Modelling multi-hazard threats to cultural heritage sites and environmental sustainability: The present and future scenarios

A Saha, SC Pal, M Santosh, S Janizadeh… - Journal of Cleaner …, 2021 - Elsevier
Cultural heritage sites, particularly those in mountainous regions face serious threats as
mountains are hazardous places and many of them are located on shifting tectonic plates …

Vertical accuracy of freely available global digital elevation models (ASTER, AW3D30, MERIT, TanDEM-X, SRTM, and NASADEM)

E Uuemaa, S Ahi, B Montibeller, M Muru, A Kmoch - Remote Sensing, 2020 - mdpi.com
Freely available global digital elevation models (DEMs) are important inputs for many
research fields and applications. During the last decade, several global DEMs have been …

[HTML][HTML] Multi-hazard susceptibility mapping based on Convolutional Neural Networks

K Ullah, Y Wang, Z Fang, L Wang, M Rahman - Geoscience Frontiers, 2022 - Elsevier
Multi-hazard susceptibility prediction is an important component of disasters risk
management plan. An effective multi-hazard risk mitigation strategy includes assessing …

A machine learning framework for multi-hazards modeling and mapping in a mountainous area

S Yousefi, HR Pourghasemi, SN Emami, S Pouyan… - Scientific Reports, 2020 - nature.com
This study sought to produce an accurate multi-hazard risk map for a mountainous region of
Iran. The study area is in southwestern Iran. The region has experienced numerous extreme …

Flood hazard and risk mapping by applying an explainable machine learning framework using satellite imagery and GIS data

G Antzoulatos, IO Kouloglou, M Bakratsas… - Sustainability, 2022 - mdpi.com
Flooding is one of the most destructive natural phenomena that happen worldwide, leading
to the damage of property and infrastructure or even the loss of lives. The escalation in the …

Flood susceptibility prediction using four machine learning techniques and comparison of their performance at Wadi Qena Basin, Egypt

BA El-Haddad, AM Youssef, HR Pourghasemi… - Natural Hazards, 2021 - Springer
Floods represent catastrophic environmental hazards that have a significant impact on the
environment and human life and their activities. Environmental and water management in …

Explainable step-wise binary classification for the susceptibility assessment of geo-hydrological hazards

Ö Ekmekcioğlu, K Koc - Catena, 2022 - Elsevier
This research proposes a novel step-wise binary prediction framework for the susceptibility
assessment of geo-hydrological hazards specific to floods and landslides. The framework of …

Integration of hard and soft supervised machine learning for flood susceptibility mapping

S Andaryani, V Nourani, AT Haghighi… - Journal of Environmental …, 2021 - Elsevier
Flooding is a destructive natural phenomenon that causes many casualties and property
losses in different parts of the world every year. Efficient flood susceptibility mapping (FSM) …

Multi-hazard exposure mapping using machine learning for the State of Salzburg, Austria

TG Nachappa, O Ghorbanzadeh, K Gholamnia… - Remote Sensing, 2020 - mdpi.com
We live in a sphere that has unpredictable and multifaceted landscapes that make the risk
arising from several incidences that are omnipresent. Floods and landslides are widespread …

Multi-hazard spatial modeling via ensembles of machine learning and meta-heuristic techniques

M Bordbar, H Aghamohammadi, HR Pourghasemi… - Scientific Reports, 2022 - nature.com
Considering the large number of natural disasters on the planet, many areas in the world are
at risk of these hazards; therefore, providing an integrated map as a guide map for multiple …