A combined multi-source data and deep learning approach for retrieving snow depth on Antarctic Sea ice during the melting season

Zhongnan Yana Chinese Antarctic Center of Surveying and Mapping, Wuhan University, Wuhan, People’s Republic of ChinaView further author information

Qing Jib School of Geography and Tourism, Anhui Normal University, Wuhu, People’s Republic of ChinaView further author information

Bin Hea Chinese Antarctic Center of Surveying and Mapping, Wuhan University, Wuhan, People’s Republic of ChinaView further author information

Yizhuo Chena Chinese Antarctic Center of Surveying and Mapping, Wuhan University, Wuhan, People’s Republic of ChinaView further author information

Yueyun Wanga Chinese Antarctic Center of Surveying and Mapping, Wuhan University, Wuhan, People’s Republic of ChinaView further author information

Xiaoping Panga Chinese Antarctic Center of Surveying and Mapping, Wuhan University, Wuhan, People’s Republic of China;c Key Laboratory of Polar Environment Monitoring and Public Governance, Ministry of Education, Wuhan, People’s Republic of ChinaCorrespondence[email protected]
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A combined multi-source data and deep learning approach for retrieving snow depth on Antarctic Sea ice during the melting season

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A combined multi-source data and deep learning approach for retrieving snow depth on Antarctic Sea ice during the melting season

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