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 …

Flash floods, rapid and devastating inundations of water, are increasingly linked to the
intensifying effects of climate change, posing significant challenges for both vulnerable …

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 …

Meteorological drought, driven by inadequate precipitation, has significant repercussions for
water resources, agriculture, and human well-being. This study conducted an extensive …

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 …

Due to its diverse topography, Pakistan faces different types of floods each year, which
cause substantial physical, environmental, and socioeconomic damage. However, the …

Flash floods are catastrophic global events, especially in northeast Bangladesh, and
assessing flash flood susceptibility is crucial for preparedness and mitigation. Traditional …

This research aims to assess the vulnerability to cyclones in the coastal regions of
Bangladesh, employing a comprehensive framework derived from the Intergovernmental …

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 …

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 …