Near Real-Time Monitoring of Muddy Intertidal Zones Based on Spatiotemporal Fusion of Optical Satellites Data
The investigation of the evolution of intertidal zones is a significant and extensively discussed subject in estuary and coastal research, both nationally and internationally. Recent advances in real-time global satellite products, such as GOCI, provide a potential approach for monitoring intertidal...
Saved in:
| Published in | IEEE journal of selected topics in applied earth observations and remote sensing Vol. 17; pp. 1 - 16 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Piscataway
IEEE
01.01.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1939-1404 2151-1535 |
| DOI | 10.1109/JSTARS.2023.3339339 |
Cover
Loading…
| Abstract | The investigation of the evolution of intertidal zones is a significant and extensively discussed subject in estuary and coastal research, both nationally and internationally. Recent advances in real-time global satellite products, such as GOCI, provide a potential approach for monitoring intertidal zones by utilizing waterline inversion based on spatial distribution processes. While these products offer potential for monitoring intertidal zones through waterline inversion based on spatial distribution processes, they often suffer from coarse spatial resolution that smooths critical spatial heterogeneity. To overcome this limitation, a flexible spatiotemporal fusion model was employed to generate hourly time-series images with a spatial resolution of 10 meters. This was achieved by combining Sentinel-2 satellite data (10m spatial resolution; 5-day revisit frequency) and GOCI-II data (500 m spatial resolution; 1-hour revisit frequency). The resulting fusion images were used to construct an intertidal pseudo-digital elevation model (DEM) by extracting waterlines and incorporating tidal level information. The accuracy of the DEM was validated using surveyed real-time kinematic (RTK) and drone data, with a root mean square error of 0.28m. Analysis of the annual accretion and erosion evolution in the intertidal zone for the year 2023 revealed significant erosion in the central part of the zone, with a maximum erosion depth of 1m at the bottom. This study contributes to the understanding of the response processes and mechanisms of the intertidal zone to natural and human disturbances, thus supporting coastal planning projects related to the intertidal zone. |
|---|---|
| AbstractList | The investigation of the evolution of intertidal zones is a significant and extensively discussed subject in estuary and coastal research, both nationally and internationally. Recent advances in real-time global satellite products, such as GOCI, provide a potential approach for monitoring intertidal zones by utilizing waterline inversion based on spatial distribution processes. While these products offer potential for monitoring intertidal zones through waterline inversion based on spatial distribution processes, they often suffer from coarse spatial resolution that smooths critical spatial heterogeneity. To overcome this limitation, a flexible spatiotemporal fusion model was employed to generate hourly time-series images with a spatial resolution of 10 meters. This was achieved by combining Sentinel-2 satellite data (10m spatial resolution; 5-day revisit frequency) and GOCI-II data (500 m spatial resolution; 1-hour revisit frequency). The resulting fusion images were used to construct an intertidal pseudo-digital elevation model (DEM) by