A New Approach to Satellite-Derived Bathymetry: <i>An Exercise in Seabed 2030 Coastal Surveys</i>
ARGANS has years of experience in analysing the factors limiting light transmission in coastal environments around the world. This has led its Satellite-Derived Bathymetry (SDB) team to the conclusion that current satellite instruments and their resolution are unable to provide the absolute precisio...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-09-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/14/18/4484 |
| _version_ | 1797482903716757504 |
|---|---|
| author | Pierre Louvart Harry Cook Chloe Smithers Jean Laporte |
| author_facet | Pierre Louvart Harry Cook Chloe Smithers Jean Laporte |
| author_sort | Pierre Louvart |
| collection | DOAJ |
| description | ARGANS has years of experience in analysing the factors limiting light transmission in coastal environments around the world. This has led its Satellite-Derived Bathymetry (SDB) team to the conclusion that current satellite instruments and their resolution are unable to provide the absolute precision required for safe navigation according to International Hydrographic Bureau (IHO) standards, except in the clearest of waters characterised by sufficiently well-defined environmental parameters. This limitation is caused by the variability itself of the parameters in the radiative transfer equation (RTE), which is too high to provide results within the strict accuracy ranges of IHO S.44, as shown by scatter plots characterised time and again by large biases and standard deviations of several metres. The radiative transfer equation and Hydrolight simulations are not at fault, but their results must be interpreted with extreme caution if the level of accuracy required for safe navigation over large areas is to be guaranteed. Therefore, ARGANS has developed an innovative, alternative method. This is based on the classification of the full range of images pixels allowing for homogeneous sub-areas to be determined and linked together by artificial intelligence and statistical clustering of similar parameters. Thanks to the sponsorship of the European Space Agency and Seabed 2030, ARGANS has been able to test its Water Column Parameter Estimator (WCPE), first in the challenging waters of Madagascar updating over 1000 km of lead line exploratory surveys, then in the South Pacific coral environment and then in the turbid coastal water of Qatar. The parameters determined by WCPE can be extrapolated to unknown regions of similar environment and propagated from one place to the next, using a chain method somewhat inspired by photogrammetric techniques of old. Further progress and automation can be expected from an improved control of sediment plumes that can obscure or distort all optical methods, whether satellite or LIDAR. |
| first_indexed | 2024-03-09T22:39:13Z |
| format | Article |
| id | doaj.art-f17163463d2f463b93e05ac0dadb2bc2 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T22:39:13Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-f17163463d2f463b93e05ac0dadb2bc22023-11-23T18:43:20ZengMDPI AGRemote Sensing2072-42922022-09-011418448410.3390/rs14184484A New Approach to Satellite-Derived Bathymetry: <i>An Exercise in Seabed 2030 Coastal Surveys</i>Pierre Louvart0Harry Cook1Chloe Smithers2Jean Laporte3ARGANS Ltd., Plymouth PL6 8BX, UKARGANS Ltd., Plymouth PL6 8BX, UKARGANS Ltd., Plymouth PL6 8BX, UKARGANS Ltd., Plymouth PL6 8BX, UKARGANS has years of experience in analysing the factors limiting light transmission in coastal environments around the world. This has led its Satellite-Derived Bathymetry (SDB) team to the conclusion that current satellite instruments and their resolution are unable to provide the absolute precision required for safe navigation according to International Hydrographic Bureau (IHO) standards, except in the clearest of waters characterised by sufficiently well-defined environmental parameters. This limitation is caused by the variability itself of the parameters in the radiative transfer equation (RTE), which is too high to provide results within the strict accuracy ranges of IHO S.44, as shown by scatter plots characterised time and again by large biases and standard deviations of several metres. The radiative transfer equation and Hydrolight simulations are not at fault, but their results must be interpreted with extreme caution if the level of accuracy required for safe navigation over large areas is to be guaranteed. Therefore, ARGANS has developed an innovative, alternative method. This is based on the classification of the full range of images pixels allowing for homogeneous sub-areas to be determined and linked together by artificial intelligence and statistical clustering of similar parameters. Thanks to the sponsorship of the European Space Agency and Seabed 2030, ARGANS has been able to test its Water Column Parameter Estimator (WCPE), first in the challenging waters of Madagascar updating over 1000 km of lead line exploratory surveys, then in the South Pacific coral environment and then in the turbid coastal water of Qatar. The parameters determined by WCPE can be extrapolated to unknown regions of similar environment and propagated from one place to the next, using a chain method somewhat inspired by photogrammetric techniques of old. Further progress and automation can be expected from an improved control of sediment plumes that can obscure or distort all optical methods, whether satellite or LIDAR.https://www.mdpi.com/2072-4292/14/18/4484satellite-derived bathymetry (SDB)nautical chartingmachine learningIHO standardsGEBCOSeabed 2030 |
| spellingShingle | Pierre Louvart Harry Cook Chloe Smithers Jean Laporte A New Approach to Satellite-Derived Bathymetry: <i>An Exercise in Seabed 2030 Coastal Surveys</i> Remote Sensing satellite-derived bathymetry (SDB) nautical charting machine learning IHO standards GEBCO Seabed 2030 |
| title | A New Approach to Satellite-Derived Bathymetry: <i>An Exercise in Seabed 2030 Coastal Surveys</i> |
| title_full | A New Approach to Satellite-Derived Bathymetry: <i>An Exercise in Seabed 2030 Coastal Surveys</i> |
| title_fullStr | A New Approach to Satellite-Derived Bathymetry: <i>An Exercise in Seabed 2030 Coastal Surveys</i> |
| title_full_unstemmed | A New Approach to Satellite-Derived Bathymetry: <i>An Exercise in Seabed 2030 Coastal Surveys</i> |
| title_short | A New Approach to Satellite-Derived Bathymetry: <i>An Exercise in Seabed 2030 Coastal Surveys</i> |
| title_sort | new approach to satellite derived bathymetry i an exercise in seabed 2030 coastal surveys i |
| topic | satellite-derived bathymetry (SDB) nautical charting machine learning IHO standards GEBCO Seabed 2030 |
| url | https://www.mdpi.com/2072-4292/14/18/4484 |
| work_keys_str_mv | AT pierrelouvart anewapproachtosatellitederivedbathymetryianexerciseinseabed2030coastalsurveysi AT harrycook anewapproachtosatellitederivedbathymetryianexerciseinseabed2030coastalsurveysi AT chloesmithers anewapproachtosatellitederivedbathymetryianexerciseinseabed2030coastalsurveysi AT jeanlaporte anewapproachtosatellitederivedbathymetryianexerciseinseabed2030coastalsurveysi AT pierrelouvart newapproachtosatellitederivedbathymetryianexerciseinseabed2030coastalsurveysi AT harrycook newapproachtosatellitederivedbathymetryianexerciseinseabed2030coastalsurveysi AT chloesmithers newapproachtosatellitederivedbathymetryianexerciseinseabed2030coastalsurveysi AT jeanlaporte newapproachtosatellitederivedbathymetryianexerciseinseabed2030coastalsurveysi |