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Globally Consistent Patterns of Asynchrony in Vegetation Phenology Derived From Optical, Microwave, and Fluorescence Satellite Data
Author(s) -
Wang Xian,
Dannenberg Matthew P.,
Yan Dong,
Jones Matthew O.,
Kimball John S.,
Moore David J. P.,
Leeuwen Willem J. D.,
Didan Kamel,
Smith William K.
Publication year - 2020
Publication title -
journal of geophysical research: biogeosciences
Language(s) - English
Resource type - Journals
eISSN - 2169-8961
pISSN - 2169-8953
DOI - 10.1029/2020jg005732
Subject(s) - phenology , asynchrony (computer programming) , satellite , remote sensing , vegetation (pathology) , environmental science , microwave , growing season , climatology , meteorology , geography , ecology , computer science , biology , physics , telecommunications , asynchronous communication , geology , medicine , pathology , astronomy
Key Points Asynchrony in phenology metrics derived from optical, microwave, and fluorescence satellite data increases as the growing season progresses Globally, peak‐/end‐of‐season phenology metrics are temporally organized such that fluorescence < optical < microwave Integration of these independent satellite‐based indices reveals vegetation senescence as a prolonged, complex, and well‐organized process