Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/7488
Title: Evaluating an active optical sensor for quantifying and mapping green herbage mass and growth in a perennial grass pasture
Contributor(s): Trotter, Mark (author); Lamb, David (author); Donald, Graham (author); Schneider, Derek (author)orcid 
Publication Date: 2010
DOI: 10.1071/CP10019
Handle Link: https://hdl.handle.net/1959.11/7488
Abstract: Efficiently measuring and mapping green herbage mass using remote sensing devices offers substantial potential benefits for improved management of grazed pastures over space and time. Several techniques and instruments have been developed for estimating herbage mass, however, they face similar limitations in terms of their ability to distinguish green and senescent material and their use over large areas. In this study we explore the application of an active, near infrared and red reflectance sensor to quantify and map pasture herbage mass using a range of derived spectral indices. The Soil Adjusted Vegetation Index offered the best correlation with green dry matter (GDM), with a root mean square error of prediction of 288 kg/ha. The calibrated sensor was integrated with a Global Positioning System on a 4-wheel motor bike to map green herbage mass. An evaluation of representative, truncated transects indicated the potential to conduct rapid assessments of the GDM in a paddock, without the need for full paddock surveys.
Publication Type: Journal Article
Source of Publication: Crop and Pasture Science, 61(5), p. 389-398
Publisher: CSIRO Publishing
Place of Publication: Collingwood, Australia
ISSN: 1836-5795
1836-0947
Field of Research (FOR): 070304 Crop and Pasture Biomass and Bioproducts
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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