GIS-based landslide susceptibility mapping using numerical risk factor bivariate model and its ensemble with linear multivariate regression and boosted regression …
In this study, a novel approach of the landslide numerical risk factor (LNRF) bivariate model
was used in ensemble with linear multivariate regression (LMR) and boosted regression …
was used in ensemble with linear multivariate regression (LMR) and boosted regression …
[HTML][HTML] Landslide susceptibility zonation using geospatial technique and analytical hierarchy process in Sikkim Himalaya
This study aims to delineate landslide susceptibility maps using an integrated approach of
remote sensing, geographical information system (GIS), and Analytical Hierarchy Process …
remote sensing, geographical information system (GIS), and Analytical Hierarchy Process …
[HTML][HTML] Impact of DEM-derived factors and analytical hierarchy process on landslide susceptibility mapping in the region of Rożnów Lake, Poland
K Pawluszek, A Borkowski - Natural Hazards, 2017 - Springer
Choosing appropriate landslide-controlling factors (LCFs) in landslide susceptibility
mapping (LSM) is a challenging task and depends on the nature of terrain and expert …
mapping (LSM) is a challenging task and depends on the nature of terrain and expert …
[HTML][HTML] Landslide hazard zonation and evaluation around Debre Markos town, NW Ethiopia—a GIS-based bivariate statistical approach
D Asmare - Scientific African, 2022 - Elsevier
The main purpose of this study was to perform landslide hazard zonation and evaluation
around Debre Markos town, Northwest Ethiopia. This was achieved using a GIS-based …
around Debre Markos town, Northwest Ethiopia. This was achieved using a GIS-based …
Landslide susceptibility assessment through TrAdaBoost transfer learning models using two landslide inventories
F Zhiyong, L Changdong, Y Wenmin - Catena, 2023 - Elsevier
The prediction performance of conventional landslide susceptibility (LS) models is generally
limited by the size of samples in the landslide inventory, as unsatisfying performance may be …
limited by the size of samples in the landslide inventory, as unsatisfying performance may be …
[HTML][HTML] Multi-aspect analysis of object-oriented landslide detection based on an extended set of LiDAR-derived terrain features
K Pawłuszek, S Marczak, A Borkowski… - … International Journal of …, 2019 - mdpi.com
Landslide identification is a fundamental step enabling the assessment of landslide
susceptibility and determining the associated risks. Landslide identification by conventional …
susceptibility and determining the associated risks. Landslide identification by conventional …
A GIS-based factor clustering and landslide susceptibility analysis using AHP for Gish River Basin, India
T Basu, S Pal - Environment, development and sustainability, 2020 - Springer
Landslide susceptibility map provides a useful tool to the decision-makers to prevent and
mitigate landslide hazards. For this study 16 spatial parameters and past landslide inventory …
mitigate landslide hazards. For this study 16 spatial parameters and past landslide inventory …
Landslide prediction capability by comparison of frequency ratio, fuzzy gamma and landslide index method
M Gholami, EN Ghachkanlu, K Khosravi… - Journal of Earth System …, 2019 - Springer
This study presented the prediction capability of three methods including the frequency ratio
(FR), fuzzy gamma (FG) and landslide index method (LIM) to produce landslide-prone areas …
(FR), fuzzy gamma (FG) and landslide index method (LIM) to produce landslide-prone areas …
[HTML][HTML] Landslide features identification and morphology investigation using high-resolution DEM derivatives
K Pawluszek - Natural Hazards, 2019 - Springer
In the last decade, development in remote sensing techniques has opened new avenues for
studying the evolution of landscapes dominated by mass wasting processes. Conventional …
studying the evolution of landscapes dominated by mass wasting processes. Conventional …
Application of AHP based geospatial modeling for assessment of landslide hazard zonation along Mughal road in the Pir Panjal Himalayas
Mughal road located in the high mountainous region of Kashmir Himalaya, India is prone to
landslide hazards because of anthropogenic pressure and ongoing climate change …
landslide hazards because of anthropogenic pressure and ongoing climate change …