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Estimating pasture biomass with active optical sensors

  • K. Andersson (a1) (a2), M. Trotter (a1) (a2), A. Robson (a1) (a2), D. Schneider (a1) (a2), L. Frizell (a1), A. Saint (a1), D. Lamb (a1) (a2) and C. Blore (a3)...

Abstract

We investigated relationship between pasture biomass and measures of height and NDVI (normalised difference vegetation index). The pastures were tall fescue (Festuca arundinacea), perennial ryegrass (Lolium perenne), and phalaris (Phalaris aquatica) located in Tasmania, Victoria and in the Northern Tablelands of NSW, Australia. Using the Trimble® GreenSeeker® Handheld active optical sensor (AOS) to measure NDVI, and a rising plate meter, the optimal model to estimate green dry biomass (GDM) during two years was a combination of NDVI and falling plate height index. The combined index was significantly correlated with GDM in each region during winter and spring (r2=0.62–0.77, P<0.001). Regional calibrations provided a smaller error in estimates of green biomass, required for potential application in the field, compared to a single overall calibration. Data collected in a third year will be used to test the accuracy of the models.

Copyright

Corresponding author

Email: kander46@une.edu.au

References

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Keywords

Estimating pasture biomass with active optical sensors

  • K. Andersson (a1) (a2), M. Trotter (a1) (a2), A. Robson (a1) (a2), D. Schneider (a1) (a2), L. Frizell (a1), A. Saint (a1), D. Lamb (a1) (a2) and C. Blore (a3)...

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