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Related papers: Automated flood detection from Sentinel-1 GRD time…

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Due to its cloud-penetrating capability and independence from solar illumination, satellite Synthetic Aperture Radar (SAR) is the preferred data source for large-scale flood mapping, providing global coverage and including various land…

Computer Vision and Pattern Recognition · Computer Science 2024-06-07 Jie Zhao , Zhitong Xiong , Xiao Xiang Zhu

Human civilization has an increasingly powerful influence on the earth system. Affected by climate change and land-use change, natural disasters such as flooding have been increasing in recent years. Earth observations are an invaluable…

Computer Vision and Pattern Recognition · Computer Science 2022-12-08 Ritu Yadav , Andrea Nascetti , Hossein Azizpour , Yifang Ban

The detection of flooded areas using high-resolution synthetic aperture radar (SAR) imagery is a critical task with applications in crisis and disaster management, as well as environmental resource planning. However, the complex nature of…

Computer Vision and Pattern Recognition · Computer Science 2023-06-02 Tamer Saleh , Xingxing Weng , Shimaa Holail , Chen Hao , Gui-Song Xia

Identifying flood affected areas in remote sensing data is a critical problem in earth observation to analyze flood impact and drive responses. While a number of methods have been proposed in the literature, there are two main limitations…

Computer Vision and Pattern Recognition · Computer Science 2024-03-07 Xavier Bou , Thibaud Ehret , Rafael Grompone von Gioi , Jeremy Anger

Floods cause extensive global damage annually, making effective monitoring essential. While satellite observations have proven invaluable for flood detection and tracking, comprehensive global flood datasets spanning extended time periods…

Computer Vision and Pattern Recognition · Computer Science 2025-04-30 Amit Misra , Kevin White , Simone Fobi Nsutezo , William Straka , Juan Lavista

Due to climate and land-use change, natural disasters such as flooding have been increasing in recent years. Timely and reliable flood detection and mapping can help emergency response and disaster management. In this work, we propose a…

Computer Vision and Pattern Recognition · Computer Science 2022-12-13 Ritu Yadav , Andrea Nascetti , Yifang Ban

Relevant comprehension of flood hazards has emerged as a crucial necessity, especially as the severity and the occurrence of flood events intensify with climate changes. Flood simulation and forecast capability have been greatly improved…

Image and Video Processing · Electrical Eng. & Systems 2022-11-18 Thanh Huy Nguyen , Anthéa Delmotte , Christophe Fatras , Peter Kettig , Andrea Piacentini , Sophie Ricci

Satellite remote sensing presents a cost-effective solution for synoptic flood monitoring, and satellite-derived flood maps provide a computationally efficient alternative to numerical flood inundation models traditionally used. While…

Geophysics · Physics 2022-09-05 Antara Dasgupta , Lasse Hybbeneth , Björn Waske

Floods are increasingly frequent natural disasters causing extensive human and economic damage, highlighting the critical need for rapid and accurate flood inundation mapping. While remote sensing technologies have advanced flood monitoring…

Computer Vision and Pattern Recognition · Computer Science 2025-09-30 Tomohiro Tanaka , Narumasa Tsutsumida

Floods wreak havoc throughout the world, causing billions of dollars in damages, and uprooting communities, ecosystems and economies. The NASA Impact Flood Detection competition tasked participants with predicting flooded pixels after…

Computer Vision and Pattern Recognition · Computer Science 2021-10-26 Sayak Paul , Siddha Ganju

Accurate change detection from satellite imagery is essential for monitoring rapid mass-movement hazards such as snow avalanches, which increasingly threaten human life, infrastructure, and ecosystems due to their rising frequency and…

Computer Vision and Pattern Recognition · Computer Science 2026-03-25 Mattia Gatti , Alberto Mariani , Ignazio Gallo , Fabiano Monti

Accurate detection of inundated water extents during flooding events is crucial in emergency response decisions and aids in recovery efforts. Satellite Remote Sensing data provides a global framework for detecting flooding extents.…

Computer Vision and Pattern Recognition · Computer Science 2023-11-17 Muthukumaran Ramasubramanian , Iksha Gurung , Shubhankar Gahlot , Ronny Hänsch , Andrew L. Molthan , Manil Maskey

Climate change has increased the severity and frequency of weather disasters all around the world. Flood inundation mapping based on earth observation data can help in this context, by providing cheap and accurate maps depicting the area…

Machine Learning · Computer Science 2023-03-02 Kevin Iselborn , Marco Stricker , Takashi Miyamoto , Marlon Nuske , Andreas Dengel

In flood disasters, decision-makers have to rapidly prioritise the areas that need assistance based on a high volume of information. While approaches that combine GIS with Bayesian networks are generally effective in integrating multiple…

Applications · Statistics 2025-06-24 Moritz Schneider , Lukas Halekotte , Tina Comes , Frank Fiedrich

Understanding the extent of urban flooding is crucial for assessing building damage, casualties and economic losses. Synthetic Aperture Radar (SAR) technology offers significant advantages for mapping flooded urban areas due to its ability…

Image and Video Processing · Electrical Eng. & Systems 2024-11-08 Jie Zhao , Ming Li , Yu Li , Patrick Matgen , Marco Chini

The flooding extent area in a river valley is related to river gauge observations. The higher the water elevation, the larger the flooding area. Due to synthetic aperture radar\textquoteright s (SAR) capabilities to penetrate through…

Machine Learning · Computer Science 2024-10-14 Monika Gierszewska , Tomasz Berezowski

Driven by rapid climate change, the frequency and intensity of flood events are increasing. Electro-Optical (EO) satellite imagery is commonly utilized for rapid response. However, its utilities in flood situations are hampered by issues…

Computer Vision and Pattern Recognition · Computer Science 2023-07-17 Minseok Seo , Youngtack Oh , Doyi Kim , Dongmin Kang , Yeji Choi

Flood simulation and forecast capability have been greatly improved thanks to advances in data assimilation. Such an approach combines in-situ gauge measurements with numerical hydrodynamic models to correct the hydraulic states and reduce…

Image and Video Processing · Electrical Eng. & Systems 2022-02-07 Thanh Huy Nguyen , Sophie Ricci , Christophe Fatras , Andrea Piacentini , Anthéa Delmotte , Emeric Lavergne , Peter Kettig

The increasing impact of human-induced climate change and unplanned urban constructions has increased flooding incidents in recent years. Accurate identification of flooded areas is crucial for effective disaster management and urban…

Computer Vision and Pattern Recognition · Computer Science 2025-02-25 Muhammad Umair Danish , Madhushan Buwaneswaran , Tehara Fonseka , Katarina Grolinger

Rapid assessment after a natural disaster is key for prioritizing emergency resources. In the case of landslides, rapid assessment involves determining the extent of the area affected and measuring the size and location of individual…

Computer Vision and Pattern Recognition · Computer Science 2022-11-21 Vanessa Böhm , Wei Ji Leong , Ragini Bal Mahesh , Ioannis Prapas , Edoardo Nemni , Freddie Kalaitzis , Siddha Ganju , Raul Ramos-Pollan
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