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README.md
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Manual crown delineation of individual trees in
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Dataset download link: https://sid.erda.dk/sharelink/eFt21tspNe
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Dataset description
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---------- Denmark data
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More than 20k individual trees growing in different landscapes.
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Image credits: Danish Agency for Data Supply and Infrastructure (https://sdfi.dk/)
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---------- Finland data
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More than 4k individual tree crowns in random sampling regions
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Tasks
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Segmentation of individual tree crowns
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Transfer learning/domain adaptation between datasets with different visual semantics, band compositions, forest species, etc.
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# Manual crown delineation of individual trees in 2 countries: Denmark and Finland
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Dataset download link: https://sid.erda.dk/sharelink/eFt21tspNe
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## Dataset description
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---------- **Denmark data**---------- :
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More than 20k individual trees growing in different landscapes.
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Image credits: Danish Agency for Data Supply and Infrastructure (https://sdfi.dk/)
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---------- **Finland data**---------:
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More than 4k individual tree crowns in random sampling regions
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## Tasks
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* Segmentation of individual tree crowns
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* Transfer learning/domain adaptation between datasets with different visual semantics, band compositions, forest species, etc.
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## Citation
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```
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@article{li2023deep,
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title={Deep learning enables image-based tree counting, crown segmentation, and height prediction at national scale},
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SHORTauthor={Li, Sizhuo and Brandt, Martin and Fensholt, Rasmus and Kariryaa, Ankit and Igel, Christian and Gieseke, Fabian and Nord-Larsen, Thomas and Oehmcke, Stefan and Carlsen, Ask Holm and Junttila, Samuli and others},
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author={Li, Sizhuo and Brandt, Martin and Fensholt, Rasmus and Kariryaa, Ankit and Igel, Christian and Gieseke, Fabian and Nord-Larsen, Thomas and Oehmcke, Stefan and Carlsen, Ask Holm and Junttila, Samuli and Xiaoye Tong and Alexandre d’Aspremont and Philippe Ciais},
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journal={PNAS nexus},
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volume={2},
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number={4},
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year={2023},
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publisher={Oxford University Press}
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}
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