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Research Article
A high-quality global elevation control point dataset from ICESat-2 altimeter data
Binbin Lia College of Surveying and Geo-informatics, and Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai, People’s Republic of China;b JC STEM Lab of Earth Observations, Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, People’s Republic of China;c Research Centre for Artificial Intelligence in Geomatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, People’s Republic of China;d Research Institute for Land and Space, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, People’s Republic of ChinaView further author information
, Huan Xiea College of Surveying and Geo-informatics, and Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai, People’s Republic of China;e Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai, People’s Republic of ChinaCorrespondence[email protected]
https://orcid.org/0000-0003-3272-7848View further author information
Shijie Liua College of Surveying and Geo-informatics, and Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai, People’s Republic of ChinaView further author information
, Yuanting Xia College of Surveying and Geo-informatics, and Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai, People’s Republic of ChinaView further author information
, Changda Liua College of Surveying and Geo-informatics, and Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai, People’s Republic of China;e Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai, People’s Republic of ChinaView further author information
, Yusheng Xua College of Surveying and Geo-informatics, and Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai, People’s Republic of ChinaView further author information
, Zhen Yea College of Surveying and Geo-informatics, and Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai, People’s Republic of ChinaView further author information
, Zhonghua Hongf College of Information Technology, Shanghai Ocean University, Shanghai, People’s Republic of ChinaView further author information
, Qihao Wengb JC STEM Lab of Earth Observations, Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, People’s Republic of China;c Research Centre for Artificial Intelligence in Geomatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, People’s Republic of China;d Research Institute for Land and Space, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, People’s Republic of ChinaView further author information
, Yuan Suna College of Surveying and Geo-informatics, and Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai, People’s Republic of ChinaView further author information
, Qi Xua College of Surveying and Geo-informatics, and Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai, People’s Republic of ChinaView further author information
& Xiaohua Tonga College of Surveying and Geo-informatics, and Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai, People’s Republic of ChinaView further author information
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Article: 2361724
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Received 05 Mar 2024, Accepted 26 May 2024, Published online: 13 Jun 2024
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