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Tag: wildfires

INDUSTRIALIZATION OF AI METHODS FOR DECISION INTELLIGENCE IN CLIMATE AND SECURITY APPLICATIONS (Fire-Aid)

Prime company: OroraTech GmbH (DE)

The project is part of the programme element concerning the industrialization of AI Methods for Decision Intelligence in Climate and Security Applications, the project has the aim to develop capabilities to enhance fire incident response and evaluation with applications concerning decision making of industrial and public operators. It is based on Artificial Intelligence using multi-modal …

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NEW SENTINEL MISSIONS FOR OPTIMIZED WILDFIRE HAZARD, FORESTRY AND AGRICULTURE MONITORING (SENWISE)

Prime company: SPACEBEL SA (BE)

The objective of SENWISE is to develop high-resolution geoinformation tools to advance our understanding of land-atmosphere-human interactions and provide decision-relevant data for facilitating agriculture and forest management practices in Belgium, France, and Italy. This project will help better understand and investigate the synergies between the Copernicus Expansions missions  ROSE-L, LSTM and CHIME for Land applications. …

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Scientists

Announcing the release of the FLARE White Paper on Fire Science

As fire events become more intense and frequent, the urgency for effective and proactive fire science grows. The FLARE (Fire science Learning AcRoss the Earth System) Working Group, consisting of scientists from 14 countries and various disciplines, has produced a white paper to address the complexities of fire science from a holistic perspective. This paper …

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Users

Canada’s wildfire season begins

ESA’s World Fire Atlas, an essential tool in wildfire monitoring, keeps detecting and mapping active fires globally since 2019 thanks to the SLSTR sensor aboard Sentinel-3. The tool already counted 258 fires in Canada in 2024 up to 13 May. At the same time, the extent of air pollution caused by these wildfires are highlighted …

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BURNING QUESTIONS ON CARBON EMISSIONS FROM FIRES (BURNQUEST)

Prime company: Netherlands Institute for Space Research (NWO-I) (NL)

Landscape fires, whether natural or human-induced, have a key impact on the Earth system via the release of pollutants, greenhouse gases and aerosols, affecting human health and climate. Over the next decades their role may increase related to drier and warmer conditions, exacerbating biome shifts and lowering biodiversity. In addition, this may provide one of …

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SeasFire: Earth System Deep learning for Seasonal Fire Forecasting in Europe 

Prime company: NATIONAL OBSERVATORY OF ATHENS (GR)

The SeasFire project, funded by the ESA, is taking an innovative approach to predicting seasonal wildfire patterns in Europe. SeasFire uses cutting-edge technology, such as modern deep learning models and Earth Observation data, to explore the spatio-temporal connections between atmospheric conditions and fire regimes to gain valuable insights into predicting potential wildfires. The project aligns …

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Joan Llort

“I want to express my gratitude to the LFP programme and my managers in particular. The kind support I have received during these 24 months has been fundamental to the success of PYROPLANKTON in a particularly complex period at home regarding the work-family balance. I also strongly appreciate the programme’s genuine interest in supporting fundamental …

Impacts of PYROgenic aerosols on PLANKTON ecosystems (PYROPLANKTON)

Prime company: Barcelona Supercomputing Centre (BSC) (ES)

Living Planet Fellowship research project carried out by Joan Llort. In recent years, exceptionally large wildfires have been recorded in Australia, California, the Mediterranean region, and the Arctic. While there exists an established research effort on how Climate Change is leading these megafires and on how they are affecting land ecosystems, recent observations show that wildfires can …

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ADVANCED AI4EO FOR WILDFIRE MONITORING

Prime company: CGI IT UK LIMITED (GB)

The Artificial Intelligence for Earth Observation (AI4EO) Wildfires project began in December 2020 and run for 8 months, focussing on developing and demonstrating a burned area (BA) mapping service that combines EO data, specifically Sentinel-2 optical data, with an AI-enabled algorithm. The project consortium is led by CGI UK, utilising their legacy of developing cloud-based …

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