Satellite-Derived Bathymetry models from Landsat-8 e Sentinel-2A applied to Caiçara do Norte Shelf, Northeast, Brazil

Authors

DOI:

https://doi.org/10.5380/qeg.v17i1.102143

Keywords:

subaqueous dunes, isolated shallow marine body, digital imagine processing, marine mapping, continental shelf

Abstract

The continental shelf in northern Rio Grande do Norte is subdivided into inner, middle, and outer shelf sectors and is extremely shallow, with depths reaching up to 70–75 m over most of its extent. Despite the presence of several submarine features, detailed bathymetric studies in this region are scarce, which limits the understanding of its morphology and hampers the acquisition of high-resolution bathymetric surveys. This study proposes the application of satellite-derived bathymetry (SDB) using empirical models applied to multispectral optical imagery as a support tool for mapping shallow-water environments. The objective of this study is to apply SDB to investigate depth and seafloor morphology and to morphologically characterize the Coroa das Lavadeiras, a shallow, isolated sandy body located north of the continental shelf of Rio Grande do Norte, near the municipality of Caiçara do Norte. The proposed methodology is based on multispectral images from the Landsat-8 OLI and Sentinel-2A sensors, combined with depth data extracted from nautical charts. After atmospheric correction, empirical methods based on band ratios and polynomial model fitting were applied to estimate water depth. Model performance was evaluated using statistical metrics, including the coefficient of determination (R²), root mean square error (RMSE), mean absolute error (MAE), and mean absolute relative deviation (MARD). The results indicate that the model developed using Landsat-8 data, within the 2–30 m depth range and employing the blue and green band combination (B1/B2), achieved the best performance, with an R² of 0.71 and the lowest error values. The final application of this model enabled the generation of a representative bathymetric map, bathymetric profiles, and three-dimensional models, allowing the identification of submerged morphological features such as the Coroa das Lavadeiras, longitudinal dunes, and transverse dunes, highlighting the potential of the SDB approach for mapping shallow areas of the inner continental shelf of Caiçara do Norte.

Author Biographies

Débora Joyce do Nascimento Rocha, UFRN

Universidade Federal do Rio Grande do Norte

Moab Praxedes Gomes, UFRN

Geólogo (2007) e Mestre em Geodinâmica e Geofísica-PPGG (2009) pela UFRN. Especialização em Gestão e Perícia Ambiental pela FARN (2009). Doutorado (2012) na área de Geologia e Geofísica Marinha na UFRN (PPGG) com estágio sanduíche na Universidade Christian Albrecht zu Kiel, Alemanha. Atualmente é bolsista de produtividade do cnpq - nível 2 do CNPq, professor de magistério superior da Universidade Federal do Rio Grande do Norte, vice-coordenador da Pós-Graduação em Geodinâmica e Geofísica da UFRN (PPGG/UFRN) e leciona disciplinas de Terrenos Sedimentares, Geologia e Geofísica Marinha. Desenvolve trabalhos relacionados a geomorfologia, estratigrafia e sedimentologia em sistemas deposicionais transicionais, plataformais e de mar profundo.

Paulo Victor Do Nascimento Araújo, Instituto federal do rio grande do norte

Bacharel em Engenharia de Pesca pela Universidade Federal Rural do Semi-Árido (2011) e licenciado em Geografia pela Universidade Federal do Rio Grande do Norte (2024). Especialista em Análise Ambiental e Geoprocessamento. Mestre e Doutor em Geodinâmica e Geofísica pela Universidade Federal do Rio Grande do Norte (2014, 2020), com estágio de pós-doutorado realizado no Instituto Superior Técnico (IST) da Universidade de Lisboa (ULisboa), Portugal, em 2022. Atuou no Projeto Atum Brasil/Japão (2011-2012), trabalhando com rastreamento por satélite de embarcações e monitoramento da atividade pesqueira (Atlântico Tuna), além de ser instrução da Overseas Fundação de Cooperação Pesqueira do Japão. Desde 2013, é docente efetivo do Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte (IFRN), onde desenvolve pesquisas aplicadas ao uso de geotecnologias, com ênfase em: i) Geoprocessamento (SIG, Sensoriamento Remoto e Processamento Digital de Imagens); ii) Modelagem Ambiental, com foco em georisco a inundações; iii) Modelos Digitais de Elevação; iv) Mapeamento com uso de RPA (Aeronave Remotamente Pilotada); ev) Monitoramento da atividade pesqueira. É líder do Grupo de Pesquisa em Análise Ambiental, Modelagem e Geoinformação (PAMGEIA) e membro da Associação de Especialistas Latino-Americanos em Sensoriamento Remoto (SELPER). 

