A Biologist’s Guide to the Galaxy: Leveraging Artificial Intelligence and Very High-Resolution Satellite Imagery to Monitor Marine Mammals from Space-Reference-Cited by-同舟云学术

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

Published:2023-03-11 Issue:3 Volume:11 Page:595
ISSN:2077-1312
Container-title:Journal of Marine Science and Engineering
language:en
Short-container-title:JMSE

Author:

Khan Christin B.¹^ORCID,Goetz Kimberly T.²^ORCID,Cubaynes Hannah C.³^ORCID,Robinson Caleb⁴,Murnane Erin⁵,Aldrich Tyler¹,Sackett Meredith¹^ORCID,Clarke Penny J.³⁶^ORCID,LaRue Michelle A.⁷⁸,White Timothy⁹,Leonard Kathleen¹⁰,Ortiz Anthony⁴,Lavista Ferres Juan M.⁴

Affiliation:

1. Northeast Fisheries Science Center, National Marine Fisheries Service, NOAA, Woods Hole, MA 02543, USA

2. Marine Mammal Laboratory, Alaska Fisheries Science Center, National Marine Fisheries Service, NOAA, Seattle, WA 98115, USA

3. British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 0ET, UK

4. Microsoft AI for Good Research Lab, 1 Microsoft Way, Redmond, WA 98052, USA

5. Naval Research Laboratory, Naval Center for Space Technology (NCST), Washington, DC 20375, USA

6. School of Engineering, University of Edinburgh, Sanderson Building, Robert Stevenson Road, The King’s Buildings, Edinburgh EH9 3FB, UK

7. School of Earth and Environment, University of Canterbury, Christchurch 8140, New Zealand

8. Department of Earth and Environmental Science, University of Minnesota, Minneapolis, MN 55455, USA

9. Bureau of Ocean Energy Management, Environmental Studies Program, Sterling, VA 20166, USA

10. Protected Resources Division, Alaska Regional Office, National Marine Fisheries Service, NOAA, Anchorage, AK 99513, USA

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.

Funder

U.S. Naval Research Laboratory

Microsoft

National Oceanographic Partnership Program

National Protected Species Toolbox initiative

NOAA’s High Performance Computing and Communications IT Incubator

Marine Mammal Commission

Ecosystems component of the British Antarctic Survey

Publisher

MDPI AG

Subject

Ocean Engineering,Water Science and Technology,Civil and Structural Engineering

Link

https://www.mdpi.com/2077-1312/11/3/595/pdf

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