Towards efficient global grape mapping: a two-stage spatio-temporal filtering framework for training sample collection

Jingyi Yang Zhiying Yao Yan Wang Hengbin Wang Chaoran Liang Hongdong Li Yunxiao Liu Zhe Liu Xiaodong Zhang Shaoming Li Yuanyuan Zhao a College of Land Science and Technology, China Agricultural University, Beijing, People's Republic of Chinab Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture and Rural Affairs, Beijing, People's Republic of Chinac Key Laboratory for Agricultural Land Quality, Ministry of Natural Resources of the People’s Republic of China, Beijing, People's Republic of China