This paper brings a comprehensive systematic review of the application of geospatial
artificial intelligence (GeoAI) in quantitative human geography studies, including the …

Flood prediction has advanced significantly in terms of technique and capacity to achieve
policymakers' objectives of accurate forecast and identification of flood-prone and impacted …

Abstract In the Sub-Himalayan foothills region of eastern India, floods are considered the
most powerful annually occurring natural disaster, which cause severe losses to the socio …

Bangladesh experiences frequent hydro-climatic disasters such as flooding. These disasters
are believed to be associated with land use changes and climate variability. However …

Health hazard risk map** (HHRM) is an important technique used to estimate the potential
health risk of an individual, a group, or an entire community of a region. To further progress …

Floods are one of the most perilous natural calamities that cause property destruction and
endanger human life. The spatial patterns of flood susceptibility were assessed in this study …

Flash floods are the most dangerous kinds of floods because they combine the destructive
power of a flood with incredible speed. They occur when heavy rainfall exceeds the ability of …

Floods are among the devastating natural disasters that occurred very frequently in arid
regions during the last decades. Accurate assessment of the flood susceptibility map** is …

Flood susceptibility maps are useful tool for planners and emergency management
professionals in the early warning and mitigation stages of floods. In this study, Sentinel-1 …

This study presents two machine learning models, namely, the light gradient boosting
machine (LightGBM) and categorical boosting (CatBoost), for the first time for predicting …