Error assessment of validation techniques for estimating suspended particulate matter concentration from airborne multispectral imagery
Significant errors have been reported when transporting algorithms for converting aerial imagery to suspended particulate matter concentration to data collected at different times in different geographical sites. This raises the possibility that the relationships developed are coincidental rather than causal. Determination of the portability of the relationships will allow an assessment of the degree of causality of such algorithms. This paper describes the development of algorithms for two sites in UK coastal waters and the assessment of the errors incurred when porting these algorithms to datasets collected at different seasons and from varying geographical sites. The errors incurred when using algorithms at sites having differing morphologies are considered to be too large for operational use. The high accuracy of transfer to data from the same site at a different season indicates the causality of the relationship derived and allows the recommendation of a way forward for algorithm development.
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