Item

Photogrammetry for assessment of pasture biomass

Wigley, K
Owens, JL
Westerschulte, M
Riding, P
Fourie, J
Werner, A
Date
2019-11-04
Type
Journal Article
Collections
Fields of Research
ANZSRC::0703 Crop and Pasture Production , ANZSRC::0701 Agriculture, Land and Farm Management , ANZSRC::070103 Agricultural Production Systems Simulation , ANZSRC::070304 Crop and Pasture Biomass and Bioproducts , ANZSRC::090905 Photogrammetry and Remote Sensing
Abstract
New tools are required to provide estimates of pasture biomass as current methods are time consuming and labour intensive. This proof-of-concept study tested the suitability of photogrammetry to estimate pasture height in a grazed dairy pasture. Images were obtained using a digital camera from one site on two separate occasions (May and June 2017). Photogrammetry-derived pasture height was estimated from digital surface models created using the photos. Pasture indices were also measured using two currently available methods: a Rising Plate Meter (RPM), and Normalised Difference Vegetation Index (NDVI). Empirical pasture biomass measurements were taken using destructive sampling after all other measurements were made, and were used to evaluate the accuracy of the estimates from each method. There was a strong linear relationship between photogrammetry-derived plant height and actual biomass (R²=0.92May and 0.78June) and between RPM and actual biomass (R²=0.91May and 0.78June). The relationship between NDVI and actual biomass was relatively weaker (R²=0.65May and 0.66June). Photogrammetry could be an efficient way to measure pasture biomass with an accuracy comparable to that of the RPM but further work is required to confirm these preliminary findings.
Rights
© The Authors and New Zealand Grassland Association 2019
Creative Commons Rights
Attribution-NonCommercial-NoDerivatives
Access Rights