A5075076790- Landslides and related hazards
- Cryospheric studies and observations
- Fire effects on ecosystems
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Flood Risk Assessment and Management
- Hydraulic Fracturing and Reservoir Analysis
- Hydrocarbon exploration and reservoir analysis
- Groundwater and Watershed Analysis
- Karst Systems and Hydrogeology
- Remote Sensing and LiDAR Applications
- Soil erosion and sediment transport
- Remote Sensing in Agriculture
- Species Distribution and Climate Change
China University of Geosciences
2024
Université Larbi Tébessi
2017-2023
University Ferhat Abbas of Setif
2023
University Frères Mentouri Constantine 1
2022
The quality of digital elevation models (DEMs), as well their spatial resolution, are important issues in geomorphic studies. However, influence on landslide susceptibility mapping (LSM) remains poorly constrained. This work determined the scale dependency DEM-derived geomorphometric factors LSM using a 5 m LiDAR DEM, resampled 30 and ASTER DEM. To verify validity our approach, we first compiled an inventory map comprising 267 landslides for Sihjhong watershed, Taiwan, from 2004 to 2014....
Landslide risk prevention requires the delineation of landslide-prone areas as accurately possible. Therefore, selecting a method or technique that is capable providing highest landslide prediction capability highly important. The main objective this study to assess and compare advanced machine learning methods for susceptibility mapping in Mila Basin (Algeria). First, geospatial database was constructed from various sources. contains 1156 polygons 16 conditioning factors (altitude, slope,...
The accurate prediction of landslide susceptibility relies on effectively handling absence samples in machine learning (ML) models. However, existing research tends to generate these feature space, posing challenges field validation, or using physics-informed models, thereby limiting their applicability. rapid progress interferometric synthetic aperture radar (InSAR) technology may bridge this gap by offering satellite images with extensive area coverage and precise surface deformation...
Karstic terrains are usually dominated by aquifer systems and/or underground cavities. Overexploitation of groundwater in such areas often induces land subsidence and sometimes causes sinkholes. The Cheria basin Algeria suffers from severe issues, this phenomenon has been increasing recent years due to population expansion uncontrolled exploitation. This work uses GPS data persistent scatterer interferometry synthetic aperture radar (PS-InSAR) techniques monitor the rate employing Sentinel-1...
Abstract Modeling potential habitat for plant species is an appropriate approach to maintain biodiversity, developing proper reforestation campaigns, and rehabilitating ecosystems. In this study, we investigated the distributions of four forest species, namely, Quercus faginea Lam.; Q. ilex L.; Tetraclinis articulata (Vahl) Mast.; Pistacia atlantica Desf. north-western Algeria at Saïda region. The MAXENT method was used model habitats these using topographic data as predictive variables a...
During the last decades, Cheria basin which is karstic region located northeast of Algeria was subjugated to unrationalised high groundwater extraction. The extracted waters were mainly used by local farmers for agriculture and daily-life purposes. As results, underground cavities sinkholes occurrence start overwhelm area due massive water extractions. Therefore, in this research we Sentinel-1A SAR satellite images with a spatial resolution monitor investigate vertical movement ground...