Machine learning based landslide susceptibility mapping models and GB-SAR based landslide deformation monitoring systems: Growth and evolution

B Ganesh, S Vincent, S Pathan, SRG Benitez - … Applications: Society and …, 2023 - Elsevier
Ongoing landslides have wreaked havoc in various regions across the globe. This article
presents a study of two forms of landslide monitoring viz; creation of Landslide Susceptibility …

Convolutional neural network (CNN) with metaheuristic optimization algorithms for landslide susceptibility mapping in Icheon, South Korea

WL Hakim, F Rezaie, AS Nur, M Panahi… - Journal of environmental …, 2022 - Elsevier
Landslides are a geological hazard that can pose a serious threat to human health and the
environment of highlands or mountain slopes. Landslide susceptibility mapping is an …

[HTML][HTML] Ensemble learning framework for landslide susceptibility mapping: Different basic classifier and ensemble strategy

T Zeng, L Wu, D Peduto, T Glade, YS Hayakawa… - Geoscience …, 2023 - Elsevier
The application of ensemble learning models has been continuously improved in recent
landslide susceptibility research, but most studies have no unified ensemble framework …

A novel hybrid of meta-optimization approach for flash flood-susceptibility assessment in a monsoon-dominated watershed, Eastern India

D Ruidas, R Chakrabortty, ARMT Islam, A Saha… - Environmental earth …, 2022 - Springer
The exponential growth in the number of flash flood events is a global threat, and detecting a
flood-prone area has also become a top priority. The flash flood-susceptibility mapping can …

[HTML][HTML] Flood susceptibility mapping using multi-temporal SAR imagery and novel integration of nature-inspired algorithms into support vector regression

S Mehravar, SV Razavi-Termeh, A Moghimi… - Journal of …, 2023 - Elsevier
Flood has long been known as one of the most catastrophic natural hazards worldwide.
Mapping flood-prone areas is an important part of flood disaster management. In this study …

Hydrogeochemical evaluation and corresponding health risk from elevated arsenic and fluoride contamination in recurrent coastal multi-aquifers of eastern India

AK Jaydhar, SC Pal, A Saha, ARMT Islam… - Journal of Cleaner …, 2022 - Elsevier
Increasing groundwater pollution through toxic contamination is the primary concern for
severe environmental and health hazards across the world. Groundwater resources are …

A novel swarm intelligence: cuckoo optimization algorithm (COA) and SailFish optimizer (SFO) in landslide susceptibility assessment

RMA Ikram, AA Dehrashid, B Zhang, Z Chen… - … Research and Risk …, 2023 - Springer
Inherent hazards such as landslides pose a threat to human life and may inflict significant
harm on the surrounding ecosystem. For planning, controlling, and avoiding landslide …

[HTML][HTML] Application of artificial intelligence in three aspects of landslide risk assessment: A comprehensive review

R He, W Zhang, J Dou, N Jiang, H Xiao, J Zhou - Rock Mechanics Bulletin, 2024 - Elsevier
Landslides are one of the geological disasters with wide distribution, high impact and
serious damage around the world. Landslide risk assessment can help us know the risk of …

[HTML][HTML] National-scale data-driven rainfall induced landslide susceptibility mapping for China by accounting for incomplete landslide data

Q Lin, P Lima, S Steger, T Glade, T Jiang, J Zhang… - Geoscience …, 2021 - Elsevier
China is one of the countries where landslides caused the most fatalities in the last decades.
The threat that landslide disasters pose to people might even be greater in the future, due to …

[HTML][HTML] Flash flood detection and susceptibility mapping in the Monsoon period by integration of optical and radar satellite imagery using an improvement of a …

SV Razavi-Termeh, MB Seo, A Sadeghi-Niaraki… - Weather and Climate …, 2023 - Elsevier
Rainfall monsoons and the resulting flooding have always been cataclysmic disasters that
have heightened global concerns in light of climate change. Flood susceptibility modeling is …