Nearshore satellite-derived bathymetry from a single-pass satellite video: Improvements from adaptive correlation window size and modulation transfer function

Accurate nearshore bathymetry estimation remains a critical challenge, impacting coastal forecasting evolution assessments through the inaccuracies in both in-situ and remote sensing surveys. This article introduces the Satellite Derived Bathymetry (SDB) temporal correlation method, showcasing its a...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Remote sensing of environment 2024-12, Vol.315, p.114411, Article 114411
Hauptverfasser: Klotz, Adrien N., Almar, Rafael, Quenet, Yohan, Bergsma, Erwin W.J., Youssefi, David, Artigues, Stephanie, Rascle, Nicolas, Sy, Boubou Aldiouma, Ndour, Abdoulaye
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page 114411
container_title Remote sensing of environment
container_volume 315
creator Klotz, Adrien N.
Almar, Rafael
Quenet, Yohan
Bergsma, Erwin W.J.
Youssefi, David
Artigues, Stephanie
Rascle, Nicolas
Sy, Boubou Aldiouma
Ndour, Abdoulaye
description Accurate nearshore bathymetry estimation remains a critical challenge, impacting coastal forecasting evolution assessments through the inaccuracies in both in-situ and remote sensing surveys. This article introduces the Satellite Derived Bathymetry (SDB) temporal correlation method, showcasing its ability in deriving accurate nearshore bathymetry from one minute spaceborne videos. The approach utilises correlation of pixel intensity time series, shifted in time and space, extracted from a frame stack within a defined correlation window. The resulting correlation is then projected using the Radon Transform to infer wave characteristics (celerity and wavelength) for the estimation of depth through wave linear dispersion. Moreover, the adaptation of the correlation window based on a first wavelength estimation provided a more focused assessment of the wavefield that reveals morphological features such as sandbars in the bathymetric estimation. The method’s capabilities using adapted correlation window is illustrated through its application to a metric resolution Jilin satellite video (57 s at 5 Hz) along the Saint-Louis coast in Senegal. Through this demonstration, the temporal correlation method is among the first SDB methods to successfully capture the submerged sandbar along a beach. Comparison against in-situ measurements conducted three years prior to the video acquisition shows a good agreement with a bias of 0.97 m within the initial 2 km of the cross-shore profile. Furthermore, the application of previously developed sky-glint surface elevation analysis on video pixel intensity, prior to the bathymetry estimation, significantly reduces the bias to 0.44 m in the Saint-Louis estimation. This article highlights the potential applications of future Earth observation satellite missions that will capture image sequences (or videos) such as CO3D (CNES/Airbus). •A temporal correlation method for nearshore bathymetry from Jilin spaceborne videos.•Adaptive correlation window based on a wavelength estimation improved the results.•Effective identification of the submerged sandbar on the Saint-Louis beach.•Sky-glint analysis computes surface elevation anomaly from Jilin spaceborne videos.•Using surface elevation anomaly as input of the gives estimate bias of 0.44 m.
doi_str_mv 10.1016/j.rse.2024.114411
format Article
fullrecord <record><control><sourceid>hal_cross</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_04777758v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0034425724004371</els_id><sourcerecordid>oai_HAL_hal_04777758v1</sourcerecordid><originalsourceid>FETCH-LOGICAL-c256t-8043d4ef2d1c2944197037ee1465ea7001e1b96896da1e3d7f77c9f5c2e188e13</originalsourceid><addsrcrecordid>eNp9kcFu2zAQRImgBeKm_YDeeM1BLleiRCk5BUZaGzCaS3smGHIV05BEY8nIcD6m31oJNppb97LA7rwBBsPYVxBLEFB92y8p4jIXuVwCSAlwxRZQqyYTSsgPbCFEITOZl-qafYpxLwSUtYIF-_MTDcVdIOTRJOw6nzBzSH5Ex59N2p16THTiLYWeGx798NJhdjAxvuv56B2GO77pDxRG7HFI8QI4c0iTFbeBCDuTfBj40Q8uHCerN-RmcLwP7vXySmSG2CLx9nWw8-Uz-9iaLuKXy75hv78__lqts-3Tj83qYZvZvKxSVgtZOIlt7sDmzRS_UaJQiCCrEo2a0iI8N1XdVM4AFk61StmmLW2OUNcIxQ27PfvuTKcP5HtDJx2M1-uHrZ5vQqppynqctXDWWgoxErb_ABB6LkPv9VSGnsvQ5zIm5v7M4BRi9Eg6Wo-DRecJbdIu-P_QfwF39pYi</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Nearshore satellite-derived bathymetry from a single-pass satellite video: Improvements from adaptive correlation window size and modulation transfer function</title><source>Elsevier ScienceDirect Journals</source><creator>Klotz, Adrien N. ; Almar, Rafael ; Quenet, Yohan ; Bergsma, Erwin W.J. ; Youssefi, David ; Artigues, Stephanie ; Rascle, Nicolas ; Sy, Boubou Aldiouma ; Ndour, Abdoulaye</creator><creatorcontrib>Klotz, Adrien N. ; Almar, Rafael ; Quenet, Yohan ; Bergsma, Erwin W.J. ; Youssefi, David ; Artigues, Stephanie ; Rascle, Nicolas ; Sy, Boubou Aldiouma ; Ndour, Abdoulaye</creatorcontrib><description>Accurate nearshore bathymetry estimation remains a critical challenge, impacting coastal forecasting evolution assessments through the inaccuracies in both in-situ and remote sensing surveys. This article introduces the Satellite Derived Bathymetry (SDB) temporal correlation method, showcasing its ability in deriving accurate nearshore bathymetry from one minute spaceborne videos. The approach utilises correlation of pixel intensity time series, shifted in time and space, extracted from a frame stack within a defined correlation window. The resulting correlation is then projected using the Radon Transform to infer wave characteristics (celerity and wavelength) for the estimation of depth through wave linear dispersion. Moreover, the adaptation of the correlation window based on a first wavelength estimation provided a more focused assessment of the wavefield that reveals morphological features such as sandbars in the bathymetric estimation. The method’s capabilities using adapted correlation window is illustrated through its application to a metric resolution Jilin satellite video (57 s at 5 Hz) along the Saint-Louis coast in Senegal. Through this demonstration, the temporal correlation method is among the first SDB methods to successfully capture the submerged sandbar along a beach. Comparison against in-situ measurements conducted three years prior to the video acquisition shows a good agreement with a bias of 0.97 m within the initial 2 km of the cross-shore profile. Furthermore, the application of previously developed sky-glint surface elevation analysis on video pixel intensity, prior to the bathymetry estimation, significantly reduces the bias to 0.44 m in the Saint-Louis estimation. This article highlights the potential applications of future Earth observation satellite missions that will capture image sequences (or videos) such as CO3D (CNES/Airbus). •A temporal correlation method for nearshore bathymetry from Jilin spaceborne videos.•Adaptive correlation window based on a wavelength estimation improved the results.•Effective identification of the submerged sandbar on the Saint-Louis beach.•Sky-glint analysis computes surface elevation anomaly from Jilin spaceborne videos.•Using surface elevation anomaly as input of the gives estimate bias of 0.44 m.</description><identifier>ISSN: 0034-4257</identifier><identifier>EISSN: 1879-0704</identifier><identifier>DOI: 10.1016/j.rse.2024.114411</identifier><language>eng</language><publisher>Elsevier Inc</publisher><subject>Bathymetry ; Coastal earth observations ; Jilin ; Optical remote sensing ; Satellite video ; Sciences of the Universe ; Temporal correlation</subject><ispartof>Remote sensing of environment, 2024-12, Vol.315, p.114411, Article 114411</ispartof><rights>2024 The Authors</rights><rights>Attribution</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c256t-8043d4ef2d1c2944197037ee1465ea7001e1b96896da1e3d7f77c9f5c2e188e13</cites><orcidid>0000-0001-9959-1119 ; 0000-0002-9042-4717 ; 0000-0002-7638-1108 ; 0000-0001-5842-658X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0034425724004371$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://hal.science/hal-04777758$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Klotz, Adrien N.</creatorcontrib><creatorcontrib>Almar, Rafael</creatorcontrib><creatorcontrib>Quenet, Yohan</creatorcontrib><creatorcontrib>Bergsma, Erwin W.J.</creatorcontrib><creatorcontrib>Youssefi, David</creatorcontrib><creatorcontrib>Artigues, Stephanie</creatorcontrib><creatorcontrib>Rascle, Nicolas</creatorcontrib><creatorcontrib>Sy, Boubou Aldiouma</creatorcontrib><creatorcontrib>Ndour, Abdoulaye</creatorcontrib><title>Nearshore satellite-derived bathymetry from a single-pass satellite video: Improvements from adaptive correlation window size and modulation transfer function</title><title>Remote sensing of environment</title><description>Accurate nearshore bathymetry estimation remains a critical challenge, impacting coastal forecasting evolution assessments through the inaccuracies in both in-situ and remote sensing surveys. This article introduces the Satellite Derived Bathymetry (SDB) temporal correlation method, showcasing its ability in deriving accurate nearshore bathymetry from one minute spaceborne videos. The approach utilises correlation of pixel intensity time series, shifted in time and space, extracted from a frame stack