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forest-segmentation-2025
simonreise/forest-segmentation-2025
forest-segmentation-2025 is a image segmentation model from simonreise. Use it for the image segmentation task on the model card, and read the license before you ship it in a product.
Paper is published at Remote Sensing Applications: Society and Environment and is available here
Access
Public
Updated Jul 4, 2026
Repo size
2.6 GB
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Repo makeup
Click a slice to open those files.
.ckpt1.3 GB · 100%
At a glance
- Task
- Image Segmentation
- Access
- Public
- Created
- Dec 25, 2025
- Updated
- Jul 4, 2026
- SHA
- 7125fda4
Model card
From the Hugging Face model README
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"
Paper
Paper is published at Remote Sensing Applications: Society and Environment and is available here
Other data
Jupyter notebooks, statistics and model logs are published on GitHub, maps are published on Zenodo
Models description
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.
The checkpoints are created with Remote Sensing Processor library, but can be loaded with Lightning too.
- Task
- Image Segmentation
- Created
- Dec 25, 2025
- Updated
- Jul 4, 2026