Toward a Collective Agenda on AI for Earth Science Data Analysis

Devis Tuia, Ribana Roscher, Jan Dirk Wegner, Nathan Jacobs, Xiaoxiang Zhu, Gustau Camps-Valls

Research output: Contribution to journalReview articlepeer-review

39 Scopus citations

Abstract

In past years, we have witnessed the fields of geosciences and remote sensing and artificial intelligence (AI) become closer. Thanks to the massive availability of observational data, improved simulations, and algorithmic advances, these disciplines have found common objectives and challenges to help advance the modeling and understanding of the Earth system. Despite such great opportunities, we have also observed a worrisome tendency to remain in disciplinary comfort zones, applying recent advances from AI on well-resolved remote sensing problems. Here, we take a position on the research directions for which we think the interface between these fields will have the most significant impact and become potential game changers. In our declared agenda for AI in Earth sciences, we aim to inspire researchers, especially the younger generations, to tackle these challenges for a real advance of remote sensing and the geosciences.

Original languageEnglish
Article number9456877
Pages (from-to)88-104
Number of pages17
JournalIEEE Geoscience and Remote Sensing Magazine
Volume9
Issue number2
DOIs
StatePublished - Jun 2021

Bibliographical note

Publisher Copyright:
© 2013 IEEE.

ASJC Scopus subject areas

  • General Computer Science
  • Instrumentation
  • General Earth and Planetary Sciences
  • Electrical and Electronic Engineering

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