[1]
|
A new framework integrating flood inundation modeling and multicriteria decision-making for enhanced flood risk mapping
Natural Hazards,
2024
DOI:10.1007/s11069-024-06718-7
|
|
|
[2]
|
Flood susceptibility mapping contributes to disaster risk reduction: A case study in Sindh, Pakistan
International Journal of Disaster Risk Reduction,
2024
DOI:10.1016/j.ijdrr.2024.104503
|
|
|
[3]
|
Proposal of a flood damage road detection method based on deep learning and elevation data
Geomatics, Natural Hazards and Risk,
2024
DOI:10.1080/19475705.2024.2375545
|
|
|
[4]
|
Geospatial analysis of flood risk hazard in Zambezi Region, Namibia
Environmental Challenges,
2024
DOI:10.1016/j.envc.2024.100915
|
|
|
[5]
|
Indus River Delta: Contested Narratives in the Climate of Change
Asian Journal of Social Science,
2023
DOI:10.1016/j.ajss.2023.06.001
|
|
|
[6]
|
Indus River Delta: Contested Narratives in the Climate of Change
Asian Journal of Social Science,
2023
DOI:10.1016/j.ajss.2023.06.001
|
|
|
[7]
|
Remote Sensing of Water‐Related Hazards
Geophysical Monograph Series,
2022
DOI:10.1002/9781119159131.ch4
|
|
|
[8]
|
Recent variability of sub‐seasonal monsoon precipitation and its potential drivers in Myanmar using in‐situ observation during 1981–2020
International Journal of Climatology,
2022
DOI:10.1002/joc.7419
|
|
|
[9]
|
Flood risk mapping for the lower Narmada basin in India: a machine learning and IoT-based framework
Natural Hazards,
2022
DOI:10.1007/s11069-022-05347-2
|
|
|
[10]
|
Landslides and flood multi-hazard assessment using machine learning techniques
Bulletin of Engineering Geology and the Environment,
2022
DOI:10.1007/s10064-022-02874-x
|
|
|
[11]
|
Flood risk index in data-scarce river basins using the AHP and GIS approach
Natural Hazards,
2021
DOI:10.1007/s11069-021-04871-x
|
|
|
[12]
|
Flood hazard mapping and assessment in data-scarce Nyaungdon area, Myanmar
PLOS ONE,
2019
DOI:10.1371/journal.pone.0224558
|
|
|
[13]
|
Multi-criteria approach to develop flood susceptibility maps in arid regions of Middle East
Journal of Cleaner Production,
2018
DOI:10.1016/j.jclepro.2018.06.047
|
|
|