Extending deep learning approaches for forest disturbance segmentation on very high‐resolution satellite images

Research article (Remote Sensing in Ecology and Conservation, 2021) · cited 78× · AI/ML
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Extending deep learning approaches for forest disturbance segmentation on very high‐resolution satellite images

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Extending deep learning approaches for forest disturbance segmentation on very high‐resolution satellite images is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Extending deep learning approaches for forest disturbance segmentation on very high‐resolution satellite images. Retrieved May 24, 2026, from https://4ort.xyz/entity/extending-deep-learning-approaches-for-forest-disturbance-segmentation-on-very-highresolution-satellite-images
MLA “Extending deep learning approaches for forest disturbance segmentation on very high‐resolution satellite images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/extending-deep-learning-approaches-for-forest-disturbance-segmentation-on-very-highresolution-satellite-images.
BibTeX @misc{4ortxyz_extending-deep-learning-approaches-for-forest-disturbance-segmentation-on-very-highresolution-satellite-images_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Extending deep learning approaches for forest disturbance segmentation on very high‐resolution satellite images}}, year = {2026}, url = {https://4ort.xyz/entity/extending-deep-learning-approaches-for-forest-disturbance-segmentation-on-very-highresolution-satellite-images}, note = {Accessed: 2026-05-24}}
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