Canadian Forest Service Publications
We must all pay more attention to rigor in accuracy assessment: additional comment to "The improvement of land cover classification by thermal remote sensing". Remote Sensing 2015, 7, 8368-8390. 2016. Castilla, G. Comment in Remote Sensing 2016, 8(4), 288.
Available from: Northern Forestry Centre
Catalog ID: 36657
CFS Availability: PDF (download)
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Despite recent calls for statistically robust and transparent accuracy assessment , further attention to rigor is still needed. Here I take the opportunity of a disputed accuracy assessment recently published in Remote Sensing [2,3,4] to highlight some issues regarding sampling design, response design and analysis that I often find as a reviewer, and that I too have neglected in the past, among them: (i) use of a sampling design that is purposive instead of probability based; (ii) use of suboptimal label allocation procedures for reference data; and (iii) incorrect computation of accuracy estimates and lack of reporting of confidence intervals. Following the good practices in  will enhance the scientific credibility of our discipline.
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