Carbon Flux Phenology from the Sky: Evaluation for Maize and Soybean
Author(s) -
Alexandria G. McCombs,
April L. Hiscox,
Cuizhen Wang,
Ankur R. Desai,
Andrew E. Suyker,
Sébastien Biraud
Publication year - 2018
Publication title -
journal of atmospheric and oceanic technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.774
H-Index - 124
eISSN - 1520-0426
pISSN - 0739-0572
DOI - 10.1175/jtech-d-17-0004.1
Subject(s) - phenology , environmental science , carbon flux , vegetation (pathology) , flux (metallurgy) , growing season , carbon cycle , remote sensing , leaf area index , atmospheric sciences , ecosystem , agronomy , ecology , geography , biology , geology , medicine , pathology , materials science , metallurgy
Carbon flux phenology is widely used to understand carbon flux dynamics and surface exchange processes. Vegetation phenology has been widely evaluated by remote sensors; however, very few studies have evaluated the use of vegetation phenology for identifying carbon flux phenology. Currently available techniques to derive net ecosystem exchange (NEE) from a satellite image use a single generic modeling subgroup for agricultural crops. But, carbon flux phenological processes vary highly with crop types and land management practices; this paper reexamines this assumption. Presented here are an evaluation of ground-truth remotely sensed vegetation indices with in situ NEE measurements and an identification of vegetation indices for estimating carbon flux phenology metrics by crop type. Results show that the performance of different vegetation indices as an indicator of phenology varies with crop type, particularly when identifying the start of a season and the peak of a season. Maize fields require ve...
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