With the ever-growing complexity of models in the field of remote sensing (RS), there is an
increasing demand for solutions that balance model accuracy with computational efficiency …

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

Rapid and automated flood inundation map** is critical for disaster management. While
optical satellites provide valuable data on flood extent and impact, their real-time usage is …

Automatic satellite based flood identification is an essential activity. Indices and threshold
based flood detection can be enhanced using learning driven approaches. In this work, we …

In the face of increasing flood risks intensified by climate change, accurate flood inundation
map** is pivotal for effective disaster management. This study introduces a novel …

In this work, we introduce a synergistic framework to perform multitemporal and multimodal
flood extent map** from multispectral and SAR satellite image time series. Two state-of …

Global floods, exacerbated by climate change, pose severe threats to human life,
infrastructure, and the environment. This urgency is highlighted by recent catastrophic …

Extracting water bodies using C-band synthetic aperture radar (SAR) images has high
reliability. However, the limited backscatter sensitivity of SAR data makes it difficult to …