Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/23147
Title: Estimating pasture biomass with active optical sensors
Contributor(s): Andersson, Karl (author); Trotter, M (author); Robson, Andrew (author)orcid ; Schneider, Derek (author); Frizell, Lucy (author); Saint, Ashley (author); Lamb, David (author); Blore, C (author)
Publication Date: 2017
DOI: 10.1017/s2040470017000838
Handle Link: https://hdl.handle.net/1959.11/23147
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.
Publication Type: Journal Article
Source of Publication: Advances in Animal Biosciences, 8(2), p. 754-757
Publisher: Cambridge University Press
Place of Publication: United Kingdom
ISSN: 2040-4700
2040-4719
Field of Research (FOR): 070304 Crop and Pasture Biomass and Bioproducts
070104 Agricultural Spatial Analysis and Modelling
HERDC Category Description: C2 Non-Refereed Article in a Scholarly Journal
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