As one of nature's most destructive calamities, floods cause fatalities, property destruction,
and infrastructure damage, affecting millions of people worldwide. Due to its ability to …

This study aimed to provide a systematic overview of the progress made in utilizing remote
sensing for assessing the impacts of land use and land cover (LULC) changes on water …

Satellite imagery offers extensive information that can be used for a variety of societal
applications, from the number of buildings in a metropolis to the land cover types of a …

Automated water body detection from satellite imagery is a fundamental stage for urban
hydrological studies. In recent years, various deep convolutional neural network (DCNN) …

Abstract Clean Water and Sanitation, the sixth goal of Sustainable Development Goals
(SDGs 6) is a call for action by the United Nations aiming at balancing the water cycle for …

Water body classification from high-resolution optical remote sensing (RS) images, aiming at
classifying whether each pixel of the image is water or not, has become a hot issue in the …

Water features (eg, water quantity and water quality) are one of the most important
environmental factors essential to improving climate-change resilience. Remote sensing …

Urban floods are very destructive and have significant socioeconomic repercussions in
regions with a common flooding prevalence. Various researchers have laid down numerous …

Flood risk assessment and map** is required for management and mitigation of flood in
mountain cities. However, the specific characteristics of population, society, economy …

Floods are frequently occurring events in the Assam region due to the presence of the
Brahmaputra River and the heavy monsoon period. An efficient and reliable methodology is …