Google DeepMind has unveiled a new technical development aimed at mapping the world’s forest ecosystems. The project categorizes land globally into distinct forest types at a 10-meter resolution, providing a granular view of terrestrial coverage.
By utilizing high-resolution data to identify specific forest compositions, the initiative seeks to move beyond traditional, less detailed methods of monitoring tree cover. This approach allows for a more precise classification of diverse forest environments across the globe.
The announcement emphasizes the role of advanced data processing in environmental monitoring, highlighting the capability to classify land on a global scale. As the project progresses, such tools may assist researchers and environmental stakeholders in understanding the distribution and health of various forest types.
Source: Google DeepMind
Original article: https://deepmind.google/blog/beyond-tree-cover-mapping-the-worlds-forest-types/
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