References

ARAÚJO P.V.N., AMARAL R.F. 2016. Mapping of coral reefs in the continental shelf of Brazilian Northeast through remote sensing. Revista da Gestão Costeira Integrada, v. 16, p. 5-20. DOI: http://dx.doi.org/10.5894/rgci629

ASHPHAQ M., SRIVASTAVA P. K., MITRA D. 2021. Review of near-shore satellite derived bathymetry: classification and account of five decades of coastal bathymetry research. Journal of Ocean Engineering and Science, [S.l.]. v. 6, 10-101p.

CABALLERO I., STUMPF R.P. 2019. Retrieval of nearshore bathymetry from Sentinel-2A and 2B satellites in South Florida coastal waters. Estuar. Coast Shelf Sci. 226, 106277. https://doi.org/10.1016/j.ecss.2019.106277

CHAVEZ P. S. 1988. An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data. Remote Sensing of Environment, v. 24, n. 3, p. 459–479, abr. DOI: https://doi.org/10.1016/0034-4257(88)90019-3

DAMASCENO U.M., CINTRA M.M., GOMES M.P., VITAL H. 2022. Interactions between the North Brazilian Undercurrent (NBUC) and the Southwest Atlantic Margin. Implications for Brazilian shelf-edge systems. Regional Studies in Marine Science. V. 54, 102486.

DA SILVEIRA et al. 2020. Multiresolution Satellite-Derived Bathymetry in Shallow Coral Reefs: Improving Linear Algorithms with Geographical Analysis. Bio One Digital Library. URL: https://doi.org/10.2112/JCOASTRES-D-19-00029.1

DUAN Z., CHU S., CHENG L., JI C., LI M., SHEN W. 2022. Satellite-derived bathymetry using Landsat-8 and Sentinel-2A images: assessment of atmospheric correction algorithms and depth derivation models in shallow Waters. Optics Express. Vol. 30. No 3. DOI: https://doi.org/10.1364/OE.444557

FIERN. RN tem potencial eólico duplicado e um oásis offshore e solar, mostra Atlas do Governo e FIERN. Disponível em: https://www.fiern.org.br/rn-tem-potencial-eolico-duplicado-e-um-oasis-offshore-e-solar-mostra-atlas-governo-e-fiern. Acesso em: 12 de jun. de 2025

FREIRE R.R. 2017. Evaluating Satellite Derived Bathymetry in Regard to Total Propagated Uncertainty, Multi-Temporal Change Detection, and Multiple Non-Linear Estimation. Dissertação de Doutorado, University of New Hampshire, Durham. Disponível em: <https://scholars.unh.edu/dissertation/2281/>

GODWIN B. 2021. Penetration of Visible Radiation from Sunlight through Water. University of Minnesota Sea Grant Program.

GOMES M.P., VITAL H., BEZERRA F.H.R., CASTRO D.L., MACEDO J.W.P. 2014. The interplay between structural inheritance and morphology in the Equatorial Continental Shelf of Brazil. Marine Geology. DOI: https://doi.org/10.1016/j.margeo.2014.06.002

GOMES M. P., VITAL H., EICHLER P.P.B., GUPTA B.K.S. 2015. The investigation of a mixed carbonate-siliciclastic shelf, NE Brazil side-scan sonar imagery, underwater photography, and surface-sediment data. Società Geologica Italiana, Roma. DOI: https://doi.org/10.3301/IJG.2014.08. 9-22p.

GOMES M.P.; VITAL H.; STATTEGGER K.; SCHWARZER K. 2016. Controle de leito rochoso na morfologia e sedimentação do Vale Inciso do Assu na plataforma equatorial brasileira. International Journal of Sediment Research, v. 31, n. 2,181-193p.

GOMES M. P. VITAL H., DROXLER A. W. 2020. Terraces, reefs, and valleys along the Brazil northeast outer shelf: deglacial sea-level archives? Geo-Marine. Doi: https://doi.org/10.1007/s00367-020-00666-4

GÜLHER E.; ALGANCI U. 2023. Satellite–Derived Bathymetry in Shallow Waters: Evaluation of Gokturk-1 Satellite and a Novel Approach. Remote Sensing. DOI: https://doi.org/10.3390/rs15215220

HARRIS P.T.; MACMILLAN-LAWLER M.; RUPP J.; BAKER E.K. 2014. Geomorphology of the oceans. Marine Geology 352:4–24

INTERNATIONAL HYDROGRAPHIC ORGANIZATION – IHO. Guidance to Satellite-Derived Bathymetry. 2024 Bathymetric Publications. Disponível em: https://iho.int/uploads/user/pubs/bathy/B_13_Ed100_032024.pdf. Acesso em: 10 jun. 2024.

