2025 | Excellent | Forestry & Forest Products | Greece | SDG13 | SDG15
Automatic wildfire burn scar monitoring

Organisation Name

Orion Lab

Industry

Forestry, wood, pulp and paper

Organisation Website

https://orion-ai-lab.github.io/

Country

Greece

Sustainable Development Goals (SDGs)

SDG 13: Climate Action

SDG 15: Life on Land

General Description of the AI tool

The current climate crisis induced by the effects of global warming has significantly increased the frequency and intensity of wildfires globally. These events pose significant risks to human and animal lives, disrupt ecosystems and destabilize socio-economic conditions. The proposed AI system monitors wildfire events and produces accurate burn scar mappings in a fully automatic way. This will enable authorities and researchers to assess the scale of the event, identify the impacted assets and prioritize resources effectively for the proper restoration of the damaged region.

Github, open data repository

https://github.com/Orion-AI-Lab/FLOGA

Relevant Research and Publications

M. Sdraka et al., “Machine Learning Algorithm Comparison for Automatic Burnt Area Mapping with High-Resolution Satellite Data”, oral presentation in WE4.R15, IGARSS 2023.

M. Sdraka et al., "FLOGA: A Machine Learning Ready Dataset, A Benchmark and A Novel Deep Learning Model for Burnt Area Mapping with Sentinel-2", in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, doi: 10.1109/JSTARS.2024.3381737.

Needs

Funding

Personnel

Public Exposure

HPC resources and/or Cloud Computing Services

CONTACT

International Research Centre
on Artificial Intelligence (IRCAI)
under the auspices of UNESCO 

Jožef Stefan Institute
Jamova cesta 39
SI-1000 Ljubljana

info@ircai.org
ircai.org

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