Estimating pasture biomass with active optical sensors

Title
Estimating pasture biomass with active optical sensors
Publication Date
2017
Author(s)
Andersson, Karl
Trotter, M
Robson, Andrew
( author )
OrcID: https://orcid.org/0000-0001-5762-8980
Email: arobson7@une.edu.au
UNE Id une-id:arobson7
Schneider, Derek
( author )
OrcID: https://orcid.org/0000-0002-1897-4175
Email: dschnei5@une.edu.au
UNE Id une-id:dschnei5
Frizell, Lucy
Saint, Ashley
Lamb, David
Blore, C
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
Cambridge University Press
Place of publication
United Kingdom
DOI
10.1017/s2040470017000838
UNE publication id
une:23331
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.
Link
Citation
Advances in Animal Biosciences, 8(2), p. 754-757
ISSN
2040-4719
2040-4700
Start page
754
End page
757

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