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Estimating pasture biomass with Planet Labs CubeSats


Asher, M and Raedts, P and Harrison, MT and Hills, J and Rawnsley, RP, Estimating pasture biomass with Planet Labs CubeSats, Proceedings of the 2018 Australasian Dairy Science Symposium, 21-23 November 2018, Palmerston North, New Zealand, pp. 196-198. (2018) [Conference Extract]


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Copyright 2018 CSIRO Publishing

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Dairy farms require efficient monitoring of pasture biomass. However, physical proxy or destructive measurements are time-consuming, subject to sampling and collection error, and cannot characterise spatial biomass within entire paddocks. Until recently, spatial resolution and temporal frequency of satellite data have been insufficient to achieve effective management. We developed a model for biomass prediction based on data from new Planet Labs satellites to evaluate its utility in the context of commercial dairy farming. While the model had minimal residual error on the farm with the highest quality data (RMSE 260 kg/ha), validation of the model on new farms was poor. Accurately estimating biomass for the calibration farm is promising, but further work is necessary to develop a model which extrapolates robustly.

Item Details

Item Type:Conference Extract
Keywords:spatial analysis, PlanetLabs, satellite imagery, Rapid Eye, constellation, pasture biomass, dairy, growth rates, ryegrass, grazing
Research Division:Agricultural, Veterinary and Food Sciences
Research Group:Agriculture, land and farm management
Research Field:Agricultural spatial analysis and modelling
Objective Division:Animal Production and Animal Primary Products
Objective Group:Livestock raising
Objective Field:Dairy cattle
UTAS Author:Raedts, P (Mr Peter Raedts)
UTAS Author:Harrison, MT (Associate Professor Matthew Harrison)
UTAS Author:Hills, J (Dr James Hills)
UTAS Author:Rawnsley, RP (Dr Richard Rawnsley)
ID Code:129477
Year Published:2018
Deposited By:TIA - Research Institute
Deposited On:2018-12-03
Last Modified:2019-12-23
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