Lmst

#visontransformers

Using Artificial Intelligence To Map The Earth’s Forests
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https://sustainability.fb.com/blog/2024/04/22/using-artificial-intelligence-to-map-the-earths-forests/ <-- shared technical article
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https://doi.org/10.1016/j.rse.2023.113888 <-- shared paper
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#GIS #spatial #mapping #AI #forestmonitoring #maps #climatechange #forests #forestmanagement #global #spatialanalysis #spatiotemporal #NVDI #canopy #canopyheight #SelfSupervisedLearning #SSL #visontransformers #GEDI #LiDAR #remotesensing #earthobservation #model #modeling #meta #WorldResourcesInstitute #LandAndCarbonLab

A map of the world’s canopy height obtained from AI models analyzing high resolution satellite imagery. All canopy height data and artificial intelligence models are free and publicly available for commercial use.

A map of the Central and northern South America's canopy height obtained from AI models analyzing high resolution satellite imagery. All canopy height data and artificial intelligence models are free and publicly available for commercial use.

maps - Examples of the canopy height maps on four different continents. The left panel shows the satellite image..., the middle panel shows the predicted canopy height, and a red dot in the right panel indicates the location where the analysis was done. The model generalizes well globally across different ecosystems

graphical abstract - Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on aerial lidar

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Version: 2025.07

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