Publication Details |
| Category | Text Publication |
| Reference Category | Journals |
| DOI | 10.21105/joss.08056 |
Licence  |
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| Title (Primary) | DeepTrees: Tree crown segmentation and analysis in remote sensing imagery with PyTorch |
| Author | Khan, T.
; Arnold, C.; Grover, H. |
| Source Titel | Journal of Open Source Software |
| Year | 2025 |
| Department | BZF |
| Volume | 10 |
| Issue | 114 |
| Page From | art. 8056 |
| Language | englisch |
| Topic | T5 Future Landscapes |
| Data and Software links | https://doi.org/10.5281/zenodo.17371394 |
| Keywords | Deep Learning; Remote Sensing; Geospatial; Vegetation Ecology |
| Abstract | DeepTrees is a Python package for tree crown segmentation and analysis in remote sensing imagery. It uses PyTorch for training and predicting on large-scale datasets. Designed for direct integration with geospatial workflows, DeepTrees provides data loaders, transforms, and utility functions, enabling efficient experimentation in tree crown segmentation and tree traits analysis. |
| Persistent UFZ Identifier | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=31576 |
| Khan, T., Arnold, C., Grover, H. (2025): DeepTrees: Tree crown segmentation and analysis in remote sensing imagery with PyTorch Journal of Open Source Software 10 (114), art. 8056 10.21105/joss.08056 |
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