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Related papers: Satellite Monitoring of Terrestrial Plastic Waste

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This communication describes a preliminary research on detection of big masses of plastic (marine litter) on the oceans and seas using EO (Earth Observation) satellite systems. Free images from the Sentinel 2 (Copernicus Project) platform…

Image and Video Processing · Electrical Eng. & Systems 2021-03-18 Fernando Martin-Rodriguez

One of the biggest environmental problems of our time is the increase in illegal landfills in forests, rivers, on river banks and other secluded places. In addition, waste in rivers causes damage not only locally, but also downstream, both…

Computer Vision and Pattern Recognition · Computer Science 2023-03-28 Dávid Magyar , Máté Cserép , Zoltán Vincellér , Attila D. Molnár

Detecting and quantifying marine pollution and macro-plastics is an increasingly pressing ecological issue that directly impacts ecology and human health. Efforts to quantify marine pollution are often conducted with sparse and expensive…

Computer Vision and Pattern Recognition · Computer Science 2023-07-06 Marc Rußwurm , Sushen Jilla Venkatesa , Devis Tuia

Marine litter poses significant threats to marine and coastal environments, with its impacts ever-growing. Remote sensing provides an advantageous supplement to traditional mitigation techniques, such as local cleaning operations and trawl…

Computer Vision and Pattern Recognition · Computer Science 2023-06-28 Bianca Matos de Barros , Douglas Galimberti Barbosa , Cristiano Lima Hackmann

The increasing level of marine plastic pollution poses severe threats to the marine ecosystem and biodiversity. The present study attempted to explore the full functionality of open Sentinel satellite data and ML models for detecting and…

Computer Vision and Pattern Recognition · Computer Science 2021-06-09 Srikanta Sannigrahi , Bidroha Basu , Arunima Sarkar Basu , Francesco Pilla

Plastic waste entering the riverine harms local ecosystems leading to negative ecological and economic impacts. Large parcels of plastic waste are transported from inland to oceans leading to a global scale problem of floating debris…

Computer Vision and Pattern Recognition · Computer Science 2023-07-25 Nathaniel Hanson , Ahmet Demirkaya , Deniz Erdoğmuş , Aron Stubbins , Taşkın Padır , Tales Imbiriba

Plastic pollution is a critical environmental issue, and detecting and monitoring plastic litter is crucial to mitigate its impact. This paper presents the methodology of mapping street-level litter, focusing primarily on plastic waste and…

Computer Vision and Pattern Recognition · Computer Science 2024-01-29 Sriram Reddy Mandhati , N. Lakmal Deshapriya , Chatura Lavanga Mendis , Kavinda Gunasekara , Frank Yrle , Angsana Chaksan , Sujit Sanjeev

Waste pollution is one of the most significant environmental issues in the modern world. The importance of recycling is well known, either for economic or ecological reasons, and the industry demands high efficiency. Our team conducted…

Computer Vision and Pattern Recognition · Computer Science 2023-07-21 Sylwia Majchrowska , Agnieszka Mikołajczyk , Maria Ferlin , Zuzanna Klawikowska , Marta A. Plantykow , Arkadiusz Kwasigroch , Karol Majek

Accurate quantification of the physical exposure area of beach litter, rather than simple item counts, is essential for credible ecological risk assessment of marine debris. However, automated UAV-based monitoring predominantly relies on…

Computer Vision and Pattern Recognition · Computer Science 2026-04-24 Yongying Liu , Jiaqi Wang , Jian Song , Xinlei Shao , Yijia Chen , Nan Xu , Katsunori Mizuno , Shigeru Tabeta , Fan Zhao

Plastic waste in aquatic environments poses severe risks to marine life and human health. Autonomous robots can be utilized to collect floating waste, but they require accurate object identification capability. While deep learning has been…

Computer Vision and Pattern Recognition · Computer Science 2024-09-20 Luis Felipe Wolf Batista , Salim Khazem , Mehran Adibi , Seth Hutchinson , Cedric Pradalier

Combining multi-spectral satellite data and machine learning has been suggested as a method for monitoring plastic pollutants in the ocean environment. Recent studies have made theoretical progress regarding the identification of marine…

Image and Video Processing · Electrical Eng. & Systems 2023-05-03 Henry Booth , Wanli Ma , Oktay Karakus

Satellite remote sensing has been reported to be a promising approach for the monitoring of atmospheric PM2.5. However, the satellite-based monitoring of ground-level PM2.5 is still challenging. First, the previously used polar-orbiting…

Atmospheric and Oceanic Physics · Physics 2018-05-30 Tongwen Li , Chengyue Zhang , Huanfeng Shen , Qiangqiang Yuan , Liangpei Zhang

Whenever a person hears about pollution, more often than not, the first thought that comes to their mind is air pollution. One of the most under-mentioned and under-discussed pollution globally is that caused by the non-biodegradable waste…

Open burning of plastic waste may pose a significant threat to global health by degrading air quality, but quantitative research on this problem -- crucial for policy making -- has been stunted by lack of data. Many low- and middle-income…

Applications · Statistics 2026-05-22 Ellen M. Considine , Rachel C. Nethery

The detection and characterization of illegal solid waste disposal sites are essential for environmental protection, particularly for mitigating pollution and health hazards. Improperly managed landfills contaminate soil and groundwater via…

Computer Vision and Pattern Recognition · Computer Science 2024-12-16 Piero Fraternali , Luca Morandini , Sergio Luis Herrera González

Plastic waste is filling our oceans at an exponential rate. The situation is catastrophic and has now garnered worldwide attention. Despite the catastrophic conditions, little to no robotics research is conducted in the identification,…

Robotics · Computer Science 2018-09-05 Juan Rojas

Air pollution poses a significant threat to public health and well-being, particularly in urban areas. This study introduces a series of machine-learning models that integrate data from the Sentinel-5P satellite, meteorological conditions,…

Machine Learning · Computer Science 2024-05-31 Giacomo Blanco , Luca Barco , Lorenzo Innocenti , Claudio Rossi

Air quality has major impact on a country's socio-economic position and identifying major air pollution sources is at the heart of tackling the issue. Spatially and temporally distributed air quality data acquisition across a country as…

Machine Learning · Computer Science 2021-01-19 Sivaramakrishnan KN , Lipika Deka , Manik Gupta

Massive amounts of satellite data have been gathered over time, holding the potential to unveil a spatiotemporal chronicle of the surface of Earth. These data allow scientists to investigate various important issues, such as land use…

Computer Vision and Pattern Recognition · Computer Science 2019-12-12 Stefan Oehmcke , Christoffer Thrysøe , Andreas Borgstad , Marcos Antonio Vaz Salles , Martin Brandt , Fabian Gieseke

Public health and habitat quality are crucial goals of urban planning. In recent years, the severe social and environmental impact of illegal waste dumping sites has made them one of the most serious problems faced by cities in the Global…

Machine Learning · Computer Science 2021-10-29 Maria Roberta Devesa , Antonio Vazquez Brust
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