extracting waterlines and incorporating tidal level information. The accuracy of the DEM was validated using surveyed real-time kinematic (RTK) and drone data, with a root mean square error of 0.28m. Analysis of the annual accretion and erosion evolution in the intertidal zone for the year 2023 revealed significant erosion in the central part of the zone, with a maximum erosion depth of 1m at the bottom. This study contributes to the understanding of the response processes and mechanisms of the intertidal zone to natural and human disturbances, thus supporting coastal planning projects related to the intertidal zone. The investigation of the evolution of intertidal zones is a significant and extensively discussed subject in estuary and coastal research, both nationally and internationally. Recent advances in real-time global satellite products, such as GOCI, provide a potential approach for monitoring intertidal zones by utilizing waterline inversion based on spatial distribution processes. While these products offer the potential for monitoring intertidal zones through waterline inversion based on spatial distribution processes, they often suffer from coarse spatial resolution that smooths critical spatial heterogeneity. To overcome this limitation, a flexible spatiotemporal fusion model was employed to generate hourly time-series images with a spatial resolution of 10 m. This was achieved by combining Sentinel-2 satellite data (10 m spatial resolution; five-day revisit frequency) and GOCI-II data (500 m spatial resolution; 1-h revisit frequency). The resulting fusion images were used to construct an intertidal pseudodigital elevation model (DEM) by extracting waterlines and incorporating tidal-level information. The accuracy of the DEM was validated using surveyed real-time kinematic and drone data, with a root-mean-square error of 0.28 m. The analysis of the annual accretion and erosion evolution in the intertidal zone for the year 2023 revealed significant erosion in the central part of the zone, with a maximum erosion depth of 1 m at the bottom. This study contributes to the understanding of the response processes and mechanisms of the intertidal zone to natural and human disturbances, thus supporting coastal planning projects related to the intertidal zone. |
| Author | Zhu, Shibing Gu, Yan Wang, Ya Ping Chen, Ziyao Chen, Jianchun Li, Mingliang |
| Author_xml | – sequence: 1 givenname: Yan surname: Gu fullname: Gu, Yan organization: School of Geography and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing, China – sequence: 2 givenname: Jianchun surname: Chen fullname: Chen, Jianchun organization: School of Geography and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing, China – sequence: 3 givenname: Ziyao surname: Chen fullname: Chen, Ziyao organization: School of Geography and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing, China – sequence: 4 givenname: Mingliang surname: Li fullname: Li, Mingliang organization: School of Geography and Marine Science, Nanjing University, Nanjing, China – sequence: 5 givenname: Shibing surname: Zhu fullname: Zhu, Shibing organization: School of Geography and Marine Science, Nanjing University, Nanjing, China – sequence: 6 givenname: Ya Ping surname: Wang fullname: Wang, Ya Ping organization: State Key Laboratory of Estuarine and Coastal Research, School of Marine Sciences, East China Normal University, Shanghai, China |
