A Biologist’s Guide to the Galaxy: Leveraging Artificial Intelligence and Very High-Resolution Satellite Imagery to Monitor Marine Mammals from Space

Christin B. Khan; Kimberly T. Goetz; Hannah C. Cubaynes; Caleb Robinson; Erin Murnane; Tyler Aldrich; Meredith Sackett; Penny J. Clarke; Michelle A. LaRue; Timothy White; Kathleen Leonard; Anthony Ortiz; Juan M. Lavista Ferres

doi:10.3390/jmse11030595

A Biologist’s Guide to the Galaxy: Leveraging Artificial Intelligence and Very High-Resolution Satellite Imagery to Monitor Marine Mammals from Space

Christin B. Khan, Kimberly T. Goetz, Hannah C. Cubaynes, Caleb Robinson, Erin Murnane, Tyler Aldrich, Meredith Sackett, Penny J. Clarke, Michelle A. LaRue, Timothy White, Kathleen Leonard, Anthony Ortiz, Juan M. Lavista Ferres

Earth and Environmental Sciences-Twin Cities

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

Monitoring marine mammals is of broad interest to governments and individuals around the globe. Very high-resolution (VHR) satellites hold the promise of reaching remote and challenging locations to fill gaps in our knowledge of marine mammal distribution. The time has come to create an operational platform that leverages the increased resolution of satellite imagery, proof-of-concept research, advances in cloud computing, and machine learning to monitor the world’s oceans. The Geospatial Artificial Intelligence for Animals (GAIA) initiative was formed to address this challenge with collaborative innovation from government agencies, academia, and the private sector. In this paper, we share lessons learned, challenges faced, and our vision for how VHR satellite imagery can enhance our understanding of cetacean distribution in the future.

Original language	English (US)
Article number	595
Journal	Journal of Marine Science and Engineering
Volume	11
Issue number	3
DOIs	https://doi.org/10.3390/jmse11030595
State	Published - Mar 2023

Bibliographical note

Publisher Copyright:
© 2023 by the authors.

Keywords

Geospatial Artificial Intelligence for Animals
annotation
artificial intelligence
cetacean
collaborative innovation
machine learning
marine mammal
open-source
remote sensing
very high-resolution satellite imagery

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10.3390/jmse11030595

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Khan, C. B., Goetz, K. T., Cubaynes, H. C., Robinson, C., Murnane, E., Aldrich, T., Sackett, M., Clarke, P. J., LaRue, M. A., White, T., Leonard, K., Ortiz, A., & Lavista Ferres, J. M. (2023). A Biologist’s Guide to the Galaxy: Leveraging Artificial Intelligence and Very High-Resolution Satellite Imagery to Monitor Marine Mammals from Space. Journal of Marine Science and Engineering, 11(3), Article 595. https://doi.org/10.3390/jmse11030595

Khan, CB, Goetz, KT, Cubaynes, HC, Robinson, C, Murnane, E, Aldrich, T, Sackett, M, Clarke, PJ, LaRue, MA, White, T, Leonard, K, Ortiz, A & Lavista Ferres, JM 2023, 'A Biologist’s Guide to the Galaxy: Leveraging Artificial Intelligence and Very High-Resolution Satellite Imagery to Monitor Marine Mammals from Space', Journal of Marine Science and Engineering, vol. 11, no. 3, 595. https://doi.org/10.3390/jmse11030595

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abstract = "Monitoring marine mammals is of broad interest to governments and individuals around the globe. Very high-resolution (VHR) satellites hold the promise of reaching remote and challenging locations to fill gaps in our knowledge of marine mammal distribution. The time has come to create an operational platform that leverages the increased resolution of satellite imagery, proof-of-concept research, advances in cloud computing, and machine learning to monitor the world{\textquoteright}s oceans. The Geospatial Artificial Intelligence for Animals (GAIA) initiative was formed to address this challenge with collaborative innovation from government agencies, academia, and the private sector. In this paper, we share lessons learned, challenges faced, and our vision for how VHR satellite imagery can enhance our understanding of cetacean distribution in the future.",

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doi = "10.3390/jmse11030595",

language = "English (US)",

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AU - Murnane, Erin

AU - Aldrich, Tyler

AU - Sackett, Meredith

AU - Clarke, Penny J.

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KW - annotation

KW - artificial intelligence

KW - cetacean

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A Biologist’s Guide to the Galaxy: Leveraging Artificial Intelligence and Very High-Resolution Satellite Imagery to Monitor Marine Mammals from Space

Abstract

Bibliographical note

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