A survey of machine learning and deep learning in remote sensing of geological environment: Challenges, advances, and opportunities
Due to limited resources and environmental pollution, monitoring the geological
environment has become essential for many countries' sustainable development. As various …
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
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 …
the limitations of accurate, yet slow, numerical models, and to improve the results of …
[HTML][HTML] pyrepo-mcda—Reference objects based MCDA software package
Abstract Multi-Criteria Decision Analysis (MCDA) methods have gained popularity among
practitioners and researchers in recent years. MCDA methods based on measuring the …
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 …
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
Floods and droughts can cause severe impacts for communities. Even with different
temporal and spatial scales, these extreme events challenge risk management specially …
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 …
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 …
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
Environmental hazards such as floods significantly frustrate the functionality of built assets.
In addressing flood-induced challenges, data usage has become important. Despite existing …
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 …
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 …
disaster management one of the main challenges for building resilient societies. This way …