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Self-adapting extraction of cropland phenological transitions of rotation agroecosystems using dynamically fused NDVI images.
Tang, Jia; Zeng, Jingyu; Zhang, Qing; Zhang, Rongrong; Leng, Song; Zeng, Yue; Shui, Wei; Xu, Zhanghua; Wang, Qianfeng.
Affiliation
  • Tang J; College of Environment and Resources, Fuzhou University, Fuzhou, 350116, China.
  • Zeng J; College of Environment and Resources, Fuzhou University, Fuzhou, 350116, China.
  • Zhang Q; Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth,, Chinese Academy of Science, Beijing, 100094, China.
  • Zhang R; College of Environment and Resources, Fuzhou University, Fuzhou, 350116, China.
  • Leng S; Climate Change Cluster, University of Technology Sydney, Sydney, New South Wales, 2007, Australia.
  • Zeng Y; College of Environment and Resources, Fuzhou University, Fuzhou, 350116, China.
  • Shui W; College of Environment and Resources, Fuzhou University, Fuzhou, 350116, China.
  • Xu Z; College of Environment and Resources, Fuzhou University, Fuzhou, 350116, China.
  • Wang Q; College of Environment and Resources, Fuzhou University, Fuzhou, 350116, China. wangqianfeng@fzu.edu.cn.
Int J Biometeorol ; 64(8): 1273-1283, 2020 Aug.
Article in En | MEDLINE | ID: mdl-32266528
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Full text: 1 Database: MEDLINE Main subject: Zea mays / Satellite Imagery Type of study: Prognostic_studies Limits: Humans Language: En Journal: Int J Biometeorol Year: 2020 Type: Article Affiliation country: China
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Full text: 1 Database: MEDLINE Main subject: Zea mays / Satellite Imagery Type of study: Prognostic_studies Limits: Humans Language: En Journal: Int J Biometeorol Year: 2020 Type: Article Affiliation country: China