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Understanding the relationship between vegetation greenness and productivity across dryland ecosystems through the integration of PhenoCam, satellite, and eddy covariance data

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Understanding the relationship between vegetation greenness and productivity across dryland ecosystems through the integration of PhenoCam, satellite, and eddy covariance data: Remote Sensing of Environment, v. 223.

Summary

Drylands account for approximately 40% of the global land surface and play a dominant role in the trend and variability of terrestrial carbon uptake and storage. Gross ecosystem photosynthesis – termed gross primary productivity (GPP) – is a critical driver of terrestrial carbon uptake and remains challenging to be observed directly. Currently, vegetation indices that largely capture changes in greenness are the most commonly used datasets in satellite-based GPP modeling. However, there remains significant uncertainty in the spatiotemporal relationship between greenness indices and GPP, especially for relatively heterogeneous dryland ecosystems. In this paper, we compared vegetation greenness indices from PhenoCam and satellite (Landsat [...]

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  • National and Regional Climate Adaptation Science Centers
  • North Central CASC

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citationTypeJournal Article
journalRemote Sensing of Environment
parts
typeissn
value0034-4257
typevolume
value223
typeendPage
value62
typestartPage
value50
typedoi
value10.1016/j.rse.2018.12.029

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