| BookMark | eNqFkUFvEzEQhS1UJNLCL4DDSpw32B6vNz6W0kJQS6UmXLhYk_Vs5WizXmzn0H-Pw1YIcUGyZOnNfPPGfufsbAwjMfZW8KUQ3Hz4utlePmyWkktYAoAp5wVbSNGIWjTQnLGFMGBqobh6xc5T2nOuZWtgwQ7fCGP1QDjUW3-g6i6MPofox8cq9NXd0bmnaj1mitk7HKofxTdVHzGRq8JYbSbMPmQ6TCGW6s0x-aIW8H7KvivKBjMNg88F-oQZX7OXPQ6J3jzfF-z7zfX26kt9e_95fXV5W3eKm1z3vROat1rpBoVRYuccIeje8X6FvN0JCUCy0b1GAdAqIVZGgdnxooDhCi7Yep7rAu7tFP0B45MN6O1vIcRHi-VF3UAWQAvtlHQghZJA2AFxcBJWuuuV2ZVZ7-dZUww_j5Sy3YdjHMv6VhavsmfTitIFc1cXQ0qR-j-ugttTRnbOyJ4yss8ZFcr8Q3U-n750zBH98B_23cx6IvrLDZRsFcAvS0GgfA |
| CODEN | IJSTHZ |
| CitedBy_id | crossref_primary_10_1007_s00367_024_00793_2 |
| Cites_doi | 10.1016/j.rse.2018.11.030 10.1109/TGRS.2020.2999943 10.1080/014311697216810 10.1016/j.margeo.2011.06.006 10.1016/j.envsoft.2019.104528 10.3390/rs10121918 10.1016/j.rse.2022.113111 10.3390/hydrology10030070 10.1016/j.geomorph.2015.05.007 10.1016/j.rse.2010.05.032 10.3390/w15091679 10.3390/s150924002 10.1007/s11434-006-0341-z 10.1016/j.rse.2020.112020 10.1016/j.csr.2017.01.013 10.3390/rs15133323 10.3389/fmars.2021.761368 10.3390/rs10040527 10.1029/95GL03168 10.3390/rs10020297 10.1080/01431161.2016.1271471 10.1016/j.rse.2018.02.009 10.1016/j.rsase.2021.100499 10.1038/s41467-017-02142-7 10.1016/j.jag.2017.10.007 10.3390/rs9010021 10.1016/j.rse.2019.03.012 10.1016/j.rse.2015.11.016 10.1017/cft.2022.4 10.1016/j.ecss.2019.03.006 10.1002/ecy.2757 10.1109/TGRS.2008.2008908 10.1109/TGRS.2023.3283614 10.5194/isprs-annals-X-3-W1-2022-77-2022 10.3390/w14203287 10.1007/s13344-012-0035-z 10.1029/2020GL089612 10.1016/j.isprsjprs.2014.12.009 10.1016/j.scitotenv.2020.144237 10.1016/j.inffus.2022.09.008 10.1109/TGRS.2016.2619067 10.1016/j.rse.2014.02.003 10.1080/15481603.2020.1846948 10.1016/j.ecss.2008.01.020 10.3390/rs10020158 10.1109/TSMC.1979.4310076 10.3390/rs11192212 10.1007/s44218-022-00012-4 10.1038/s41598-018-30904-w 10.1109/tgrs.2021.3080384 10.3390/rs5116138 10.1109/TGRS.2009.2031843 10.1016/j.earscirev.2019.103029 10.1016/j.margeo.2008.10.006 10.1109/tgrs.2006.872081 10.34133/2022/9793626 10.1109/tgrs.2021.3097093 10.1038/nature12856 10.1016/j.geomorph.2021.107683 10.1016/j.margeo.2016.10.013 10.3390/rs5126346 10.1109/JSTARS.2018.2797894 10.1007/s12524-020-01291-5 10.1080/15481603.2022.2036054 10.3390/rs14236035 10.3390/rs9100990 10.1016/S0098-3004(02)00013-4 10.1109/TGRS.2019.2894850 10.3389/feart.2022.908351 10.1016/j.wse.2021.07.002 |
| ContentType | Journal Article |
| Copyright | Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024 |
| Copyright_xml | – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024 |
| DBID | 97E ESBDL RIA RIE AAYXX CITATION 7UA 8FD C1K F1W FR3 H8D H96 KR7 L.G L7M DOA |
| DOI | 10.1109/JSTARS.2023.3339339 |
| DatabaseName | IEEE All-Society Periodicals Package (ASPP) 2005-present IEEE Open Access Journals IEEE All-Society Periodicals Package (ASPP) 1998-Present IEEE Electronic Library (IEL) CrossRef Water Resources Abstracts Technology Research Database Environmental Sciences and Pollution Management ASFA: Aquatic Sciences and Fisheries Abstracts Engineering Research Database Aerospace Database Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources Civil Engineering Abstracts Aquatic Science & Fisheries Abstracts (ASFA) Professional Advanced Technologies Database with Aerospace Acceso a contenido Full Text - Doaj |
| DatabaseTitle | CrossRef Aerospace Database Civil Engineering Abstracts Aquatic Science & Fisheries Abstracts (ASFA) Professional Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources Technology Research Database ASFA: Aquatic Sciences and Fisheries Abstracts Engineering Research Database Advanced Technologies Database with Aerospace Water Resources Abstracts Environmental Sciences and Pollution Management |
