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Reference

  1. https://sciencecouncil.noaa.gov/Portals/0/2020%20AI%20Strategy.pdf?ver=2020-09-17-150016-857

  2. https://sa.catapult.org.uk/wp-content/uploads/2022/09/State-of-AI-for-Earth-Observation.pdf

  3. Sota HIRAYAMA, Takeo TADONO, Masato OHKI, Yousei MIZUKAMI, Kenlo NISHIDA NASAHARA, Koichi IMAMURA, Naoyoshi HIRADE, Fumi OHGUSHI, Masanori DOTSU and Tsutomu YAMANOKUCHI (2020): Generation of High-Resolution Land Use and Land Cover Maps in JAPAN Version 21.11, Journal of the Remote Sensing Society of Japan, 42(3), 199, -216

  4. Generation of High-Resolution Land Use and Land Cover Map Products in Asia

  5. GCOM-C/SGLI Global 250 m Land Cover Map

  6. https://ceos.org/document_management/Working_Groups/WGISS/Meetings/WGISS-54/6-Thursday/2022.10.06_10.30_NCAI%20for%20CEOS%20WGISS.pdf

  7. https://ceos.org/document_management/Working_Groups/WGISS/Meetings/WGISS-54/6-Thursday/2022.10.06_12.15_AI-ML%20GCMD%20Keywords_2.pptx

  8. https://ceos.org/document_management/Working_Groups/WGISS/Meetings/WGISS-57/Presentations/6.3_AI_ISRO_Usecases_Ashutosh_Gupta_v1.pdf

  9. K. Clasen, L. Hackel, T. Burgert, G. Sumbul, B. Demir, V. Markl, " reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis ", arXiv preprint arXiv:2407.03653, 2024.

  10. G. Sumbul, A. d. Wall, T. Kreuziger, F. Marcelino, H. Costa, P. Benevides, M. Caetano, B. Demir, V. Markl, "BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval", IEEE Geoscience and Remote Sensing Magazine, 2021, doi: 10.1109/MGRS.2021.3089174.