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 …

Future groundwater potential map** using machine learning algorithms and climate change scenarios in Bangladesh

SK Sarkar, RR Rudra, S Talukdar, PC Das, MS Nur… - Scientific Reports, 2024 - nature.com
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 …

Coupling of machine learning and remote sensing for soil salinity map** in coastal area of Bangladesh

SK Sarkar, RR Rudra, AR Sohan, PC Das… - Scientific Reports, 2023 - nature.com
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 …

Forecasting of flash flood susceptibility map** using random forest regression model and geographic information systems

M Wahba, R Essam, M El-Rawy, N Al-Arifi, F Abdalla… - Heliyon, 2024 - cell.com
Flash floods, rapid and devastating inundations of water, are increasingly linked to the
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

MA Sadiq, SK Sarkar, SS Raisa - Ecological Indicators, 2023 - Elsevier
Meteorological drought, driven by inadequate precipitation, has significant repercussions for
water resources, agriculture, and human well-being. This study conducted an extensive …

[HTML][HTML] Partial least-squares regression for soil salinity map** in Bangladesh

SK Sarkar, RR Rudra, MS Nur, PC Das - Ecological Indicators, 2023 - Elsevier
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 …

[HTML][HTML] Soil erosion susceptibility map** in Bangladesh

H Sadia, SK Sarkar, M Haydar - Ecological Indicators, 2023 - Elsevier
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 …

A machine learning-based approach for flash flood susceptibility map** considering rainfall extremes in the northeast region of Bangladesh

ME Chowdhury, AKMS Islam, RU Zzaman… - Advances in Space …, 2025 - Elsevier
Flash floods are catastrophic global events, especially in northeast Bangladesh, and
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 …