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license: mit
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---
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## Info
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- Model file in pytorch format for ultralytics yolov8
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- trained on aerial imagery from West and Northwest Alaska
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- More info: https://essd.copernicus.org/preprints/essd-2023-193/
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## Related Code
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### github
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https://github.com/initze/yolov8_object_detection/
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### Known and potential issues
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- false positives for curved shore areas
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license: mit
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pipeline_tag: object-detection
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tags:
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- yolov8
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- remote sensing
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- aerial imagery
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- beaver
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- object detection
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# This is a yolov8 based object detection model for beaver dams and lodges from aerial imagery
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This is a semi-serious side-project to detect beaver dams and lodges from aerial imagery.
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Beavers are expanding into Arctic regions, which can be even observed indirectly from space.
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With very-high resolution data from UAV or airborne missions, we can try to map dams and lodges directly.
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#### More cool information on beaver expansion into the Arctic:
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* Tape, K. D., Clark, J. A., Jones, B. M., Kantner, S., Gaglioti, B. V., Grosse, G., & Nitze, I. (2022). Expanding beaver pond distribution in Arctic Alaska, 1949 to 2019. Scientific Reports, 12(1), 7123. https://doi.org/10.1038/s41598-022-09330-6
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* Jones, B. M., Tape, K. D., Clark, J. A., Nitze, I., Grosse, G., & Disbrow, J. (2020). Increase in beaver dams controls surface water and thermokarst dynamics in an Arctic tundra region, Baldwin Peninsula, northwestern Alaska. Environmental Research Letters, 15(7), 075005. https://doi.org/10.1088/1748-9326/ab80f1
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* Tape, K. D., Jones, B. M., Arp, C. D., Nitze, I., & Grosse, G. (2018). Tundra be dammed: Beaver colonization of the Arctic. Global Change Biology, 24(10), 4478–4488. https://doi.org/10.1111/gcb.14332
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## Info
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- Model file in pytorch format for ultralytics yolov8
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- trained on aerial imagery from West and Northwest Alaska
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- More info: https://essd.copernicus.org/preprints/essd-2023-193/
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- This model takes RGB aerial images in high spatial resolution, suhc as UAV or airborne imagery. It was trained on images from tundra regions in NW Alaska.
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- Target objects were hand labelled with roboflow --> https://app.roboflow.com/awi-response/beaver-finder-vhr-imagery-a9hg9/
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## Related Code
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### github
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https://github.com/initze/yolov8_object_detection/
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### Known and potential issues
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- false positives for curved shore areas
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## Classes
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1: beaver dam
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2: beaver lodge
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3: building (not great)
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## Input data
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## Examples
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### The good ones
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### The bad ones
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