JAGALINGAM P., AKSHAYA B. J., ARKAL V.H. 2015. Bathymetry Mapping Using Landsat 8 Satellite Imagery. Procedia Engineering 116. 8th International Conference on Asian and Pacific Coasts (APAC 2015). p. 560 – 566.

KINZEL P.J., LEGLEITER C.J., NELSON J.M. 2013. Mapping river bathymetry with a small footprint green lidar: Applications and challenges. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. Vol. 19. P. 183-204.

LYZENGA D.R. 1978. Passive remote sensing techniques for mappingwater depth and bottom features. Applied Optics 17:379–383p.

MOREIRA D.A. GOMES M.P. VITAL H. 2019. Sedimentação rasa da plataforma de Natal e implicações da erosão costeira, NE do Brasil. Cartas Geo-Marinas. DOI: https://doi.org/10.1007/s00367-019-00594-y

MATOS M.F. A., SCUDELARI A.C., AMARO V.E. 2022. Variabilidade Interanual do Potencial Energético das Ondas Oceânicas na Costa Setentrional do Rio Grande do Norte, Atlântico Equatorial Sul. Anuário do Instituto de Geociências. DOI: https://doi.org/10.11137/1982-3908_45_46460

MUDIYANSELAGEA S.S.J.D., ABD-ELRAHMANA A,; WILKINSONA V., LECOURSA. 2022. Satellite-derived bathymetry using machine learning and optimal Sentinel-2 imagery in South-West Florida coastal Waters. GISCIENCE & REMOTE SENSING. VOL. 59, NO. 1, 1143–1158 p. DOI: https://doi.org/10.1080/15481603.2022.2100597

NASCIMENTO NETO F.C, VITAL H., ARAÚJO I.R.F., GOMES M.P. 2019. Sand Ridges Field in the North Inner Shelf of Rio Grande do Norte, Adjacent to Galinhos-Guamaré, Brazil. In Anuário do Instituto de Geociências - UFRJ (Vol. 42, Issue 2, pp. 50–58). Instituto de Geociencias - UFRJ. DOI: https://doi.org/10.11137/2019_2_50_58

OTHMAN A.A., ALI S.S., OBAID A. K., SARKAWT G.S., AL-KAKEY O., AL-SAADY Y.I., LATIF S. D., LIESENBERG V., NETO S. L. R., BREUNIG F. M., HASAN S. E. 2024. Satellite-derived shallow water depths estimation using remote sensing and artificial intelligence models, a case study: Darbandikhan Lake Upper, Kurdistan Region, Iraq. Remote Sensing Applications: Society and Environment. DOI: https://doi.org/10.1016/j.rsase.2024.101432

PIANCA C., MANZZINI P.L.F., SIEGLE E., 2010. Brazilian offshore wave climate based on NWW3 reanalysis. Braz. J. Oceanogr. 58 (1), p53e70.

POURSANIDIS D., TRAGANOS D., CHRYSOULAKIS N., REINARTZ P. 2019. Cubesats Allow High Spatiotemporal Estimates of Satellite-Derived Bathymetry. Remote Sensing 11:1299. DOI: https://doi.org/10.3390/rs11111299

TESTA V., BOSENCE D.W.J. 1998. Sedimentação carbonato-siliciclástica em rampa tropical de alta energia voltada para o oceano, NE do Brasil. In: WRIGHT, V. P.; BURCHETTE, T. P. (Eds.). Rampas de carbonato, vol 149. Geol. Soc. London spec. Pub., 55–71p.

RIBEIRO F., PIMENTA F.M., VITAL H. 2018. Inner Shelf Currents Off Ponta Negra Beach, Natal, Rn, Brazil. Revista Brasileira de Geofísica 36(1):43–58. https://doi.org/10.22564/.v36i1.841

ROSSO T.C.A. 2007. Gestão integrada em bacias hidrográficas costeiras. In: WORKSHOP SOBRE HIDRODINÂMICA COSTEIRA - AMIGOS DE BOUSSINESQ, 1. Anais... Vitória: UFRJ, 2007, v. 1, p. 1-7.

