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Name: Canopy Tree Height maps for the Amazon Forest (mean height composite 2020-2024) by CTrees.org
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Description: |
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Mean canopy Tree Height for the Amazon Forest on the period 2020-2024 at 4.78 m of spatial resolution. Created using a deep learning model on high-resolution Planet imagery from the Norway's International Climate and Forest Initiative (NICFI) Satellite Data Program.
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Documentation: "[Project overview](https://ctrees.org/products/tree-level)"
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ManagedBy: "[CTrees](https://ctrees.org/)"
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UpdateFrequency: TBD
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Tags:
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- aws-pds
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- cog
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- earth observation
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- land cover
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- deep learning
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- lidar
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- satellite imagery
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- image processing
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- environmental
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- conservation
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- geospatial
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License: |
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https://creativecommons.org/licenses/by/4.0/
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Citation: CTrees.org - 2025. Canopy Tree Height of the Amazon Forest. Accessed DAY MONTH YEAR.
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Resources:
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- Description: Cloud-optimized GeoTIFF files with names corresponding to the tiling system of the Norway's International Climate and Forest Initiative (NICFI) Satellite Data Program.
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ARN: arn:aws:s3:::ctrees-amazon-canopy-height
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Region: us-west-2
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Type: S3 Bucket
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Explore:
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- "[Browse CTrees Bucket](https://ctrees-amazon-canopy-height.s3.us-west-2.amazonaws.com/index.html)"
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DataAtWork:
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Tutorials:
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Tools & Applications:
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Publications:
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- Title: "Is this the largest tree in the Amazon? A Q&A with CTrees scientist Fabien Wagner"
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URL: https://ctrees.org/news/largest-tree-amazon-with-fabien-wagner-63
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AuthorName: Rachel Kovinsky
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- Title: "High Resolution Tree Height Mapping of the Amazon Forest using Planet NICFI Images and LiDAR-Informed U-Net Model"
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URL: https://doi.org/10.48550/arXiv.2501.10600
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AuthorName: Fabien H Wagner, Ricardo Dalagnol, Griffin Carter, Mayumi CM Hirye, Shivraj Gill, Le Bienfaiteur Sagang Takougoum, Samuel Favrichon, Michael Keller, Jean PHB Ometto, Lorena Alves, Cynthia Creze, Stephanie P George-Chacon, Shuang Li, Zhihua Liu, Adugna Mullissa, Yan Yang, Erone G Santos, Sarah R Worden, Martin Brandt, Philippe Ciais, Stephen C Hagen, Sassan Saatchi

datasets/ctrees-california-vhr-tree-height.yaml

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Name: Sub-Meter Canopy Tree Height of California in 2020 by CTrees.org
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Description: |
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Canopy Tree Height maps for California in 2020. Created using a deep learning model on very-high-resolution airborne imagery from the National Agriculture Imagery Program (NAIP) by United States Department of Agriculture (USDA).
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Canopy Tree Height maps for California in 2020. Created using a deep learning model on very-high-resolution airborne imagery from the National Agriculture Imagery Program (NAIP) by United States Department of Agriculture (USDA).
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Documentation: "[Project overview](https://ctrees.org/products/tree-level)"
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ManagedBy: "[CTrees](https://ctrees.org/)"
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- geospatial
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License: |
2020
https://creativecommons.org/licenses/by/4.0/
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Citation:
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CTrees.org - 2024. Sub-Meter Canopy Tree Height of California. Accessed DAY MONTH YEAR.
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Citation: CTrees.org - 2024. Sub-Meter Canopy Tree Height of California. Accessed DAY MONTH YEAR.
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Resources:
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- Description: Cloud-optimized GeoTIFF files with names corresponding to image of California for the year 2020 from the National Agriculture Imagery Program (NAIP) - United States Department of Agriculture (USDA) [NAIP](s3://naip-analytic/).
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ARN: arn:aws:s3:::ctrees-tree-height-ca-2020/
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Region: us-west-2
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Type: S3 Bucket
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Explore:
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- "[Browse CTrees Bucket](https://ctrees-tree-height-ca-2020.s3.us-west-2.amazonaws.com/index.html)"
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DataAtWork:
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Tutorials:
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Tools & Applications:
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- Title: Sub-Meter Tree Height Mapping of California using Aerial Images and LiDAR-Informed U-Net Model
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URL: https://doi.org/10.1016/j.rse.2024.114099
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AuthorName: Fabien H Wagner, Sophia Roberts, Alison L Ritz, Griffin Carter, Ricardo Dalagnol, Samuel Favrichon, Mayumi CM Hirye, Martin Brandt, Philippe Ciais and Sassan Saatchi
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