Preharvest Monitoring of Biomass Production - Engineering and Science of Biomass Feedstock Production and Provision - page 73

Fig. 4.10 Biomass energy crop growth pattern recognition by near-real-time remote sensing (2012)

1600.00
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0.00

Sample Points
Linear (Sample Points)

y = 66.854x + 255.4
R 2 = 0.64424

0 5 10

Accumulated NDVI

15 20

Fig. 4.11 Miscanthus biomass yield (g/m 2 ) correlation between the ground truth data and near-
real-time remote sensing data (2011)

on revisit time to the experimental area. The ground reference sensing was done to
realize the spectrometer responses for crop growth and quantum sensing to estimate
biomass accumulation from intercepted solar radiation for Miscanthus, switchgrass,
and prairie grass. The NDVI and GNDVI trajectories were fi gured out to visualize
the spectral signature based on the near-infrared information. The accumulated
NDVI was correlated with the ground truth data from harvested biomass yield, and
a biomass yield prediction model was established. The biomass yield of Miscanthus,
at other locations in the same fi eld where the samples were collected, was predicted
based on the established model. The experiments and real-time processing of images
and data from spectral sensors were transmitted through wireless communication to
local server for sharing with other researchers.