Artificial intelligence to advance Earth observation: a perspective
- URL: http://arxiv.org/abs/2305.08413v1
- Date: Mon, 15 May 2023 07:47:24 GMT
- Title: Artificial intelligence to advance Earth observation: a perspective
- Authors: Devis Tuia, Konrad Schindler, Beg\"um Demir, Gustau Camps-Valls, Xiao
Xiang Zhu, Mrinalini Kochupillai, Sa\v{s}o D\v{z}eroski, Jan N. van Rijn,
Holger H. Hoos, Fabio Del Frate, Mihai Datcu, Jorge-Arnulfo Quian\'e-Ruiz,
Volker Markl, Bertrand Le Saux, Rochelle Schneider
- Abstract summary: This article gives a bird's eye view of the essential scientific tools and approaches informing and supporting the transition from raw EO data to usable EO-based information.
We cover the impact of (i) Computer vision; (ii) Machine learning; (iii) Advanced processing and computing; (iv) Knowledge-based AI; (v) Explainable AI and causal inference; (vi) Physics-aware models; (vii) User-centric approaches; and (viii) the much-needed discussion of ethical and societal issues related to the massive use of ML technologies in EO.
- Score: 56.13510552915079
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Earth observation (EO) is a prime instrument for monitoring land and ocean
processes, studying the dynamics at work, and taking the pulse of our planet.
This article gives a bird's eye view of the essential scientific tools and
approaches informing and supporting the transition from raw EO data to usable
EO-based information. The promises, as well as the current challenges of these
developments, are highlighted under dedicated sections. Specifically, we cover
the impact of (i) Computer vision; (ii) Machine learning; (iii) Advanced
processing and computing; (iv) Knowledge-based AI; (v) Explainable AI and
causal inference; (vi) Physics-aware models; (vii) User-centric approaches; and
(viii) the much-needed discussion of ethical and societal issues related to the
massive use of ML technologies in EO.
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