Neural network can read tree heights from satellite images

Using an artificial neural network, researchers at ETH Zurich have created the first high-resolution global vegetation height map for 2020 from satellite images. This map could provide key information for fighting climate change and species extinction, as well as for sustainable regional development planning.  

Global map with areas in different colours (black, purple, red, orange, yellow)
Researchers at ETH Zurich have developed a world map that for the first time uses machine learning to derive vegetation heights from satellite images in high resolution. (Image: EcoVision Lab)
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