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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

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
Journal of Marine Science and Engineering · Vol. 11, Issue 3 · pp. 595 · 2023

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.

Bibliographic Information

JournalJournal of Marine Science and Engineering
PublisherMDPI
Publication Date2023-03-11
Publication Year2023
Volume11
Issue3
Pages595
Document TypeJournal Article
eISSN2077-1312
DOI10.3390/jmse11030595
SubjectMarine science; oceanography; marine engineering; coastal science; marine environment

Access Information

NARA Access CoverageOA / free full text
Journal Homepagehttps://www.mdpi.com/journal/jmse
Publisher PageOpen Publisher Page
This article is openly available from the publisher.