Agriculture Reference
In-Depth Information
monitoring, especially for biomass feedstock quality assessment, such as low spatial
and temporal resolutions, availability limited by weather conditions, and high cost.
Therefore, great potential for approaching large-scale biomass yield prediction based
on satellite imaginary after recalibration with the site-specifi c real-time remote sens-
ing data so that the decision support tool with data to knowledge can be achieved for
the BFP industry.
Acknowledgments The authors would like to thank Energy Biosciences Institute, University of
Illinois at Urbana-Champaign, for supporting the program “Engineering Solutions for Biomass
Feedstock Production.”
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