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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Format: | Article |
Language: | English |
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MDPI AG
2019-01-01
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Series: | ISPRS International Journal of Geo-Information |
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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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id | doaj.art-dc0257c332854236bb7b991045e6f57c |
institution | Directory Open Access Journal |
issn | 2220-9964 |
language | English |
last_indexed | 2024-12-21T11:42:49Z |
publishDate | 2019-01-01 |
publisher | MDPI AG |
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series | ISPRS International Journal of Geo-Information |
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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