High Spatial Resolution and High Temporal Frequency (30-m/15-day) Fractional Vegetation Cover Estimation over China Using Multiple Remote Sensing Datasets: Method Development and Validation | Zendy

Xihan Mu | Zendy; Tian Zhao | Zendy; Gaiyan Ruan | Zendy; Jinling Song | Zendy; Jindi Wang | Zendy; Guangjian Yan | Zendy; Tim R. McVicar | Zendy; Kai Yan | Zendy; Zhan Gao | Zendy; Yaokai Liu | Zendy; Yuanyuan Wang | Zendy

Open Access

High Spatial Resolution and High Temporal Frequency (30-m/15-day) Fractional Vegetation Cover Estimation over China Using Multiple Remote Sensing Datasets: Method Development and Validation

Author(s) -

Xihan Mu,

Tian Zhao,

Gaiyan Ruan,

Jinling Song,

Jindi Wang,

Guangjian Yan,

Tim R. McVicar,

Kai Yan,

Zhan Gao,

Yaokai Liu,

Yuanyuan Wang

Publication year - 2021

Publication title -

journal of meteorological research

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.822

H-Index - 28

eISSN - 2198-0934

pISSN - 2095-6037

DOI - 10.1007/s13351-021-0017-2

Subject(s) - moderate resolution imaging spectroradiometer , normalized difference vegetation index , land cover , remote sensing , environmental science , image resolution , vegetation (pathology) , temporal resolution , enhanced vegetation index , satellite , meteorology , leaf area index , geography , land use , vegetation index , computer science , physics , medicine , ecology , civil engineering , pathology , quantum mechanics , astronomy , artificial intelligence , engineering , biology

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