What is it about?
The bark beetle is a major threat to coniferous forests across Europe. Our study focuses on using remote sensing and machine learning to map forest dieback caused by these beetles. We also use an eXplainable Artificial Intelligence technique to explain the effect of temporal knowledge on the Random Forest inventory decisions.
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Photo by Irina Iriser on Unsplash
Why is it important?
Management decisions taken now for bark beetles-infested areas will have a long-term effect on European forests, shaping future European landscapes. Management decisions can be supported by a combination of remote sensing and artificial intelligence techniques.
Perspectives
This work is the current result of a EU-funded research project and we report what could be done with remote sensing when we have collected enough ground truth. Better refinements of this work are possible, but only if combined with terrestrial monitoring, in order to collect fresh ground truth data.
Prof. Donato Malerba
Universita degli Studi di Bari Aldo Moro
Read the Original
This page is a summary of: Leveraging Sentinel-2 time series for bark beetle-induced forest dieback inventory, April 2024, ACM (Association for Computing Machinery),
DOI: 10.1145/3605098.3635908.
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