| DatabaseTitleList | Aerospace Database |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: RIE name: IEEE Electronic Library (IEL) url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/ sourceTypes: Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Geology |
| EISSN | 2151-1535 |
| EndPage | 16 |
| ExternalDocumentID | oai_doaj_org_article_33616d42d321423eac3e03d2386cf49b 10_1109_JSTARS_2023_3339339 10342743 |
| Genre | orig-research |
| GroupedDBID | 0R~ 29I 4.4 5GY 5VS 6IK 97E AAFWJ AAJGR AASAJ AAWTH ABAZT ABVLG ACIWK AENEX AFPKN AFRAH ALMA_UNASSIGNED_HOLDINGS BEFXN BFFAM BGNUA BKEBE BPEOZ DU5 EBS ESBDL GROUPED_DOAJ HZ~ IFIPE IPLJI JAVBF M43 O9- OCL OK1 RIA RIE RNS AAYXX AETIX AGSQL CITATION EJD RIG 7UA 8FD C1K F1W FR3 H8D H96 KR7 L.G L7M |
| ID | FETCH-LOGICAL-c409t-ffd16076465a1941bddea36fd0f8a07b1233e256f6a133741189439b06f639043 |
| IEDL.DBID | RIE |
| ISSN | 1939-1404 |
| IngestDate | Wed Aug 27 01:30:00 EDT 2025 Mon Jul 28 13:50:37 EDT 2025 Tue Jul 01 03:16:30 EDT 2025 Thu Apr 24 22:50:59 EDT 2025 Wed Aug 27 02:37:42 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Language | English |
| License | https://creativecommons.org/licenses/by-nc-nd/4.0 |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c409t-ffd16076465a1941bddea36fd0f8a07b1233e256f6a133741189439b06f639043 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ORCID | 0000-0002-8771-465X 0009-0007-3593-1189 0009-0001-0729-8503 0009-0003-4386-2305 0009-0005-1911-7027 0009-0005-7437-1722 |
| OpenAccessLink | https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/document/10342743 |
| PQID | 2904607571 |
| PQPubID | 75722 |
| PageCount | 16 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_33616d42d321423eac3e03d2386cf49b ieee_primary_10342743 crossref_primary_10_1109_JSTARS_2023_3339339 proquest_journals_2904607571 crossref_citationtrail_10_1109_JSTARS_2023_3339339 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2024-01-01 |
| PublicationDateYYYYMMDD | 2024-01-01 |
| PublicationDate_xml | – month: 01 year: 2024 text: 2024-01-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationPlace | Piscataway |
| PublicationPlace_xml | – name: Piscataway |
| PublicationTitle | IEEE journal of selected topics in applied earth observations and remote sensing |
| PublicationTitleAbbrev | JSTARS |
| PublicationYear | 2024 |
| Publisher | IEEE The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher_xml | – name: IEEE – name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| References | ref13 ref57 ref12 ref56 ref15 ref59 ref14 ref58 ref53 ref52 ref11 ref55 ref10 ref54 ref17 ref16 ref19 ref18 ref51 ref50 ref46 ref45 ref48 ref47 ref42 ref41 ref44 ref43 ref49 ref8 ref7 ref9 ref4 ref3 ref6 ref5 ref40 ref35 ref34 ref37 ref36 ref31 ref30 ref33 ref32 ref2 ref1 ref39 ref38 ref70 ref24 ref68 ref23 ref67 ref26 ref25 ref69 ref20 ref64 ref63 ref22 ref66 ref21 ref65 ref28 ref27 ref29 ref60 ref62 ref61 |
