Floods are a natural hazard that affect communities worldwide, but to date the vast majority of flood hazard research and mapping has been undertaken by wealthy developed nations. As populations and economies have grown across the developing world, so too has demand from governments, businesses, and NGOs for modeled flood hazard data in these data-scarce regions. We identify six key challenges ...

With its unrivaled and global land monitoring capability, the Sentinel-1 mission has been established as a prime provider in SAR-based flood mapping. Compared to suitable single-image algorithms, change-detection methods offer better robustness, retrieving extent from classification of observed changes. This requires data-based parametrization. Moreover, scope automatic services, employed algor...

Abstract A correct understanding of the parameters and methods used in flood susceptibility mapping (FSM) is critical for identifying strengths limitations different approaches, as well developing methodologies. In this study, we examined scientific publications literature using WoS. Although number quite high (about 160 with submethods), these varies, a maximum 21 minimum 5 preferred. It was f...

Successful flood recovery and evacuation require access to reliable depth information. Most existing mapping tools do not provide real-time maps of inundated streets in around residential areas. In this paper, a deep convolutional network is used determine with high spatial resolution by analyzing crowdsourced images submerged traffic signs. Testing the model on photos from recent U.S. Canada y...

Urban floods are detrimental to societies, and flood mapping techniques provide essential support for decision-making on the better management of risks. This study presents a GIS-based characterization methodology rapid efficient identification urban flood-prone areas, which is especially relevant large-scale hazards emergency assessments data-scarce studies. The results suggested that optimal ...