within a defined correlation window. The resulting correlation is then projected using the Radon Transform to infer wave characteristics (celerity and wavelength) for the estimation of depth through wave linear dispersion. Moreover, the adaptation of the correlation window based on a first wavelength estimation provided a more focused assessment of the wavefield that reveals morphological features such as sandbars in the bathymetric estimation. The method’s capabilities using adapted correlation window is illustrated through its application to a metric resolution Jilin satellite video (57 s at 5 Hz) along the Saint-Louis coast in Senegal. Through this demonstration, the temporal correlation method is among the first SDB methods to successfully capture the submerged sandbar along a beach. Comparison against in-situ measurements conducted three years prior to the video acquisition shows a good agreement with a bias of 0.97 m within the initial 2 km of the cross-shore profile. Furthermore, the application of previously developed sky-glint surface elevation analysis on video pixel intensity, prior to the bathymetry estimation, significantly reduces the bias to 0.44 m in the Saint-Louis estimation. This article highlights the potential applications of future Earth observation satellite missions that will capture image sequences (or videos) such as CO3D (CNES/Airbus). •A temporal correlation method for nearshore bathymetry from Jilin spaceborne videos.•Adaptive correlation window based on a wavelength estimation improved the results.•Effective identification of the submerged sandbar on the Saint-Louis beach.•Sky-glint analysis computes surface elevation anomaly from Jilin spaceborne videos.•Using surface elevation anomaly as input of the gives estimate bias of 0.44 m.</description><subject>Bathymetry</subject><subject>Coastal earth observations</subject><subject>Jilin</subject><subject>Optical remote sensing</subject><subject>Satellite video</subject><subject>Sciences of the Universe</subject><subject>Temporal correlation</subject><issn>0034-4257</issn><issn>1879-0704</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kcFu2zAQRImgBeKm_YDeeM1BLleiRCk5BUZaGzCaS3smGHIV05BEY8nIcD6m31oJNppb97LA7rwBBsPYVxBLEFB92y8p4jIXuVwCSAlwxRZQqyYTSsgPbCFEITOZl-qafYpxLwSUtYIF-_MTDcVdIOTRJOw6nzBzSH5Ex59N2p16THTiLYWeGx798NJhdjAxvuv56B2GO77pDxRG7HFI8QI4c0iTFbeBCDuTfBj40Q8uHCerN-RmcLwP7vXySmSG2CLx9nWw8-Uz-9iaLuKXy75hv78__lqts-3Tj83qYZvZvKxSVgtZOIlt7sDmzRS_UaJQiCCrEo2a0iI8N1XdVM4AFk61StmmLW2OUNcIxQ27PfvuTKcP5HtDJx2M1-uHrZ5vQqppynqctXDWWgoxErb_ABB6LkPv9VSGnsvQ5zIm5v7M4BRi9Eg6Wo-DRecJbdIu-P_QfwF39pYi</recordid><startdate>20241215</startdate><enddate>20241215</enddate><creator>Klotz, Adrien N.</creator><creator>Almar, Rafael</creator><creator>Quenet, Yohan</creator><creator>Bergsma, Erwin W.J.</creator><creator>Youssefi, David</creator><creator>Artigues, Stephanie</creator><creator>Rascle, Nicolas</creator><creator>Sy, Boubou Aldiouma</creator><creator>Ndour, Abdoulaye</creator><general>Elsevier Inc</general><general>Elsevier</general><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0001-9959-1119</orcidid><orcidid>https://orcid.org/0000-0002-9042-4717</orcidid><orcidid>https://orcid.org/0000-0002-7638-1108</orcidid><orcidid>https://orcid.org/0000-0001-5842-658X</orcidid></search><sort><creationdate>20241215</creationdate><title>Nearshore satellite-derived bathymetry from a single-pass satellite video: Improvements from adaptive correlation window size and modulation transfer function</title><author>Klotz, Adrien N. ; Almar, Rafael ; Quenet, Yohan ; Bergsma, Erwin W.J. ; Youssefi, David ; Artigues, Stephanie ; Rascle, Nicolas ; Sy, Boubou Aldiouma ; Ndour, Abdoulaye</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c256t-8043d4ef2d1c2944197037ee1465ea7001e1b96896da1e3d7f77c9f5c2e188e13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Bathymetry</topic><topic>Coastal earth observations</topic><topic>Jilin</topic><topic>Optical remote sensing</topic><topic>Satellite video</topic><topic>Sciences of the Universe</topic><topic>Temporal correlation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Klotz, Adrien N.</creatorcontrib><creatorcontrib>Almar, Rafael</creatorcontrib><creatorcontrib>Quenet, Yohan</creatorcontrib><creatorcontrib>Bergsma, Erwin W.J.</creatorcontrib><creatorcontrib>Youssefi, David</creatorcontrib><creatorcontrib>Artigues, Stephanie</creatorcontrib><creatorcontrib>Rascle, Nicolas</creatorcontrib><creatorcontrib>Sy, Boubou Aldiouma</creatorcontrib><creatorcontrib>Ndour, Abdoulaye</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>CrossRef</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Remote sensing of environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Klotz, Adrien N.