@article{ae8c0402ff4f4b8086d0075b4c8984ab,
title = "Artificial Intelligence to Advance Earth Observation: A review of models, recent trends, and pathways forward",
abstract = "Earth observation (EO) is increasingly used for mapping and monitoring processes occurring at the surface of Earth. Data acquired by satellites nowadays allow us to have a global view, consistent in time, of the state of our forests, oceans, and growing urban areas. However, such a wealth of data has little value without appropriate processing chains able to convert the pixel values to information useful for decision makers.",
author = "Devis Tuia and Konrad Schindler and Beg{\"u}m Demir and Zhu, {Xiao Xiang} and Mrinalini Kochupillai and Sa{\v s}o D{\v z}eroski and {Van Rijn}, {Jan N.} and Hoos, {Holger H.} and {Del Frate}, Fabio and Mihai Datcu and Volker Markl and {Le Saux}, Bertrand and Rochelle Schneider and Gustau Camps-Valls",
note = "Publisher Copyright: {\textcopyright} 2013 IEEE.",
year = "2024",
doi = "10.1109/MGRS.2024.3425961",
language = "English",
journal = "IEEE Geoscience and Remote Sensing Magazine",
issn = "2473-2397",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
}