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--- |
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metrics: |
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- accuracy |
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- f1 |
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pipeline_tag: image-segmentation |
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tags: |
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- geospatial |
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- forest |
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- species |
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- productivity |
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- age |
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--- |
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# Models for "_Characterizing long-term boreal forest ecosystems dynamics in Khanty-Mansi Autonomous Okrug (Western Siberia) using time series remote sensing data and deep learning methods_" |
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## Paper |
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Paper is published at ISPRS Journal of Photogrammetry and Remote Sensing 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](https://github.com/simonreise/forest-segmentation-2025), maps are published on [Zenodo](https://doi.org/10.5281/zenodo.18054578) |
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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. |
