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Browse files- README.md +15 -0
- segformer_age.ckpt +3 -0
- segformer_productivity.ckpt +3 -0
- segformer_species.ckpt +3 -0
- segformer_stock.ckpt +3 -0
- segformer_type.ckpt +3 -0
README.md
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# Models for "_Characterizing long-term boreal forest ecosystems dynamics in Khanty-Mansi Autonomous Okrug (West Siberia) using time series remote sensing data and deep learning methods_"
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## Paper
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Paper is published at Forest Ecology and Management and is available at (link here)
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## Other data
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Jupyter notebooks, statistics and model logs are published on GitHub (link here), maps are published on Zenodo (link here)
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## Models description
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This repository contains SegFormer model checkpoints of 5 models that model dominant tree species, forest productivity class, forest type, age and growing stock in boreal forests of West Siberia.
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The checkpoints are created with Remote Sensing Processor library, but can be loaded with Lightning too.
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segformer_age.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:2f46ed0d1ac96125107755e4c701cd5bf83ff321099e58f2460a86e90f396ed5
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size 263608133
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segformer_productivity.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:3cde6738ac4b03ca049d58c326c2f339fa26e990184a1d723e90573abff263eb
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size 263668917
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segformer_species.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:3c4bd1b4459c79ddb5b69a2d3c5471fecd5765b15deeb755b8b038b8510e0cf4
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size 263680936
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segformer_stock.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:f22744ce50cd93308ccf38e9be7735e8cbf0e0bb97d9caa2adbf161f00c73c19
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size 263608133
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segformer_type.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:16d34e6b741c86bbf7fa31191c9a95688cfd686307e676a46155e45594892f5d
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size 263671989
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