Floods are one of the most common natural disasters, causing fatalities and severe
economic and environmental impacts, directly affecting agriculture, urban infrastructure, and …

Natural disasters cause extensive infrastructure and significant economic losses, hindering
sustainable development and impeding social and economic progress. More importantly …

This research aims to investigate the challenges of using black box models in deep learning
and analyzing satellite images through a thorough meta-analysis. The main goal of the study …

Monitoring and evaluating floods is crucial for geographic information systems (GIS). The
low backscattering coefficient of flood surfaces makes them appear darker in synthetic …

The precise detection of a surface water body using synthetic aperture radar (SAR) images
is crucial for flood mitigation, disaster reduction, and water resource planning applications …

Synthetic Aperture Radar (SAR) imagery plays a critical role in flood map** due to its
ability to capture data under all-weather and day-and-night conditions. However, existing …

Methane emissions from oil and gas infrastructure, wetlands, and livestock contribute to the
greenhouse gas inventory. The analysis of satellite short-wave infrared imagery offers …

Floods are considering as one of the most common natural disasters, affecting seriously
both natural and man-made environment. Remote sensing has proved to be an effective …