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Related Concept Videos

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Can We Use Satellite-Based FAPAR to Detect Drought?

Jian Peng1,2,3, Jan-Peter Muller4, Simon Blessing5

  • 1School of Geography and the Environment, University of Oxford, Oxford OX1 3QY, UK. jian.peng@ouce.ox.ac.uk.

Sensors (Basel, Switzerland)
|August 25, 2019
PubMed
Summary

The Quality Assurance for Essential Climate Variables (QA4ECV) Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) shows strong potential for monitoring Australian drought impacts. This satellite data offers reliable quality information for vegetation health assessments.

Keywords:
AustraliaCGLSFAPARMODISQA4ECVdrought

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Area of Science:

  • Earth Observation
  • Climate Science
  • Agricultural Science

Background:

  • Drought significantly impacts Australian agriculture and ecosystems.
  • Satellite-derived Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) is crucial for monitoring vegetation health.
  • Existing FAPAR datasets exhibit discrepancies due to varied retrieval methods.

Purpose of the Study:

  • To evaluate the effectiveness of the Quality Assurance for Essential Climate Variables (QA4ECV) FAPAR dataset for drought monitoring in Australia.
  • To assess the QA4ECV FAPAR's capability in tracking vegetation greenness and health during drought periods.

Main Methods:

  • Spatial and temporal comparison of QA4ECV FAPAR with MODIS, SPOT/PROBA-V FAPAR (CGLS), SPEI drought index, and ESA CCI soil moisture.
  • Correlation analysis to validate QA4ECV FAPAR performance against established drought indicators and satellite products.

Main Results:

  • The QA4ECV FAPAR demonstrates significant capability in supporting agricultural drought monitoring and assessment across Australia.
  • The dataset shows strong correlations with other FAPAR products and drought indices, validating its utility.

Conclusions:

  • The QA4ECV FAPAR is a valuable tool for drought impact assessment in Australia.
  • Traceable uncertainties in the QA4ECV FAPAR dataset enhance its reliability for future applications in climate and agricultural monitoring.