Evaluation of Coastal Erosion in the Jurisdiction of the Municipalities of Puerto Colombia and Tubará, Atlántico, Colombia in Google Earth Engine with Landsat and Sentinel 2 Images
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Evaluation of Coastal Erosion in the Jurisdiction of the Municipalities of Puerto Colombia and Tubará, Atlántico, Colombia in Google Earth Engine with Landsat and Sentinel 2 Images

Authors: Francisco Javier Reyes Salazar, Héctor Mauricio Ramírez

Abstract:

The coastal zones are home to mangrove swamps, coral reefs, and seagrass ecosystems, which are the most biodiverse and fragile on the planet. These areas support a great diversity of marine life; they are also extraordinarily important for humans in the provision of food, water, wood, and other associated goods and services; they also contribute to climate regulation. The lack of an automated model that generates information on the dynamics of changes in coastlines and coastal erosion is identified as a central problem. In this paper, coastlines were determined from 1984 to 2020 on the Google Earth Engine platform from Landsat and Sentinel images. Then, we determined the Modified Normalized Difference Water Index (MNDWI) and used Digital Shoreline Analysis System (DSAS) v5.0. Starting from the 2020 coastline; the 10-year prediction (Year 2031) was determined with the erosion of 238.32 hectares and an accretion of 181.96 hectares. For the 20-year prediction (Year 2041) will be presented an erosion of 544.04 hectares and an accretion of 133.94 hectares. The erosion and accretion of Playa Muelle in the municipality of Puerto Colombia were established, which will register the highest value of erosion. The coverage that presented the greatest change was that of artificialized territories.

Keywords: Coastline, coastal erosion, MNDWI, Google Earth Engine, Colombia.

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References:


