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Agronomy 2014, 4(3), 380-396; doi:10.3390/agronomy4030380

Scaling of Thermal Images at Different Spatial Resolution: The Mixed Pixel Problem

1
Division of Plant Science, University of Dundee at the James Hutton Institute, Invergowrie, Dundee DD2 5DA, UK
2
School of Plant Biology, University of Western Australia, Crawley WA 6009, Australia
3
High Resolution Plant Phenomics Centre, CSIRO Plant Industry, Black Mountain Laboratories, Clunies Ross Street, Canberra ACT 2601, Australia
*
Author to whom correspondence should be addressed.
Received: 10 March 2014 / Revised: 2 June 2014 / Accepted: 25 June 2014 / Published: 23 July 2014
(This article belongs to the Special Issue New Phenotyping Platforms for Field Trials)
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Abstract

The consequences of changes in spatial resolution for application of thermal imagery in plant phenotyping in the field are discussed. Where image pixels are significantly smaller than the objects of interest (e.g., leaves), accurate estimates of leaf temperature are possible, but when pixels reach the same scale or larger than the objects of interest, the observed temperatures become significantly biased by the background temperature as a result of the presence of mixed pixels. Approaches to the estimation of the true leaf temperature that apply both at the whole-pixel level and at the sub-pixel level are reviewed and discussed. View Full-Text
Keywords: image aggregation; image disaggregation; mixed pixels; oversampling; super-resolution; up-scaling image aggregation; image disaggregation; mixed pixels; oversampling; super-resolution; up-scaling
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Jones, H.G.; Sirault, X.R.R. Scaling of Thermal Images at Different Spatial Resolution: The Mixed Pixel Problem. Agronomy 2014, 4, 380-396.

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