The future of ecosystem assessments is automation, collaboration, and artificial intelligence

Carmen Galaz García, Kenneth J. Bagstad, Julien Brun, Rebecca Chaplin-Kramer, Trevor Dhu, Nicholas J. Murray, Connor J. Nolan, Taylor H. Ricketts, Heidi M. Sosik, Daniel Sousa, Geoff Willard, Benjamin S. Halpern

Research output: Contribution to journalArticlepeer-review

4 Scopus citations
Original languageEnglish (US)
Article number011003
JournalEnvironmental Research Letters
Volume18
Issue number1
DOIs
StatePublished - Jan 1 2023

Bibliographical note

Funding Information:
This work was supported by a gift from Microsoft (funding code 8-448755-17211-EC417). Heidi M Sosik gratefully acknowledges support from the Simons Foundation (Grant #561126). Support for Kenneth J Bagstad’s time was provided by the U.S. Geological Survey’s Land Change Science Program.

Funding Information:
We thank Steven Brumby and Amy Luers for the fruitful discussions that supported this article. We thank the National Center for Ecological Analysis and Synthesis for facilitating the authors’ work on this paper. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Keywords

  • cloud computing
  • ecological monitoring
  • ecosystem assessment
  • environmental data
  • global environmental goals
  • remote sensing

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