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Multi-temporal “dark vessel” detection with Sentinel 1 and AIS data

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Grigoris Fasoulas
Friday, 28 February 2025 / Published in Blog
The automatic detection of dark vessels (i.e. vessels that do not report their position to the Automatic Identification System (AIS)) from satellite imagery is particularly challenging in terms of technical capabilities, availability of satellite imagery, satellite revisit time and data availability. In addition, the correct identification of a specific suspicious vessel in a satellite image

Material, not waste!

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Grigoris Fasoulas
Sunday, 02 February 2025 / Published in Blog
Sociological insights from the development of a platform Platform development is not only a technical task. It first starts with a definition of the objectives, goals and outcomes. This is the first point to pass in a complex project with experts and non-experts from different academic and non-academic backgrounds. Thus, different interests come together and

Environmental Enforcement as a Matter of Policy

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Grigoris Fasoulas
Friday, 03 January 2025 / Published in Blog
Development of an analytical scheme Policy recommendations play a key role in the context of environmental crime. They function as a ‘first step’ into the development of a supporting system for law enforcement agencies (LEAs). There is a long history of environment policy leading back to the 1970s. Environment issues are on the political agenda

Equipping Authorities with the Tools to Combat Environmental Crime

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Grigoris Fasoulas
Monday, 11 November 2024 / Published in Blog
In our time, organized environmental crime poses a significant challenge on an international level. Recognizing the urgency, the European Multidisciplinary Platform Against Criminal Threats (EMPACT1) has identified environmental crime is a key priority for 2022-2025. Organized environmental crime is characterized by its complexity, its interconnection with other types of crime, and a growing tendency by

A New Era of Environmental Monitoring: First wide scale application of AI_SAT_LAND model

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Grigoris Fasoulas
Tuesday, 29 October 2024 / Published in Blog
One of the objectives of the PERIVALLON project is to develop AI-based geospatial intelligence solutions applied to earth observation imagery captured by satellites, in order to detect activities potentially related to environmental crimes, particularly those related to illicit waste management. In this framework, one of the main requirements for a regional authority like ARPA Lombardia,

Web Scraping and AI: New Frontiers in Fighting Environmental Crime

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Grigoris Fasoulas
Wednesday, 25 September 2024 / Published in Blog
Crime detection usually refers to the discovery of a crime, which may include identifying suspects and collecting intelligence and evidence, all dependent on the law and legal requirements of a country. Its key ingredient, however, is in determining whether the alleged crime is indeed committed once discovered.[1] Acquiring relevant information, therefore, is critical to establish

Revolutionizing Environmental Monitoring through Reactive Architecture

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Grigoris Fasoulas
Wednesday, 21 August 2024 / Published in Blog
In our rapidly changing world, keeping an eye on the environment is more critical than ever. Illegal logging, wildlife poaching, and pollution are just a few threats we face. To combat these challenges, the PERIVALLON platform offers a comprehensive solution using the latest technologies. We’re excited to share how our platform employs state-of-the-art reactive architecture

PERIVALLON’s Pilot Use Cases in action

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Grigoris Fasoulas
Wednesday, 31 July 2024 / Published in Blog
Understanding environmental crimes and their prevalence Environmental crimes pose a significant global challenge, affecting ecosystems and human health. These crimes encompass different activities such as illegal trafficking of waste or illegal dumping of waste in land and water. Moreover, these crimes are often orchestrated by organized criminal networks, that exploit regulatory complexities and enforcement disparities,

Enhancing Maritime Safety with Advanced Event Detection and Route Prediction

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Grigoris Fasoulas
Saturday, 29 June 2024 / Published in Blog
The Maritime industry is the backbone of global trade, with millions of vessels traversing the world’s oceans each year. Ensuring the safety and security of these vessels is of significant importance. With the advent of big data and advanced analytics, we are now able to monitor and predict maritime events in real-time, enhancing the safety

Using AI to detect banned substances in X-Ray cargo scans

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Grigoris Fasoulas
Friday, 31 May 2024 / Published in Blog
Ozone-depleting substances and hydrofluorocarbons contraband detection within X-ray cargo images using AI The illegal trade of ozone-depleting substances (ODS) and hydrofluorocarbons (HFCs) is a serious environmental concern. Despite regulations, recent seizures across Europe highlight a growing problem[1]. The successful interception of these products underscores the importance of vigilant monitoring and coordination among authorities in combating
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Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Executive Agency (REA). Neither the European Union nor the granting authority can be held responsible for them.

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