Comprehensive risk assessment for identifying suitable residential zones in Manavgat, Mediterranean Region

S Dogan, C Kilicoglu, H Akinci, H Sevik, M Cetin… - Evaluation and program …, 2024 - Elsevier
The absence of comprehensive risk analysis in residential development within certain
regions often leads to substantial human and material losses during natural disasters. The …

Machine learning based forest fire susceptibility assessment of Manavgat district (Antalya), Turkey

HA Akıncı, H Akıncı - Earth Science Informatics, 2023 - Springer
This study primarily aims to produce forest fire susceptibility maps for the Manavgat district of
Antalya province in Turkey using different machine learning (ML) techniques. Forest fire …

A systematic review for assessing the impact of climate change on landslides: research gaps and directions for future research

A Sharma, H Sajjad, Roshani, MH Rahaman - Spatial Information …, 2024 - Springer
The magnitude and intensity of landslides due to changing climate have created
environmental and socio-economic implications for society. Through an in-depth analysis of …

Comparative analysis of tree-based ensemble learning algorithms for landslide susceptibility mapping: A case study in Rize, Turkey

A Yavuz Ozalp, H Akinci, M Zeybek - Water, 2023 - mdpi.com
The Eastern Black Sea Region is regarded as the most prone to landslides in Turkey due to
its geological, geographical, and climatic characteristics. Landslides in this region inflict both …

GIS-based data-driven bivariate statistical models for landslide susceptibility prediction in Upper Tista Basin, India

J Das, P Saha, R Mitra, A Alam, M Kamruzzaman - Heliyon, 2023 - cell.com
Predicting landslides is becoming a crucial global challenge for sustainable development in
mountainous areas. This research compares the landslide susceptibility maps (LSMs) …

Novel ensemble of deep learning neural network and support vector machine for landslide susceptibility mapping in Tehri region, Garhwal Himalaya

S Saha, A Saha, TK Hembram, B Kundu… - Geocarto …, 2022 - Taylor & Francis
Over the years, landslide has become one of the most destructive events that can happen in
hilly areas. Tehri, a region in the Himalayas is no different. Current research aids in the …

Landslide susceptibility mapping in a mountainous area using machine learning algorithms

H Shahabi, R Ahmadi, M Alizadeh, M Hashim… - Remote Sensing, 2023 - mdpi.com
Landslides are a dangerous natural hazard that can critically harm road infrastructure in
mountainous places, resulting in significant damage and fatalities. The primary purpose of …

Landslide susceptibility assessment using remote sensing and GIS-a review

V Bhardwaj, K Singh - Journal of Mining and Environment, 2023 - jme.shahroodut.ac.ir
Natural hazards are naturally occurring phenomena that might lead to a negative impact on
the environment and also on the life of living beings. These hazards are caused due to …

Spatial implementation of frequency ratio, statistical index and index of entropy models for landslide susceptibility mapping in Al-Balouta river basin, Tartous …

HG Abdo, H Almohamad, AA Al Dughairi, SA Ali… - Geoscience Letters, 2022 - Springer
Landslide vulnerability prediction maps are among the most important tools for managing
natural hazards associated with slope stability in river basins that affect ecosystems …

A hybrid multi-hazard susceptibility assessment model for a basin in Elazig Province, Türkiye

G Karakas, S Kocaman, C Gokceoglu - International Journal of Disaster …, 2023 - Springer
Preparation of accurate and up-to-date susceptibility maps at the regional scale is
mandatory for disaster mitigation, site selection, and planning in areas prone to multiple …