</au><au>Almar, Rafael</au><au>Quenet, Yohan</au><au>Bergsma, Erwin W.J.</au><au>Youssefi, David</au><au>Artigues, Stephanie</au><au>Rascle, Nicolas</au><au>Sy, Boubou Aldiouma</au><au>Ndour, Abdoulaye</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Nearshore satellite-derived bathymetry from a single-pass satellite video: Improvements from adaptive correlation window size and modulation transfer function</atitle><jtitle>Remote sensing of environment</jtitle><date>2024-12-15</date><risdate>2024</risdate><volume>315</volume><spage>114411</spage><pages>114411-</pages><artnum>114411</artnum><issn>0034-4257</issn><eissn>1879-0704</eissn><abstract>Accurate nearshore bathymetry estimation remains a critical challenge, impacting coastal forecasting evolution assessments through the inaccuracies in both in-situ and remote sensing surveys. This article introduces the Satellite Derived Bathymetry (SDB) temporal correlation method, showcasing its ability in deriving accurate nearshore bathymetry from one minute spaceborne videos. The approach utilises correlation of pixel intensity time series, shifted in time and space, extracted from a frame stack within a defined correlation window. The resulting correlation is then projected using the Radon Transform to infer wave characteristics (celerity and wavelength) for the estimation of depth through wave linear dispersion. Moreover, the adaptation of the correlation window based on a first wavelength estimation provided a more focused assessment of the wavefield that reveals morphological features such as sandbars in the bathymetric estimation. The method’s capabilities using adapted correlation window is illustrated through its application to a metric resolution Jilin satellite video (57 s at 5 Hz) along the Saint-Louis coast in Senegal. Through this demonstration, the temporal correlation method is among the first SDB methods to successfully capture the submerged sandbar along a beach. Comparison against in-situ measurements conducted three years prior to the video acquisition shows a good agreement with a bias of 0.97 m within the initial 2 km of the cross-shore profile. Furthermore, the application of previously developed sky-glint surface elevation analysis on video pixel intensity, prior to the bathymetry estimation, significantly reduces the bias to 0.44 m in the Saint-Louis estimation. This article highlights the potential applications of future Earth observation satellite missions that will capture image sequences (or videos) such as CO3D (CNES/Airbus). •A temporal correlation method for nearshore bathymetry from Jilin spaceborne videos.•Adaptive correlation window based on a wavelength estimation improved the results.•Effective identification of the submerged sandbar on the Saint-Louis beach.•Sky-glint analysis computes surface elevation anomaly from Jilin spaceborne videos.•Using surface elevation anomaly as input of the gives estimate bias of 0.44 m.</abstract><pub>Elsevier Inc</pub><doi>10.1016/j.rse.2024.114411</doi><orcidid>https://orcid.org/0000-0001-9959-1119</orcidid><orcidid>https://orcid.org/0000-0002-9042-4717</orcidid><orcidid>https://orcid.org/0000-0002-7638-1108</orcidid><orcidid>https://orcid.org/0000-0001-5842-658X</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0034-4257
ispartof Remote sensing of environment, 2024-12, Vol.315, p.114411, Article 114411
issn 0034-4257
1879-0704
language eng
recordid cdi_hal_primary_oai_HAL_hal_04777758v1
source Elsevier ScienceDirect Journals
subjects Bathymetry
Coastal earth observations
Jilin
Optical remote sensing
Satellite video
Sciences of the Universe
Temporal correlation
title Nearshore satellite-derived bathymetry from a single-pass satellite video: Improvements from adaptive correlation window size and modulation transfer function
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T23%3A21%3A00IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-hal_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Nearshore%20satellite-derived%20bathymetry%20from%20a%20single-pass%20satellite%20video:%20Improvements%20from%20adaptive%20correlation%20window%20size%20and%20modulation%20transfer%20function&rft.jtitle=Remote%20sensing%20of%20environment&rft.au=Klotz,%20Adrien%20N.&rft.date=2024-12-15&rft.volume=315&rft.spage=114411&rft.pages=114411-&rft.artnum=114411&rft.issn=0034-4257&rft.eissn=1879-0704&rft_id=info:doi/10.1016/j.rse.2024.114411&rft_dat=%3Chal_cross%3Eoai_HAL_hal_04777758v1%3C/hal_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_els_id=S0034425724004371&rfr_iscdi=true