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

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 con...

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Main Authors: René Chénier, Ryan Ahola, Mesha Sagram, Marc-André Faucher, Yask Shelat
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:http://www.mdpi.com/2220-9964/8/1/48
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author René Chénier
Ryan Ahola
Mesha Sagram
Marc-André Faucher
Yask Shelat
author_facet René Chénier
Ryan Ahola
Mesha Sagram
Marc-André Faucher
Yask Shelat
author_sort René Chénier
collection DOAJ
description 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.
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spelling doaj.art-dc0257c332854236bb7b991045e6f57c2022-12-21T19:05:15ZengMDPI AGISPRS International Journal of Geo-Information2220-99642019-01-01814810.3390/ijgi8010048ijgi8010048Consideration of Level of Confidence within Multi-Approach Satellite-Derived BathymetryRené Chénier0Ryan Ahola1Mesha Sagram2Marc-André Faucher3Yask Shelat4Canadian Hydrographic Service, Fisheries and Oceans Canada, 200 Kent Street, Ottawa, ON K1A 0E6, CanadaCanadian Hydrographic Service, Fisheries and Oceans Canada, 200 Kent Street, Ottawa, ON K1A 0E6, CanadaCanadian Hydrographic Service, Fisheries and Oceans Canada, 200 Kent Street, Ottawa, ON K1A 0E6, CanadaCanadian Hydrographic Service, Fisheries and Oceans Canada, 200 Kent Street, Ottawa, ON K1A 0E6, CanadaCanadian Hydrographic Service, Fisheries and Oceans Canada, 200 Kent Street, Ottawa, ON K1A 0E6, CanadaThe 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.http://www.mdpi.com/2220-9964/8/1/48Canadian Hydrographic ServiceSatellite-Derived Bathymetryempiricalclassificationphotogrammetrylevel of confidence
spellingShingle René Chénier
Ryan Ahola
Mesha Sagram
Marc-André Faucher
Yask Shelat
Consideration of Level of Confidence within Multi-Approach Satellite-Derived Bathymetry
ISPRS International Journal of Geo-Information
Canadian Hydrographic Service
Satellite-Derived Bathymetry
empirical
classification
photogrammetry
level of confidence
title Consideration of Level of Confidence within Multi-Approach Satellite-Derived Bathymetry
title_full Consideration of Level of Confidence within Multi-Approach Satellite-Derived Bathymetry
title_fullStr Consideration of Level of Confidence within Multi-Approach Satellite-Derived Bathymetry
title_full_unstemmed Consideration of Level of Confidence within Multi-Approach Satellite-Derived Bathymetry
title_short Consideration of Level of Confidence within Multi-Approach Satellite-Derived Bathymetry
title_sort consideration of level of confidence within multi approach satellite derived bathymetry
topic Canadian Hydrographic Service
Satellite-Derived Bathymetry
empirical
classification
photogrammetry
level of confidence
url http://www.mdpi.com/2220-9964/8/1/48
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