Landslide mapping with remote sensing: challenges and opportunities
Landslide mapping is the primary step for landslide investigation and prevention. At present,
both the accuracy and the degree of automation of landslide mapping with remote sensing …
both the accuracy and the degree of automation of landslide mapping with remote sensing …
A systematic review of landslide probability mapping using logistic regression
MEA Budimir, PM Atkinson, HG Lewis - Landslides, 2015 - Springer
Logistic regression studies which assess landslide susceptibility are widely available in the
literature. However, a global review of these studies to synthesise and compare the results …
literature. However, a global review of these studies to synthesise and compare the results …
Global fatal landslide occurrence from 2004 to 2016
MJ Froude, DN Petley - Natural Hazards and Earth System …, 2018 - nhess.copernicus.org
Landslides are a ubiquitous hazard in terrestrial environments with slopes, incurring human
fatalities in urban settlements, along transport corridors and at sites of rural industry …
fatalities in urban settlements, along transport corridors and at sites of rural industry …
Comparing the prediction performance of a Deep Learning Neural Network model with conventional machine learning models in landslide susceptibility assessment
DT Bui, P Tsangaratos, VT Nguyen, N Van Liem… - Catena, 2020 - Elsevier
The main objective of the current study was to introduce a Deep Learning Neural Network
(DLNN) model in landslide susceptibility assessments and compare its predictive …
(DLNN) model in landslide susceptibility assessments and compare its predictive …
Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches
Nowadays, a number of machine learning prediction methods are being applied in the field
of landslide susceptibility modeling of the large area especially in the difficult hilly terrain. In …
of landslide susceptibility modeling of the large area especially in the difficult hilly terrain. In …
Object-oriented mapping of landslides using Random Forests
Landslide inventory mapping is an indispensable prerequisite for reliable hazard and risk
analysis, and with the increasing availability of very high resolution (VHR) remote sensing …
analysis, and with the increasing availability of very high resolution (VHR) remote sensing …
A machine learning-based approach for wildfire susceptibility mapping. The case study of the Liguria region in Italy
M Tonini, M D'Andrea, G Biondi, S Degli Esposti… - Geosciences, 2020 - mdpi.com
Wildfire susceptibility maps display the spatial probability of an area to burn in the future,
based solely on the intrinsic local proprieties of a site. Current studies in this field often rely …
based solely on the intrinsic local proprieties of a site. Current studies in this field often rely …
[HTML][HTML] Landslide susceptibility maps of Italy: Lesson learnt from dealing with multiple landslide types and the uneven spatial distribution of the national inventory
Landslide susceptibility corresponds to the probability of landslide occurrence across a
given geographic space. This probability is usually estimated by using a binary classifier …
given geographic space. This probability is usually estimated by using a binary classifier …
A GIS-based landslide susceptibility mapping and variable importance analysis using artificial intelligent training-based methods
Landslides often cause significant casualties and economic losses, and therefore landslide
susceptibility mapping (LSM) has become increasingly urgent and important. The potential …
susceptibility mapping (LSM) has become increasingly urgent and important. The potential …
Selecting optimal conditioning factors in shallow translational landslide susceptibility mapping using genetic algorithm
Many landslide conditioning factors have been considered in the literature for landslide
susceptibility mapping, but it is not certain which factors produce the best result for an area …
susceptibility mapping, but it is not certain which factors produce the best result for an area …