Using time-series imagery and 3DLSTM model to classify individual tree species

Caiyan Chena 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 School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, People’s Republic of ChinaView further author information

Linhai Jingb International Research Center of Big Data for Sustainable Development Goals, Beijing, People’s Republic of ChinaCorrespondence[email protected]
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Hui Lia Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, People’s Republic of ChinaView further author information

Yunwei Tangb International Research Center of Big Data for Sustainable Development Goals, Beijing, People’s Republic of ChinaView further author information

Fulong Chena 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;d Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education & School of Geography and Environment, Jiangxi Normal University, Nanchang, People’s Republic of ChinaView further author information

Bingxiang Tane Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, People’s Republic of ChinaView further author information

Using time-series imagery and 3DLSTM model to classify individual tree species

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