NASCIMENTO SILVA, L. L., GOMES M. P., VITAL H. 2018. The Açu Reef morphology, distribution, and inter reef sedimentation on the outer shelf of the NE Brazil equatorial margin. Continental Shelf Research. DOI: https://doi.org/10.1016/j.csr.2018.03.011

NASCIMENTO SILVA, L. L., GOMES M. P., EICHLER P. P. B., VITAL H. 2024. Late Holocene geochemical signature of inter reef mixed sediments on the northeastern Brazilian outer shelf. Quaternary and Environmental Geosciences. DOI http://dx.doi.org/10.5380/qeg.v15i0.95563

SILVEIRA I. C. A., SCHIMIDT A. C. K., CAMPOS E. J. D., GODOI S.S., IKEDA Y. 2000. A Corrente do Brasil ao largo da Costa Leste Brasileira. Instituto Oceonográfico da Universidade de São Paulo. p171-183.

STUMPF R.P. HOLDERIED K. SINCLAIR M. 2003. Determination of water depth with high-resolution satellite imagery over variable bottom types. Limnology and Oceanography, v. 48, n. 1part2, p. 547–556, jan. DOI: https://doi.org/10.4319/lo.2003.48.1b_part_2.0547

VANHELLEMONT Q., RUDDICK K. 2014. Turbid wakes associated with offshore wind turbines observed with Landsat 8. Remote Sensing of Environment, v. 145, p. 105–115. DOI: https://doi.org/10.1016/j.rse.2014.01.009

VANHELLEMONT Q., RUDDICK K. 2015. Advantages of high-quality SWIR bands for ocean colour processing: Examples from Landsat-8. Remote Sensing of Environment, v. 161, p. 89–106, maio. DOI: https://doi.org/10.1016/j.rse.2015.02.007

VANHELLEMONT Q., RUDDICK K. 2016. Acolite for Sentinel-2: Aquatic Applications of MSI Imagery. [s.l: s.n.]. Disponível em: <https://odnature.naturalsciences.be/downloads/publications/2016_Vanhellemont_ESALP.pdf>. Acesso em: 30 abr. 2025.

VANHELLEMONT Q. 2019. Adaptation of the dark spectrum fitting atmospheric correction for aquatic applications of the Landsat and Sentinel-2 archives. Remote Sensing of Environment. 225:175–192. DOI: HTTPS://DOI.ORG/10.1016/J.RSE.2019.03.010

VIAÑA-BORJA S.P., GONZÁLEZ-VILLANUEVA R., ALEJO I., STUMPF R.P., NAVARRO G., CABALLERO I. 2025. Satellite-derived bathymetry using Sentinel-2 in mesotidal coasts. Coastal Engineering 195:104644

VITAL H., STATTEGGER K., AMARO V. E., FRAZÃO E. P., TABOSA W. F., SILVEIRA I. M. 2008. Plataforma moderna siliciclástica-carbonatada de alta energia: plataforma continental adjacente ao norte do estado do Rio Grande do Norte, Nordeste do Brasil. In: HAMPSON, G.; STEEL, R.; BURGESS, P.; DALRYMPLE, R. (Eds.). Avanços recentes em modelos de estratigrafia marinha rasa siliciclástica. Edição especial 90 da SEPM, pp. 175–188. DOI: https://doi.org/10.2110/pec.08.90.0177

VITAL H., GOMES M. P., TABOSA W. F., FRAZÃO E. P., SANTOS C. L. A., PLÁCIDO JÚNIOR J.S. 2010. Caracterização da Plataforma Continental Brasileira adjacente ao Estado do Rio Grande do Norte, NE do Brasil. Braz J Oceanogr., v. 58, spe1, 43–54p.

WICAKSONO, P.; HARAHAP, S. T.; 2023. Hendriana, R. Satellite-derived bathymetry from WorldView-2 based on linear and machine learning regression in the optically complex shallow water of the coral reef ecosystem of Kemujan island. DOI: https://doi.org/10.1016/j.rsase.202

Published

2026-04-29

How to Cite

Rocha, D. J. do N., Praxedes Gomes, M., & Do Nascimento Araújo, P. V. (2026). Satellite-Derived Bathymetry models from Landsat-8 e Sentinel-2A applied to Caiçara do Norte Shelf, Northeast, Brazil. Quaternary and Environmental Geosciences, 17(1). https://doi.org/10.5380/qeg.v17i1.102143

Issue

Section

Geologia e Geofísica Marinha