Attribution
Development and Support
Habitat-Mapper was developed by the Hakai Institute, a marine research organization based in British Columbia, Canada. The Hakai Institute led the development of this software package and contributed the majority of machine learning training data used to build the kelp detection and mussel and gooseneck barnacle detection models.
Have questions or feedback?
Send us an email or file a GitHub issue.
Training Data Contributors
The Nature Conservancy of California
The Nature Conservancy of California generously provided drone-based kelp imagery that was used to help train the kelp detection models. This high-resolution aerial data was instrumental in improving model accuracy and robustness.
Dr. Katherine Cavanaugh
Dr. Cavanaugh contributed valuable model development experience as well as expert annotations of Planet Labs satellite imagery that were used to help train the kelp-ps8b model. These expert annotations helped enable kelp detection capabilities for PlanetScope 8-band imagery.
Citation
If you use Habitat-Mapper in your research, please cite the software:
Denouden, T., & Reshitnyk, L. Habitat-Mapper [Computer software]. https://doi.org/10.5281/zenodo.17203205
@software{Denouden_Habitat-Mapper,
author = {Denouden, Taylor and Reshitnyk, Luba},
doi = {10.5281/zenodo.17203205},
title = {{Habitat-Mapper}},
url = {https://github.com/HakaiInstitute/habitat-mapper}
}
Acknowledgments
We are grateful to all contributors who have helped improve Habitat-Mapper through code contributions, bug reports, and feedback.