Details zur Publikation |
| Kategorie | Textpublikation |
| Referenztyp | Zeitschriften |
| DOI | 10.21105/joss.08056 |
Lizenz  |
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| Titel (primär) | DeepTrees: Tree crown segmentation and analysis in remote sensing imagery with PyTorch |
| Autor | Khan, T.
; Arnold, C.; Grover, H. |
| Quelle | Journal of Open Source Software |
| Erscheinungsjahr | 2025 |
| Department | BZF |
| Band/Volume | 10 |
| Heft | 114 |
| Seite von | art. 8056 |
| Sprache | englisch |
| Topic | T5 Future Landscapes |
| Daten-/Softwarelinks | 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. |
| dauerhafte UFZ-Verlinkung | 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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