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Vegetation classification in a subtropical region with Sentinel-2 time series data and deep learning

Ming Zhang Dengqiu Li Guiying Li Dengsheng Lu

地球空间信息科学学报（英文版）2025，Vol.28Issue(1)：中插9,145-163,20.

地球空间信息科学学报（英文版）2025，Vol.28Issue(1)：中插9,145-163,20.DOI:10.1080/10095020.2024.2336604

Vegetation classification in a subtropical region with Sentinel-2 time series data and deep learning

Ming Zhang ¹Dengqiu Li ¹Guiying Li ¹Dengsheng Lu²

作者信息

1. Institute of Geography,Fujian Normal University,Fuzhou,China||Key Laboratory for Humid Subtropical Eco-Geographical Processes of the Ministry of Education,Fujian Normal University,Fuzhou,China
2. Institute of Geography,Fujian Normal University,Fuzhou,China||Key Laboratory for Humid Subtropical Eco-Geographical Processes of the Ministry of Education,Fujian Normal University,Fuzhou,China||Fujian Provincial Engineering Research Center for Forest Carbon Metering,Fujian Normal University,Fuzhou,China
折叠

摘要

关键词

Sentinel-2/time series/recurrence plot/convolutional neural network(CNN)/vegetation classification/subtropical ecosystem

Key words

Sentinel-2/time series/recurrence plot/convolutional neural network(CNN)/vegetation classification/subtropical ecosystem

引用本文复制引用

Ming Zhang,Dengqiu Li,Guiying Li,Dengsheng Lu..Vegetation classification in a subtropical region with Sentinel-2 time series data and deep learning[J].地球空间信息科学学报（英文版）,2025,28(1):中插9,145-163,20.

基金项目

This work was supported by National Key Research and Development Program of China[grant number 2021YFE0117700-2(2)],Natural Science Foundation of Fujian Province[grant number 2022J01640],Public Welfare Projects of Fujian Provincial Science and Technology Department[grant number 2021R1002008],National Natural Science Foundation of China[grant num-ber 32371865],and the China Scholarship Council. （2）

地球空间信息科学学报（英文版）

ISSN：1009-5020

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