Journal article
Frost damage assessment in wheat using spectral mixture analysis
GJ Fitzgerald, EM Perry, KC Flower, J Nikolaus Callow, B Boruff, A Delahunty, A Wallace, J Nuttall
Remote Sensing | M D P I AG | Published : 2019
DOI: 10.3390/rs11212476
Open access
Abstract
© 2019 by the authors. Frost damage to broadacre crops can cause up to an 85% loss in productivity. Although growers have few options for crop protection from frost, a rapid method for assessing frost-induced sterility would allow for timely management decisions (e.g., cutting for hay and altering marketing strategies). Spectral mixture analysis (SMA) has shown success in mapping landscape components and was used with hyperspectral data collected on the canopy, heads, and leaves of wheat at different sites to determine if this could quantify frost damage. Spectral libraries were assembled from canopy components collected from local field sites to generate spectral libraries for SMA from whic..
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Awarded by Grains Research and Development Corporation