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International Journal of Digital Earth Volume 16, 2023 - Issue 2
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Research Article

Suitability analysis of human activities over Antarctic ice shelves: an integrated assessment of natural conditions based on machine learning algorithms

Bojin Yanga Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, People’s Republic of China;b International Research Center of Big Data for Sustainable Development Goals, Beijing, People’s Republic of China;c University of Chinese Academy of Sciences, Beijing, People’s Republic of ChinaView further author information
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Shuang Lianga Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, People’s Republic of China;b International Research Center of Big Data for Sustainable Development Goals, Beijing, People’s Republic of ChinaCorrespondence[email protected] [email protected]
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Huadong Guoa Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, People’s Republic of China;b International Research Center of Big Data for Sustainable Development Goals, Beijing, People’s Republic of ChinaView further author information
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Xinwu Lia Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, People’s Republic of China;b International Research Center of Big Data for Sustainable Development Goals, Beijing, People’s Republic of ChinaView further author information
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Mingyang Lva Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, People’s Republic of China;b International Research Center of Big Data for Sustainable Development Goals, Beijing, People’s Republic of ChinaView further author information
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Sebastián Marinsekd Instituto Antártico Argentino, Buenos Aires, ArgentinaView further author information
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Zeyuan Lia Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, People’s Republic of China;b International Research Center of Big Data for Sustainable Development Goals, Beijing, People’s Republic of China;c University of Chinese Academy of Sciences, Beijing, People’s Republic of ChinaView further author information
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Pages 4906-4928 | Received 19 Jul 2023, Accepted 09 Nov 2023, Published online: 30 Nov 2023

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