Fault-based geological lineaments extraction using remote sensing and GIS—a review
Geological lineaments are the earth's linear features indicating significant tectonic units in
the crust associated with the formation of minerals, active faults, groundwater controls …
the crust associated with the formation of minerals, active faults, groundwater controls …
Groundwater potential mapping using geospatial techniques: a case study of Dhungeta-Ramis sub-basin, Ethiopia
AD Tolche - Geology, Ecology, and Landscapes, 2021 - Taylor & Francis
The objective of this paper is to exploit the potential application of weighted index overlay
analysis for assessing groundwater potential mapping at Dhungeta-Ramis sub-basin, Wabi …
analysis for assessing groundwater potential mapping at Dhungeta-Ramis sub-basin, Wabi …
Spatial modeling and susceptibility zonation of landslides using random forest, naïve bayes and K-nearest neighbor in a complicated terrain
SA Abu El-Magd, SA Ali, QB Pham - Earth Science Informatics, 2021 - Springer
Recently, one of the most frequent natural hazards around several regions in the world is the
landslide events. The area of Jabal Farasan in the northwest Jeddah of Saudi Arabia suffers …
landslide events. The area of Jabal Farasan in the northwest Jeddah of Saudi Arabia suffers …
Highway proneness appraisal to landslides along Taiping to Ipoh Segment Malaysia, using MCDM and GIS techniques
IB Yamusa, MS Ismail, A Tella - Sustainability, 2022 - mdpi.com
Landslides are geological hazards that claim lives and affect socio-economic growth.
Despite increased slope failure, some constructions, such as road constructions, are still …
Despite increased slope failure, some constructions, such as road constructions, are still …
A novel ensemble approach of bivariate statistical-based logistic model tree classifier for landslide susceptibility assessment
W Chen, H Shahabi, A Shirzadi, T Li, C Guo… - Geocarto …, 2018 - Taylor & Francis
This study addresses landslide susceptibility mapping (LSM) using a novel ensemble
approach of using a bivariate statistical method (weights of evidence [WoE] and evidential …
approach of using a bivariate statistical method (weights of evidence [WoE] and evidential …
Extraction and analysis of geological lineaments combining a DEM and remote sensing images from the northern Baoji loess area
L Han, Z Liu, Y Ning, Z Zhao - Advances in Space Research, 2018 - Elsevier
Geological lineaments are important reactant of geological structure on the surface, and
control the distribution of regional groundwater, geohazards, geothermal and earthquakes …
control the distribution of regional groundwater, geohazards, geothermal and earthquakes …
Effect of the normalized difference vegetation index (NDVI) on GIS-enabled bivariate and multivariate statistical models for landslide susceptibility mapping
In this study, the effect of NDVI is observed on the landslide susceptibility maps (LSMs)
being created using GIS-based bivariate and multivariate statistical models such as …
being created using GIS-based bivariate and multivariate statistical models such as …
Multi-hazard susceptibility mapping for disaster risk reduction in Kargil-Ladakh Region of Trans-Himalayan India
Mountainous regions are prone to multiple hazards, which often result in loss of life and
damage to property. Despite being prone to multiple hazards, the Himalayan Region has a …
damage to property. Despite being prone to multiple hazards, the Himalayan Region has a …
[HTML][HTML] Spatial assessment of groundwater potential using Quantum GIS and multi-criteria decision analysis (QGIS-AHP) in the Sawla-Tuna-Kalba district of Ghana
P Kpiebaya, EEY Amuah, AG Shaibu… - Journal of Hydrology …, 2022 - Elsevier
Abstract Study region Sawla-Tuna-Kalba (4226 km 2). Study focus This study employed
QGIS to assess the groundwater potential in the Sawla-Tuna-Kalba district of Ghana with …
QGIS to assess the groundwater potential in the Sawla-Tuna-Kalba district of Ghana with …
Landslide inventory and susceptibility models considering the landslide typology using deep learning: Himalayas, India
Landslide susceptibility modeling is complex as it involves different types of landslides and
diverse interests of the end-user. Developing mitigation strategies for the landslides …
diverse interests of the end-user. Developing mitigation strategies for the landslides …