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Related papers: Global Offshore Wind Infrastructure: Deployment an…

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The increasing use of marine spaces by offshore infrastructure, including oil and gas platforms, underscores the need for consistent, scalable monitoring. Offshore development has economic, environmental, and regulatory implications, yet…

Image and Video Processing · Electrical Eng. & Systems 2026-03-23 Robin Spanier , Thorsten Hoeser , John Truckenbrodt , Felix Bachofer , Claudia Kuenzer

Offshore wind farms represent a renewable energy source with a significant global growth trend, and their monitoring is strategic for territorial and environmental planning. This study's primary objective is to detect offshore wind plants…

Computer Vision and Pattern Recognition · Computer Science 2023-12-15 Osmar Luiz Ferreira de Carvalho , Osmar Abilio de Carvalho Junior , Anesmar Olino de Albuquerque , Daniel Guerreiro e Silva

Ocean surface monitoring, especially oil slick detection, has become mandatory due to its importance for oil exploration and risk prevention on ecosystems. For years, the detection task has been performed manually by photo-interpreters…

Computer Vision and Pattern Recognition · Computer Science 2022-04-14 Emna Amri , Hermann Courteille , A Benoit , Philippe Bolon , Dominique Dubucq , Gilles Poulain , Anthony Credoz

The recent and ongoing expansion of marine infrastructure, including offshore wind farms, oil and gas platforms, artificial islands, and aquaculture facilities, highlights the need for effective monitoring systems. The development of robust…

Computer Vision and Pattern Recognition · Computer Science 2026-03-20 Robin Spanier , Thorsten Hoeser , Claudia Kuenzer

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

We present a comprehensive global temporal dataset of commercial solar photovoltaic (PV) farms and onshore wind turbines, derived from high-resolution satellite imagery analyzed quarterly from the fourth quarter of 2017 to the second…

Mapping land surface disturbances supports disaster response, resource and ecosystem management, and climate adaptation efforts. Synthetic aperture radar (SAR) is an invaluable tool for disturbance mapping, providing consistent time-series…

Computer Vision and Pattern Recognition · Computer Science 2025-03-19 Harris Hardiman-Mostow , Charles Marshak , Alexander L. Handwerger

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

The Southwestern South Atlantic (SWSA) is a key region for climate research and renewable energy assessment, yet high-resolution meteorological data are scarce. We present a multiresolution dataset spanning February 2017--November 2018,…

Synthetic Aperture Radar (SAR) constitutes a fundamental asset for wide-areas monitoring with high-resolution requirements. The first SAR sensors have given rise to coarse coastal and maritime monitoring applications, including oil spill,…

Image and Video Processing · Electrical Eng. & Systems 2019-10-15 Leonardo De Laurentiis , Andrea Pomente , Fabio Del Frate , Giovanni Schiavon

We present OceanSAR-2, the second generation of our foundation model for SAR-based ocean observation. Building on our earlier release, which pioneered self-supervised learning on Sentinel-1 Wave Mode data, OceanSAR-2 relies on improved SSL…

Spaceborne synthetic aperture radar can provide meters scale images of the ocean surface roughness day or night in nearly all weather conditions. This makes it a unique asset for many geophysical applications. Sentinel 1 SAR wave mode…

Computer Vision and Pattern Recognition · Computer Science 2022-04-12 Nicolae-Catalin Ristea , Andrei Anghel , Mihai Datcu , Bertrand Chapron

Wind speed retrieval at sea surface is of primary importance for scientific and operational applications. Besides weather models, in-situ measurements and remote sensing technologies, especially satellite sensors, provide complementary…

Machine Learning · Computer Science 2022-08-19 Matteo Zambra , Dorian Cazau , Nicolas Farrugia , Alexandre Gensse , Sara Pensieri , Roberto Bozzano , Ronan Fablet

Anomaly detection plays a crucial role in the field of predictive maintenance for wind turbines, yet the comparison of different algorithms poses a difficult task because domain specific public datasets are scarce. Many comparisons of…

Machine Learning · Computer Science 2024-11-26 Christian Gück , Cyriana M. A. Roelofs , Stefan Faulstich

The advancement of multi-channel synthetic aperture radar (SAR) system is considered as an upgraded technology for surveillance activities. SAR sensors onboard provide data for coastal ocean surveillance and a view of the oceanic surface…

Computer Vision and Pattern Recognition · Computer Science 2023-04-25 Surya Prakash Tiwari , Sudhir Kumar Chaturvedi , Subhrangshu Adhikary , Saikat Banerjee , Sourav Basu

Knowledge about frequency and location of snow avalanche activity is essential for forecasting and mapping of snow avalanche hazard. Traditional field monitoring of avalanche activity has limitations, especially when surveying large and…

Image and Video Processing · Electrical Eng. & Systems 2020-11-09 Filippo Maria Bianchi , Jakob Grahn , Markus Eckerstorfer , Eirik Malnes , Hannah Vickers

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

Accurate marine wind forecasts are essential for safe navigation, ship routing, and energy operations, yet they remain challenging because observations over the ocean are sparse, heterogeneous, and temporally variable. We reformulate wind…

Machine Learning · Computer Science 2025-12-04 Matteo Peduto , Qidong Yang , Jonathan Giezendanner , Devis Tuia , Sherrie Wang

This study assesses global offshore wind energy resources, wake-induced losses, array layout optimisation potential and climate change impacts. Global offshore ambient potential is first mapped based on reanalysis data. Wake-induced losses…

Atmospheric and Oceanic Physics · Physics 2025-06-12 Simon C Warder , Matthew D Piggott

Synthetic Aperture Radar (SAR) data enables large-scale surveillance of maritime vessels. However, near-real-time monitoring is currently constrained by the need to downlink all raw data, perform image focusing, and subsequently analyze it…

Computer Vision and Pattern Recognition · Computer Science 2025-08-15 Fabian Kresse , Georgios Pilikos , Mario Azcueta , Nicolas Floury
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