Globally Consistent Patterns of Asynchrony in Vegetation Phenology Derived From Optical, Microwave, and Fluorescence Satellite Data | Zendy

Wang Xian | Zendy; Dannenberg Matthew P. | Zendy; Yan Dong | Zendy; Jones Matthew O. | Zendy; Kimball John S. | Zendy; Moore David J. P. | Zendy; Leeuwen Willem J. D. | Zendy; Didan Kamel | Zendy; Smith William K. | Zendy

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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

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