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Validating satellite monitoring of dairy pastures in Canterbury with LUDF and commercial data

Mata, G., Purdie, N., Handcock, R., Dalley, D., Ota, N. and Rossi, L. (2011) Validating satellite monitoring of dairy pastures in Canterbury with LUDF and commercial data. In: New Zealand Grassland Association 2011, 8 - 10 November 2011, Gisbourne, NZ

Abstract

We report on the validation of satellite prediction of pasture cover for dairy farms in Canterbury during the 2008 and 2009 milking seasons. Both rain-fed and irrigated pasture phases were modelled presenting new challenges to remote sensing of dairy pastures. Predictions were validated against field estimates from rising plate meter from the Lincoln University Demonstration Farm (LUDF) weekly farm walk data and from 9 commercial farms, across 15 images. Validation results for the LUDF data showed very high coefficients of determination (mean r2 = 0.84, range 0.68-0.97) and low residual standard errors (mean RSE =146, range 53-252). Validation against commercial data showed a higher level of variability between farms and images. Seasonal trends in performance were also observed and possible reasons are discussed. These results demonstrate that the Canterbury model can account for a large proportion of the observed variability in pasture cover of dairy pastures when matched to high quality data.

Publication Type: Conference Paper
Conference Website: http://www.grassland.org.nz/publications/nzgrassla...
URI: http://researchrepository.murdoch.edu.au/id/eprint/35244
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