| References_xml | – ident: ref17 doi: 10.1016/j.rse.2018.11.030 – ident: ref46 doi: 10.1109/TGRS.2020.2999943 – ident: ref52 doi: 10.1080/014311697216810 – ident: ref67 doi: 10.1016/j.margeo.2011.06.006 – ident: ref15 doi: 10.1016/j.envsoft.2019.104528 – ident: ref43 doi: 10.3390/rs10121918 – ident: ref41 doi: 10.1016/j.rse.2022.113111 – ident: ref53 doi: 10.3390/hydrology10030070 – ident: ref18 doi: 10.1016/j.geomorph.2015.05.007 – ident: ref31 doi: 10.1016/j.rse.2010.05.032 – ident: ref61 doi: 10.3390/w15091679 – ident: ref26 doi: 10.3390/s150924002 – ident: ref47 doi: 10.1007/s11434-006-0341-z – ident: ref44 doi: 10.1016/j.rse.2020.112020 – ident: ref59 doi: 10.1016/j.csr.2017.01.013 – ident: ref69 doi: 10.3390/rs15133323 – ident: ref63 doi: 10.3389/fmars.2021.761368 – ident: ref23 doi: 10.3390/rs10040527 – ident: ref55 doi: 10.1029/95GL03168 – ident: ref22 doi: 10.3390/rs10020297 – ident: ref34 doi: 10.1080/01431161.2016.1271471 – ident: ref60 doi: 10.1016/j.rse.2018.02.009 – ident: ref19 doi: 10.1016/j.rsase.2021.100499 – ident: ref70 doi: 10.1038/s41467-017-02142-7 – ident: ref8 doi: 10.1016/j.jag.2017.10.007 – ident: ref24 doi: 10.3390/rs9010021 – ident: ref40 doi: 10.1016/j.rse.2019.03.012 – ident: ref39 doi: 10.1016/j.rse.2015.11.016 – ident: ref13 doi: 10.1017/cft.2022.4 – ident: ref65 doi: 10.1016/j.ecss.2019.03.006 – ident: ref4 doi: 10.1002/ecy.2757 – ident: ref11 doi: 10.1109/TGRS.2008.2008908 – ident: ref50 doi: 10.1109/TGRS.2023.3283614 – ident: ref27 doi: 10.5194/isprs-annals-X-3-W1-2022-77-2022 – ident: ref37 doi: 10.3390/w14203287 – ident: ref9 doi: 10.1007/s13344-012-0035-z – ident: ref68 doi: 10.1029/2020GL089612 – ident: ref14 doi: 10.1016/j.isprsjprs.2014.12.009 – ident: ref64 doi: 10.1016/j.scitotenv.2020.144237 – ident: ref29 doi: 10.1016/j.inffus.2022.09.008 – ident: ref5 doi: 10.1109/TGRS.2016.2619067 – ident: ref33 doi: 10.1016/j.rse.2014.02.003 – ident: ref2 doi: 10.1080/15481603.2020.1846948 – ident: ref16 doi: 10.1016/j.ecss.2008.01.020 – ident: ref35 doi: 10.3390/rs10020158 – ident: ref54 doi: 10.1109/TSMC.1979.4310076 – ident: ref21 doi: 10.3390/rs11192212 – ident: ref48 doi: 10.1007/s44218-022-00012-4 – ident: ref62 doi: 10.1038/s41598-018-30904-w – ident: ref38 doi: 10.1109/tgrs.2021.3080384 – ident: ref20 doi: 10.3390/rs5116138 – ident: ref12 doi: 10.1109/TGRS.2009.2031843 – ident: ref3 doi: 10.1016/j.earscirev.2019.103029 – ident: ref7 doi: 10.1016/j.margeo.2008.10.006 – ident: ref30 doi: 10.1109/tgrs.2006.872081 – ident: ref58 doi: 10.34133/2022/9793626 – ident: ref10 doi: 10.1109/tgrs.2021.3097093 – ident: ref1 doi: 10.1038/nature12856 – ident: ref45 doi: 10.1016/j.geomorph.2021.107683 – ident: ref57 doi: 10.1016/j.margeo.2016.10.013 – ident: ref32 doi: 10.3390/rs5126346 – ident: ref28 doi: 10.1109/JSTARS.2018.2797894 – ident: ref49 doi: 10.1007/s12524-020-01291-5 – ident: ref42 doi: 10.1080/15481603.2022.2036054 – ident: ref6 doi: 10.3390/rs14236035 – ident: ref25 doi: 10.3390/rs9100990 – ident: ref51 doi: 10.1016/S0098-3004(02)00013-4 – ident: ref36 doi: 10.1109/TGRS.2019.2894850 – ident: ref56 doi: 10.3389/feart.2022.908351 – ident: ref66 doi: 10.1016/j.wse.2021.07.002 |
| SSID | ssj0062793 |
| Score | 2.3483312 |
| Snippet | The investigation of the evolution of intertidal zones is a significant and extensively discussed subject in estuary and coastal research, both nationally and... |
| SourceID | doaj proquest crossref ieee |
| SourceType | Open Website Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 1 |
| SubjectTerms | Accretion Coastal research Deposition Digital Elevation Models Distribution Environment monitoring Erosion Estuaries Estuarine dynamics Evolution flexible spatiotemporal data fusion (FSDAF) Frequency dependence FSDAF GOCI-II Heterogeneity Human impact Intertidal environment Intertidal zone Kinematics Monitoring Muddy intertidal zone Optical satellites Patchiness Real time Remote sensing Satellites Sea measurements Spatial discrimination Spatial distribution Spatial heterogeneity Spatial resolution Spatiotemporal Fusion Spatiotemporal phenomena Terrain inversion |
