Evaluating an active optical sensor for quantifying and mapping green herbage mass and growth in a perennial grass pasture
M. G. Trotter A B D , D. W. Lamb A B , G. E. Donald A C and D. A. Schneider A BA Cooperative Research Centre for Spatial Information, Carlton, Victoria 3053, Australia.
B Precision Agriculture Research Group, University of New England, Armidale, NSW 2351, Australia.
C CSIRO, Chiswick Research Station, Armidale, NSW 2350, Australia.
D Corresponding author. Email: mtrotter@une.edu.au
Crop and Pasture Science 61(5) 389-398 https://doi.org/10.1071/CP10019
Submitted: 20 January 2010 Accepted: 19 March 2010 Published: 12 May 2010
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.
Acknowledgments
This work was partially funded by the CRC for Spatial Information (CRCSI), established and supported under the Australian Government’s Cooperative Research Centres Programme. The authors wish to acknowledge the significant contribution of Matthew Monk of Sundown Pastoral Co. Pty Ltd.
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