Nonprofit organization tracking carbon in every tree and forest on the planet.

Pasadena, CA
Joined September 2022
NEW research published in @NatureClimate found that secondary forests with between 20-40 years of regrowth have up to 8x the carbon removal potential of new and mature forests per hectare. @CTrees_org ctrees.org/news/carbon-remov…
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🌿3-yr time-lapse of one of the Mother of Mothers trees of the Amazon rainforest 🌳🍃 likely one of the largest trees in the Amazon, with an astonishing crown diameter > 60 m and height > 50 m ! made with @NICFISatData 🛰️images. @CTrees_org #AmazonForest #TreeGiant #NatureWonder
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A new tool from Climate TRACE coalition members @CTrees_org allows you to track tropical forest degradation from roads, fires, and more tree cover loss using #satellite imagery and AI. Check out REDD+AI:
Check out our new REDD+AI platform ctrees.org/reddai that shows tropical forest degradation—from logging, fire, and roads—and tree cover loss in evergreen forests with unprecedented detail. This is v1, so be kind :) v2 coming soon @CTrees_org @RicardoDalagnol @NICFISatData
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Check out our new REDD+AI platform ctrees.org/reddai that shows tropical forest degradation—from logging, fire, and roads—and tree cover loss in evergreen forests with unprecedented detail. This is v1, so be kind :) v2 coming soon @CTrees_org @RicardoDalagnol @NICFISatData
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📢🛰️🌳Forest degradation & tree cover loss in the tropics can now be seen w/ high resolution & attributions based on #ArtificialIntelligence and Planet @NICFISatData 5m satellite data 🪵🔥🛣️Available for viz at REDD+AI platform: ctrees.org/reddai @CTrees_org @FabienWagner
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Today I gave an online talk at #GISFOREST event in Brazil on my research & @CTrees_org forest monitoring systems that track selective #logging & #roads #CTrees technology & data help monitor forest management & illegal activities to enhance conservation & sustainable development
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Just discovered the most massive tree I've ever seen in the Amazon rainforest via satellite image—over 50 meters in crown diameter and more than 50 meters in height! 🛰🌳@CTrees_org @RicardoDalagnol
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Visited INPE this week and presented some updates on the research I lead at @CTrees_org. Top level discussions on forest degradation and applied AI for earth observation. Thanks @aragao_luiz @TREES_Research @dsrinpe for the invite ! :)
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In 2020, 4 billion tons of live #carbon were stored in Gabon’s forests, according to new research from @CTrees_org. Learn more about their findings from measuring the live carbon density of every hectare of forest in Gabon. ctrees.org/news/gabon-carbon…
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📢🛰️New paper from Le Bien brings the most accurate #Carbon map of #Gabon to date based on #GEDI & #MachineLearning, verified using #ALS & National Plot Inventory, and shows its variability in the landscape and in forest management doi.org/10.1088/1748-9326/ad… @UCLAIoES @CTrees_org
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📢🌲Sharing our new paper led by Griffin Carter @gc_sci : "Detection of forest disturbance across California using deep-learning on PlanetScope imagery" 🔍Creek Fire in 2020 w/ CALFIRE map (red) and our 3x3 m detection (yellow) 📎 doi.org/10.3389/frsen.2024.1… @UCLAIoES @CTrees_org
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We mapped a half billion individual farmland trees in India, and tracked their fate over a decade. Many large trees have disappeared. The paper in Nature Sus.: doi.org/10.1038/s41893-024-0…, Viewer: rs-cph.projects.earthengine.…. It's a new framework for temporal monitoring of single trees..
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🌿 Join our 13th EEBIOMASS #workshop on “High-resolution satellite imagery & #MachineLearning for #forest monitoring” on MAR 28, 14:30 - 16:30 CET. 👥 Meet our speakers: Martin Brandt, Eric Gorgens, Robson Lima, Ricardo Dalagnol 📢 Register here: survey.academiccloud.de/inde…
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📢🌳New paper led by @FabienWagner in RSE on tree's height mapping over California with #DeepLearning I really like Fig 7 : it clearly shows how the model predicts height based on optical imagery very close to LiDAR even on STEEP terrain - crazy! 😮 doi.org/10.1016/j.rse.2024.1…
RELEASE: CTrees scientists led by @FabienWagner have mapped the height of all trees in California by applying a deep learning model to very high resolution aerial imagery. The result is the most accurate map of the state's canopy height to date 🌐🌲ctrees.org/news/california-t…
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Our new published research on the Amazon’s 2023 Drought highlights our method for near real-time large scale mapping of water surfaces every 12 days using Deep Learning and Sentinel-1 SAR. mdpi.com/2716430 #amazonforest #drought @CTrees_org
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🛰️🌳🪵🔥Number of land use alerts in the Brazilian #Amazon in 2023 dropped to pre-2019 lvls. Still a lot of work to do for #ZeroDeforestation - letsgo! 📎 Data #LUCA @ bit.ly/ctrees-luca -@CTrees_org PS: This feature to input your own GeoJSON ("new age shapefile") rocks.🚀
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🌍 Amazon's historic 2023 drought: Rio Negro River, one on the largest river of the Amazon, hits century-low by Oct/Nov😱Sentinel-1 SAR data & AI 🤖 reveal water surface decrease to 9,559.9 km², 68.1% of max. surface observed in 2022-23 🛰️🤖💧@CTrees_org arxiv.org/abs/2401.16393
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#GreenhouseGas emissions from tropical forest loss increased by 5% in 2022 from the year before, while temperate forests bolstered their carbon-absorbing capacity, according to @CTrees_org Read the full news 👇 buff.ly/3v8hJxj Via @MongabayOrg
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