| SummonAdditionalLinks | – databaseName: Acceso a contenido Full Text - Doaj dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LSwMxEA4iCF7ER8X6IgePbk02abY5WrUWwQqtgngJyWYDgrai24P_3plsKoqgF69LsslOJjPzzSbfEHJUhly7Mg8ZcwIAinUq61kvMx9ULr2WgWm8KHw9UsM7eXXfvf9S6gvPhDX0wI3gToRQXHmZe6yokwuwE6JiwoOnUWWQ2qH1BZ-3AFONDVY5qF3iGOJMn4CSn44nHSwV3hFCAIjX3_xQpOtP9VV-GOXoaQbrZC2FiPS0mdoGWaqmm2TlMpbgfd8izyNQTjqGAC_D-xu02ZWYnqOzQK_n3r_TmOerHz285gHJ-GkfnJWnsymdxBPUiZDqiQ7mmC3DjjcvMatNJzZydEIESs9tbVvkbnBxezbMUtGErASoVmcheOSMU1J1LdeSO7BfVqjgWehZVjjwVKKCOCcoC_AU4gmODOzaMXgiNJNimyxPYWY7hMqK8UoCfgtBywIiGc5sEZzrWV4wXYQ2yRciNGViFMfCFk8mIgumTSN3g3I3Se5tcvzZ6aUh1Pi9eR_X5rMpsmHHB6AjJumI-UtH2qSFK_tlPCEBjYs22V8stUlb983kGv8VF92C7_7H2HtkFb5HNlmbfbJcv86rA4hjancYVfYD2PXqwQ priority: 102 providerName: Directory of Open Access Journals |
| Title | Near Real-Time Monitoring of Muddy Intertidal Zones Based on Spatiotemporal Fusion of Optical Satellites Data |
| URI | https://ieeexplore.ieee.org/document/10342743 https://www.proquest.com/docview/2904607571 https://doaj.org/article/33616d42d321423eac3e03d2386cf49b |
| Volume | 17 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1RTxQxEJ4ACYkvCojxFEkffHTXdtvrXh8BOYkJR8JJQnzZtNs2McAdwd0H_PXOdHtEIRrfNk27281MO99MO98AvG9jZVxbxYI7iQ6KdbqYWK8KH3WlvFGRG0oUPp3pkwv15XJ8mZPVUy5MCCFdPgslPaazfL9sewqV4QqXCr0ouQ7r6LkNyVqrbVdXdWLYRUBiCuKMyRRDgpuPqOMH5_OSKoWXUkr04c0fZiix9efyKk_25GRopi9gtpricL_kquw7V7Y_H7E3_vc_bMHzDDnZwaAj27AWFjuw-TmV9L1_CTczVHZ2joCxoHwQNqxyCvexZWSnvff3LMUNu-8eX_ONyP3ZIRo_z5YLNk83sjPB1TWb9hR9o4FntylKzuY2cX4iomWfbGd34WJ6_PXopMhFGIoWXb-uiNETB51WemyFUcLhfmiljp7HieW1Q8snA-KmqC26u4hPBDG6G8exRRqu5CvYWODMXgNTgYug0B-M0agakZHgto7OTayouanjCKqVTJo2M5RToYzrJnkq3DSDIBsSZJMFOYIPD4NuB4KOf3c_JGE_dCV27dSAQmryYsW-WmivKk9VnCqJtkkGLj2iG91GZdwIdkmwv31vkOkI9la60-St4EdTGTp7rse1ePOXYW_hGU5RDYGdPdjo7vrwDqFO5_ZTiGA_KfovXzP4UQ |
| linkProvider | IEEE |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1Lb9QwEB5BEYILz1YsFPCBIwl27HXWxxZYFuguUreVKi6RHdsSot2tSnIov54Zx1vxEIhbZNmJoxl7vhl7vgF40cbKuLaKBXcSHRTrdDGxXhU-6kp5oyI3lCg8X-jZsfpwMj7JyeopFyaEkC6fhZIe01m-X7c9hcpwhUuFXpS8DjfGlI07pGttNl5d1YljFyGJKYg1JpMMCW5eoZbvHS5LqhVeSinRize_GKLE158LrPyxKydTM70Li80khxsmX8u-c2X7_Tf-xv_-i3twJ4NOtjdoyX24FlYP4Oa7VNT38iGcLVDd2SFCxoIyQtiwzingx9aRzXvvL1mKHHZfPL7mM9H7s300f56tV2yZ7mRniqtTNu0p_kYDP52nODlb2sT6iZiWvbGd3Ybj6duj17Mil2EoWnT-uiJGTyx0WumxFUYJhzuilTp6HieW1w5tnwyInKK26PAiQhHE6W4cxxZpuJI7sLXCmT0CpgIXQaFHGKNRNWIjwW0dnZtYUXNTxxFUG5k0beYop1IZp03yVbhpBkE2JMgmC3IEL68GnQ8UHf_uvk_CvupK_NqpAYXU5OWKfbXQXlWe6jhVEq2TDFx6xDe6jcq4EWyTYH_63iDTEexudKfJm8G3pjJ0-lyPa_H4L8Oew63Z0fygOXi_-PgEbuN01RDm2YWt7qIPTxH4dO5ZUvcfm-L6pA |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Near+Real-Time+Monitoring+of+Muddy+Intertidal+Zones+Based+on+Spatiotemporal+Fusion+of+Optical+Satellites+Data&rft.jtitle=IEEE+journal+of+selected+topics+in+applied+earth+observations+and+remote+sensing&rft.au=Gu%2C+Yan&rft.au=Chen%2C+Jianchun&rft.au=Chen%2C+Ziyao&rft.au=Li%2C+Mingliang&rft.date=2024-01-01&rft.pub=The+Institute+of+Electrical+and+Electronics+Engineers%2C+Inc.+%28IEEE%29&rft.issn=1939-1404&rft.eissn=2151-1535&rft.volume=17&rft.spage=1596&rft_id=info:doi/10.1109%2FJSTARS.2023.3339339&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1939-1404&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1939-1404&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1939-1404&client=summon |