Abstract
Non-contact measurements play a major role in agricultural production. For example, the observant farmer makes maximum use of his visual senses to schedule irrigation, fertilizer, insecticide and herbicide applications. In research, the scientist requires a quantitative interpretation of many of these same casual observations e.g. leaf colour, leaf area index, plant development, leaf orientation. Direct measurements of these plant and canopy attributes are laborious and require a sampling strategy to account for the high spatial variability within plots and fields. Remote sensing offers an opportunity to provide a rapid means of estimating these canopy attributes.
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References
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Kanemasu, E.T., Asrar, G., Fuchs, M. (1985). Application of Remotely Sensed Data in Wheat Growth Modelling. In: Day, W., Atkin, R.K. (eds) Wheat Growth and Modelling. NATO ASI Science, vol 86. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-3665-3_32
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DOI: https://doi.org/10.1007/978-1-4899-3665-3_32
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