Google DeepMind has described a global map that categorizes every 10-meter patch of land on Earth into distinct forest types. According to the item, the effort goes beyond conventional tree-cover mapping by distinguishing between different categories of forest rather than simply indicating where trees are present.
Why it matters
Classifying forests into types at a fine 10-meter resolution offers a more detailed view of land than a binary measure of tree presence, which could support closer analysis of the world’s forested areas.
Who should care
Those working with global land and forest data may find value in a mapping approach that differentiates forest types at high resolution across the entire planet.