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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…

计算机视觉与模式识别 · 计算机科学 2022-12-13 Ritu Yadav , Andrea Nascetti , Yifang Ban

Ground-based sky cameras (popularly known as Whole Sky Imagers) are increasingly used now-a-days for continuous monitoring of the atmosphere. These imagers have higher temporal and spatial resolutions compared to conventional satellite…

计算机视觉与模式识别 · 计算机科学 2016-10-24 Soumyabrata Dev , Shilpa Manandhar , Yee Hui Lee , Stefan Winkler

Mapping floods using satellite data is crucial for managing and mitigating flood risks. Satellite imagery enables rapid and accurate analysis of large areas, providing critical information for emergency response and disaster management.…

计算机视觉与模式识别 · 计算机科学 2023-08-21 Jonathan Giezendanner , Rohit Mukherjee , Matthew Purri , Mitchell Thomas , Max Mauerman , A. K. M. Saiful Islam , Beth Tellman

To address the mounting destruction caused by floods in climate-vulnerable regions, we propose Street to Cloud, a machine learning pipeline for incorporating crowdsourced ground truth data into the segmentation of satellite imagery of…

计算机视觉与模式识别 · 计算机科学 2020-11-17 Veda Sunkara , Matthew Purri , Bertrand Le Saux , Jennifer Adams

Maritime surveillance (MS) is crucial for search and rescue operations, fishery monitoring, pollution control, law enforcement, migration monitoring, and national security policies. Since the early days of seafaring, MS has been a critical…

The use of satellite imagery has become increasingly popular for disaster monitoring and response. After a disaster, it is important to prioritize rescue operations, disaster response and coordinate relief efforts. These have to be carried…

计算机与社会 · 计算机科学 2018-12-19 Jigar Doshi , Saikat Basu , Guan Pang

Surface water dynamics play a critical role in Earth's climate system, influencing ecosystems, agriculture, disaster resilience, and sustainable development. Yet monitoring rivers and surface water at fine spatial and temporal scales…

Floods are one of the most common disasters globally. Flood affects humans in many ways. Therefore, rapid assessment is needed to assess the effect of floods and to take early action to support the vulnerable community in time. Sentinel-1…

计算机与社会 · 计算机科学 2023-11-28 Surajit Ghosh , Arpan Dawn , Sneha Kour , Susmita Ghosh

Global environment monitoring is a task that requires additional attention in the contemporary rapid climate change environment. This includes monitoring the rate of deforestation and areas affected by flooding. Satellite imaging has…

计算机视觉与模式识别 · 计算机科学 2022-07-25 Dmytro Filatov , Ghulam Nabi Ahmad Hassan Yar

Urban flooding affects lives and infrastructure worldwide. Mapping inundation in complex urban environments from satellite imagery remains challenging due to limited spatial resolution, infrequent acquisitions, and cloud cover. We present…

计算机视觉与模式识别 · 计算机科学 2026-04-28 Rohit Mukherjee , Hannah K. Friedrich , Beth Tellman , Ariful Islam , Zhijie Zhang , Jonathan Giezendanner , Upmanu Lall , Venkataraman Lakshmi

Climate change is leading to more and more extreme weather events such as heavy rainfall and flooding. This technical report deals with the question of how rescue commanders can be better and faster provided with current information during…

机器人学 · 计算机科学 2022-09-08 Hartmut Surmann , Dominik Slomma , Robert Grafe , Stefan Grobelny

Satellite imagery is widely used in many application sectors, including agriculture, navigation, and urban planning. Frequently, satellite imagery involves both large numbers of images as well as high pixel counts, making satellite datasets…

计算机视觉与模式识别 · 计算机科学 2021-05-27 Joshua Abraham , Calden Wloka

Flood forecasts are crucial for effective individual and governmental protective action. The vast majority of flood-related casualties occur in developing countries, where providing spatially accurate forecasts is a challenge due to…

机器学习 · 计算机科学 2019-10-31 Zvika Ben-Haim , Vladimir Anisimov , Aaron Yonas , Varun Gulshan , Yusef Shafi , Stephan Hoyer , Sella Nevo

The short-term prediction of precipitation is critical in many areas of life. Recently, a large body of work was devoted to forecasting radar reflectivity images. The radar images are available only in areas with ground weather radars.…

计算机视觉与模式识别 · 计算机科学 2022-12-01 Jiří Pihrt , Rudolf Raevskiy , Petr Šimánek , Matej Choma

Floods are among the most common and deadly natural disasters in the world, and flood warning systems have been shown to be effective in reducing harm. Yet the majority of the world's vulnerable population does not have access to reliable…

大气与海洋物理 · 物理学 2020-12-08 Sella Nevo , Gal Elidan , Avinatan Hassidim , Guy Shalev , Oren Gilon , Grey Nearing , Yossi Matias

Accurate and timely mapping of flood extent from high-resolution satellite imagery plays a crucial role in disaster management such as damage assessment and relief activities. However, current state-of-the-art solutions are based on U-Net,…

计算机视觉与模式识别 · 计算机科学 2024-09-27 Mirza Tanzim Sami , Da Yan , Saugat Adhikari , Lyuheng Yuan , Jiao Han , Zhe Jiang , Jalal Khalil , Yang Zhou

Floods pose significant risks to human lives, infrastructure, and the environment. Timely and accurate flood forecasting plays a pivotal role in mitigating these risks. This study presents a proof-of-concept for a Digital Twin framework…

图像与视频处理 · 电气工程与系统科学 2026-03-02 Thanh Huy Nguyen , Sukriti Bhattacharya , Jefferson S. Wong , Yoanne Didry , Duc Long Phan , Thomas Tamisier , Patrick Matgen

Floods cause serious problems around the world. Responding quickly and effectively requires accurate and timely information about the affected areas. The effective use of Remote Sensing images for accurate flood detection requires specific…

计算机视觉与模式识别 · 计算机科学 2025-04-30 Vladyslav Polushko , Damjan Hatic , Ronald Rösch , Thomas März , Markus Rauhut , Andreas Weinmann

Object detection in high-resolution satellite imagery is emerging as a scalable alternative to on-the-ground survey data collection in many environmental and socioeconomic monitoring applications. However, performing object detection over…

计算机视觉与模式识别 · 计算机科学 2021-12-17 Chenlin Meng , Enci Liu , Willie Neiswanger , Jiaming Song , Marshall Burke , David Lobell , Stefano Ermon

Accurately tracking the global distribution and evolution of precipitation is essential for both research and operational meteorology. Satellite observations remain the only means of achieving consistent, global-scale precipitation…