or circles in the landslide …
Interpretation and sensitivity analysis of the InSAR line of sight displacements in landslide measurements
Landslides are major geological hazards and frequently occur in mountainous areas with
steep slopes, often causing significant loss. Interferometric Synthetic Aperture Radar …
steep slopes, often causing significant loss. Interferometric Synthetic Aperture Radar …
[HTML][HTML] An updating of landslide susceptibility prediction from the perspective of space and time
Due to the similarity of conditioning factors, the aggregation feature of landslides and the
multi-temporal landslide inventory, the spatial and temporal effects of landslides need to be …
multi-temporal landslide inventory, the spatial and temporal effects of landslides need to be …
Modeling landslide susceptibility using LogitBoost alternating decision trees and forest by penalizing attributes with the bagging ensemble
The major target of this study is to design two novel hybrid integration artificial intelligent
models, which are denoted as LADT-Bagging and FPA-Bagging, for modeling landslide …
models, which are denoted as LADT-Bagging and FPA-Bagging, for modeling landslide …
Landslide susceptibility modeling using integrated ensemble weights of evidence with logistic regression and random forest models
W Chen, Z Sun, J Han - Applied sciences, 2019 - mdpi.com
The main aim of this study was to compare the performances of the hybrid approaches of
traditional bivariate weights of evidence (WoE) with multivariate logistic regression (WoE …
traditional bivariate weights of evidence (WoE) with multivariate logistic regression (WoE …