TY - JOUR
T1 - Toward a Collective Agenda on AI for Earth Science Data Analysis
AU - Tuia, Devis
AU - Roscher, Ribana
AU - Wegner, Jan Dirk
AU - Jacobs, Nathan
AU - Zhu, Xiaoxiang
AU - Camps-Valls, Gustau
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2021/6
Y1 - 2021/6
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85112059962&partnerID=8YFLogxK
U2 - 10.1109/MGRS.2020.3043504
DO - 10.1109/MGRS.2020.3043504
M3 - Review article
AN - SCOPUS:85112059962
SN - 2473-2397
VL - 9
SP - 88
EP - 104
JO - IEEE Geoscience and Remote Sensing Magazine
JF - IEEE Geoscience and Remote Sensing Magazine
IS - 2
M1 - 9456877
ER -