1 posts
Finding all of the trees in the world with machine learning

Descartes Labs used machine learning to identify all of the trees in the world where at least one-meter resolution satellite imagery is available. Tim Wallace with the maps: The ability to map tree canopy at a such a high resolution in areas that can’t be easily reached on foot would be helpful for utility companies to pinpoint encroachment issues—or for municipalities to find possible trouble spots beyond their official tree...

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Mapping perceived canopy tree cover in major cities

Treepedia, from the MIT Senseable City Lab, estimates perceived tree cover at the street level. They used panorama views from Google Street View to form a “Green View Index”, which they then mapped for major cities. Treepedia measures the canopy cover in cities. Rather than count the individual number of trees, we’ve developed a scaleable and universally applicable method by analyzing the amount of green perceived while walking down the...

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Way more trees than previously thought, new estimates show

x There are a lot of trees on this planet. But how many trees there actually are is still kind of fuzzy, because the estimates are based on satellite imagery. It's hard to gauge density. Research by T. W. Crowther et al., recently published in Nature, used on-the-ground sampling to estimate more accurately. The global extent and distribution of forest trees is central to our understanding of the terrestrial...

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