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ISPRS Int. J. Geo-Inf. 2019, 8(1), 48;

Consideration of Level of Confidence within Multi-Approach Satellite-Derived Bathymetry

Canadian Hydrographic Service, Fisheries and Oceans Canada, 200 Kent Street, Ottawa, ON K1A 0E6, Canada
Author to whom correspondence should be addressed.
Received: 4 December 2018 / Revised: 10 January 2019 / Accepted: 16 January 2019 / Published: 19 January 2019
(This article belongs to the Special Issue Geo-Spatial Analysis in Hydrology)
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The Canadian Hydrographic Service (CHS) publishes nautical charts covering all Canadian waters. Through projects with the Canadian Space Agency, CHS has been investigating remote sensing techniques to support hydrographic applications. One challenge CHS has encountered relates to quantifying its confidence in remote sensing products. This is particularly challenging with Satellite-Derived Bathymetry (SDB) where minimal in situ data may be present for validation. This paper proposes a level of confidence approach where a minimum number of SDB techniques are required to agree within a defined level to allow SDB estimates to be retained. The approach was applied to a Canadian Arctic site, incorporating four techniques: empirical, classification and photogrammetric (automatic and manual). Based on International Hydrographic Organization (IHO) guidelines, each individual approach provided results meeting the CATegory of Zones Of Confidence (CATZOC) level C requirement. By applying the level of confidence approach, where technique combinations agreed within 1 m (e.g., all agree, three agree, two agree) large portions of the extracted bathymetry could now meet the CATZOC A2/B requirement. Areas where at least three approaches agreed have an accuracy of 1.2 m and represent 81% of the total surface. The proposed technique not only increases overall accuracy but also removes some of the uncertainty associated with SDB, particularly for locations where in situ validation data is not available. This approach could provide an option for hydrographic offices to increase their confidence in SDB, potentially allowing for increased SDB use within hydrographic products. View Full-Text
Keywords: Canadian Hydrographic Service; Satellite-Derived Bathymetry; empirical; classification; photogrammetry; level of confidence Canadian Hydrographic Service; Satellite-Derived Bathymetry; empirical; classification; photogrammetry; level of confidence

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Chénier, R.; Ahola, R.; Sagram, M.; Faucher, M.-A.; Shelat, Y. Consideration of Level of Confidence within Multi-Approach Satellite-Derived Bathymetry. ISPRS Int. J. Geo-Inf. 2019, 8, 48.

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