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Flood susceptibility modelling of the Teesta River Basin through the AHP-MCDA process using GIS and remote sensing
MN Hossain, UH Mumu - Natural Hazards, 2024 - Springer
Abstract The Lower Teesta River basin in northern Bangladesh, which is prone to recurrent
annual flooding, requires refined flood susceptibility analysis. In this context, this paper …
annual flooding, requires refined flood susceptibility analysis. In this context, this paper …
Future groundwater potential map** using machine learning algorithms and climate change scenarios in Bangladesh
The aim of the study was to estimate future groundwater potential zones based on machine
learning algorithms and climate change scenarios. Fourteen parameters (ie, curvature …
learning algorithms and climate change scenarios. Fourteen parameters (ie, curvature …
[HTML][HTML] Quantitative assessment of Land use/land cover changes in a develo** region using machine learning algorithms: A case study in the Kurdistan Region …
The identification of land use/land cover (LULC) changes is important for monitoring,
evaluating, and preserving natural resources. In the Kurdistan region, the utilization of …
evaluating, and preserving natural resources. In the Kurdistan region, the utilization of …
Coupling of machine learning and remote sensing for soil salinity map** in coastal area of Bangladesh
Soil salinity is a pressing issue for sustainable food security in coastal regions. However, the
coupling of machine learning and remote sensing was seldom employed for soil salinity …
coupling of machine learning and remote sensing was seldom employed for soil salinity …
Forecasting of flash flood susceptibility map** using random forest regression model and geographic information systems
Flash floods, rapid and devastating inundations of water, are increasingly linked to the
intensifying effects of climate change, posing significant challenges for both vulnerable …
intensifying effects of climate change, posing significant challenges for both vulnerable …
[HTML][HTML] Meteorological drought assessment in northern Bangladesh: A machine learning-based approach considering remote sensing indices
Meteorological drought, driven by inadequate precipitation, has significant repercussions for
water resources, agriculture, and human well-being. This study conducted an extensive …
water resources, agriculture, and human well-being. This study conducted an extensive …
[HTML][HTML] Partial least-squares regression for soil salinity map** in Bangladesh
Estimating the salinity of the soil along the coast of south-western Bangladesh is the focus of
this study. Thirteen soil salinity indicators were computed using the Landsat OLI images, and …
this study. Thirteen soil salinity indicators were computed using the Landsat OLI images, and …
[HTML][HTML] Soil erosion susceptibility map** in Bangladesh
This study aims to draw a scientific framework for plotting soil erosion susceptibility in the
Chittagong Hill Tracts of Bangladesh by comparing existing approaches. Data-driven …
Chittagong Hill Tracts of Bangladesh by comparing existing approaches. Data-driven …
A machine learning-based approach for flash flood susceptibility map** considering rainfall extremes in the northeast region of Bangladesh
Flash floods are catastrophic global events, especially in northeast Bangladesh, and
assessing flash flood susceptibility is crucial for preparedness and mitigation. Traditional …
assessing flash flood susceptibility is crucial for preparedness and mitigation. Traditional …
Leveraging GIS-based AHP, remote sensing, and machine learning for susceptibility assessment of different flood types in peshawar, Pakistan
M Tayyab, M Hussain, J Zhang, S Ullah, Z Tong… - Journal of …, 2024 - Elsevier
Due to its diverse topography, Pakistan faces different types of floods each year, which
cause substantial physical, environmental, and socioeconomic damage. However, the …
cause substantial physical, environmental, and socioeconomic damage. However, the …