A survey of machine learning and deep learning in remote sensing of geological environment: Challenges, advances, and opportunities

W Han, X Zhang, Y Wang, L Wang, X Huang… - ISPRS Journal of …, 2023 - Elsevier
Due to limited resources and environmental pollution, monitoring the geological
environment has become essential for many countries' sustainable development. As various …

Deep learning methods for flood mapping: a review of existing applications and future research directions

R Bentivoglio, E Isufi, SN Jonkman… - Hydrology and Earth …, 2022 - hess.copernicus.org
Deep Learning techniques have been increasingly used in flood management to overcome
the limitations of accurate, yet slow, numerical models, and to improve the results of …

[HTML][HTML] pyrepo-mcda—Reference objects based MCDA software package

J Wątróbski, A Bączkiewicz, W Sałabun - SoftwareX, 2022 - Elsevier
Abstract Multi-Criteria Decision Analysis (MCDA) methods have gained popularity among
practitioners and researchers in recent years. MCDA methods based on measuring the …

[HTML][HTML] An application of Multi-Attribute Utility Theory (MAUT) to the prioritization of rural roads to improve rural accessibility in Nigeria

U Akpan, R Morimoto - Socio-Economic Planning Sciences, 2022 - Elsevier
Good quality rural road infrastructure seems to contribute substantially to improvements in
several socio-economic indicators in rural areas: increases accessibility to markets …

The dual-risks context: A systematic literature review for the integrated management of flood and drought risks

PBR Alves, HH Loc, Y De Silva, J Penny… - International Journal of …, 2023 - Elsevier
Floods and droughts can cause severe impacts for communities. Even with different
temporal and spatial scales, these extreme events challenge risk management specially …

Geospatial modelling of floods: A literature review

E Avila-Aceves, W Plata-Rocha… - … Research and Risk …, 2023 - Springer
Floods are one of the most frequent, dangerous natural disasters globally. During the period
from 1990 to 2020, more than 50% of the world's recorded disasters were related to floods …

Flood hazards and risk mapping using geospatial technologies in Jimma City, southwestern Ethiopia

MA Weday, KW Tabor, DO Gemeda - Heliyon, 2023 - cell.com
Cities in Ethiopia are suffering from unprecedented floods due to climate change and other
anthropogenic activities. Failure to include land use planning and poorly designed urban …

[HTML][HTML] Data-driven approaches to built environment flood resilience: a scientometric and critical review

P Rathnasiri, O Adeniyi, N Thurairajah - Advanced Engineering Informatics, 2023 - Elsevier
Environmental hazards such as floods significantly frustrate the functionality of built assets.
In addressing flood-induced challenges, data usage has become important. Despite existing …

Riverine flood vulnerability assessment and zoning using geospatial data and MCDA method in Aq'Qala

K Ganji, S Gharechelou, A Ahmadi… - International Journal of …, 2022 - Elsevier
Aq'Qala county has been categorized in high flood-prone areas in Iran, therefore it faced
many major flood events in last two decades (eg in 2001, 2002, 2007, 2012, 2017, and …

A multicriteria decision model to improve emergency preparedness: Locating-allocating urban shelters against floods

NLB de Albuquerque, LBL da Silva, MH Alencar… - International Journal of …, 2024 - Elsevier
The increasing prominence of natural disasters in recent years has made emergency
disaster management one of the main challenges for building resilient societies. This way …