[1] National Planning Department (DNP).; Marine and Coastal Research Institute (INVEMAR). Basic elements for the Integrated Management of Coastal Zones. Editorial Gente Nueva: Bogotá DC, Colombia, 2008. ISBN: 978-958-8340-36-4.
[2] Eurosion – European Commission. Living with Coastal Erosion in Europe, Sediments and Space for Sustainability, Eurosion Study Results. Office for Official Publications of the European Community: Luxembourg, 2005. ISBN: 92-894-9918-4.
[3] Marine and Coastal Research Institute (INVEMAR). Report on the State of the Marine and Coastal Environments and Resources of Colombia. Periodic Publications Series No. 3: Santa Marta, Colombia, 2021. ISSN: 1692-5025.
[4] Navarrete-Ramirez, S. (2014). Protocol Indicator Variation Coastline: Beach Profiles. Invemar General Publications Series No. 73: Santa Marta, Colombia, 2014. ISBN: 978-958-8448-81-7.
[5] Steer, R.; Arias-Isaza F.; Ramos A.; Sierra-Correa P.; Alonso D.; Ocampo P. Base document for the elaboration of the “National Policy of Integrated Management of the Colombian Coastal Zones”. Consultancy document for the Ministry of the Environment. Special Publications Series No. 6: Bogotá DC, Colombia, 1997.
[6] National Administrative Department of Statistics. Available online: https://www.dane.gov.co/index.php/estadisticas-por-tema/pobreza-y-condiciones-de-vida/necesidades-basicas-insatisfechas-nbi (accessed 08 March 2021).
[7] Posada, B.; Hainaut, William. Diagnosis of coastal erosion in the Colombian Caribbean. Invemar General Publications Series No. 13: Santa Marta, Colombia, 2008.
[8] Rojas-Aguirre, AS; L. Cardona-Acuña, M. A; Mutis- Martinezguerra, DI; Gomez-Lopez, J. Vega; C. Daza. 20 years (1999-2018) of monitoring mangroves in the islands of San Andrés and Providencia. Invemar General Publications Series No. 107: Santa Marta, Colombia, 2019. ISBN: 978-958-8935-50-8.
[9] Alzate A., OA, & López R., JD A Food Security Strategy for the Colombian Pacific from the Perspective of the Communities. DFID Project, Buenaventura, Colombia, 2003.
[10] Mohamed-Katerere, J.; Smith, M. The role of ecosystems in food security 2013, Volume 64. 14-22.
[11] Cardozo, O. D., & Da Silva, C. J. (2013). Urban Applications of Remote Sensing. Digital Geographic Magazine. Digital Geographic Magazine. Faculty of Humanities: Argentina, 2013. ISSN 1668-5180.
[12] Ministry of Environment. National environmental policy for the sustainable development of ocean spaces and coastal and insular areas of Colombia. Forms and Printed SA: Bogotá DC, Colombia, 2000. ISBN: 958969721-6.
[13] Zhang, X., Yang, Z., Zhang, Y., Ji, Y., Wang, H., Lv , K., & Lu, Z.; Spatial and temporal shoreline changes of the southern Yellow River (Huanghe) Delta in 1976–2016. Marine Geology 2018, 188-197.
[14] Pardo-Pascual, JE, Almonacid-Caballer, J., Sánchez-García, E., Balaguer-Beser, AA, & Palomar-Vázquez, J; Evaluation of annual mean shoreline position deduced from Landsat imagery as a mid-term coastal evolution indicator. Marine Geology 2016, 79-88.
[15] Pardo-Pascual, JE, García, ES, Almonacid-Caballer, Palomar-Vázquez, Jesús, J., Priego de los Santos, E., Balaguer-Beser, Á; Assessing the Accuracy of Automatically Extracted Shorelines on Microtidal Beaches from Landsat 7, Landsat 8 and Sentinel-2 Imagery. remote sensing 2018.
[16] Cabezas - Rabadán, C., Pardo-Pascual, J., Palomar-Vázquez, J., & Fernández- Sarría, A.; Characterizing beach changes using high-frequency Sentinel-2 derived shorelines on the Valencian coast (Spanish Mediterranean). Science of the Total Environment 2019; 216-231.
[17] Almonacid-Caballer, J., Cabezas-Rabadán, C., E., P.-PJ, Palomar-Vázquez, J., & Fernández- Sarría, A; Monitoring of the response of Mediterranean beaches to storms and anthropic actions using Landsat images. International Journal of Geographic Information Science and Technology 2019; 119-139.
[18] Do, ATK; de Vries, S., and Stive, MJF; The estimation and evaluation of shoreline locations, shoreline-change rates, and coastal volume changes derived from Landsat images. Journal of Coastal Research 2019; 35(1), 56–71, ISSN 0749-0208.
[19] Kuleli , T., Guneroglu , A., Karsli, F., & Dihkan , M.; Automatic detection of shoreline change on coastal Ramsar wetlands of Turkey. Ocean Engineering 2011; 1141-1149.
[20] Kumar, TS, Mahendra, RS, Nayak, S., Radhakrishnan, K., & Sahu, K.; Coastal Vulnerability Assessment for Orissa State, East Coast of India. Journal of Coastal Research 2010; 523-534.
[21] Saravanan, S., KSS, P., & Vishnuprasath, S.; Monitoring Spatial and Temporal Scales of Shoreline Changes in the Cuddalore Region, India. Coastal Zone Management 2019; 99-112.
[22] Behling, R., Milewski, R., & Chabrillat, S.; Spatiotemporal shoreline dynamics of Namibian coastal lagoons derived by a dense remote sensing time series approach. Int J Appl Earth Obs Geoinformation 2018; 262-271.
[23] Hagenaars, G., De Vries, S., Luijendijk, AP, De Boer, WP, & Reniers, AJ; On the accuracy of automated shoreline detection derived from satellite imagery: A case study of the sand motor mega-scale nourishment. Coastal Engineering 2018; 113-125.
[24] Abu Zed, A., Soliman, M., & Yassin, A.; Evaluation of using satellite image in detecting long. Alexandria Engineering Journal 2018; 2687–2702.
[25] Choung, Y.-J., & Jo, M.-H.; Shoreline change assessment for various types of coasts using multi-temporal Landsat imagery of the east coast of South Korea. Remote Sensing Letters 2016; 91-100.
[26] El-Ashmawy, N. Automatic determination of shoreline at maximum retreating. The Egyptian Journal of Remote Sensing and Space Sciences 2019; 247-252.
[27] Mikosz Gonçalves, R., Saleem, A., Queiroz, HA, & Awange, JL; A fuzzy model integrating shoreline changes, NDVI and settlement influences for coastal zone human impact classification. Applied Geography 2019.
[28] Ciritci, D., & Turk, T.; Automatic Detection of Shoreline Change by Geographical Information System (GIS) and Remote Sensing in the Goksu Delta, Turkey. Journal of the Indian Society of Remote Sensing 2019 233-243.
[29] Li, X., Zhou, Y., Zhang, L., & Kuang, R.; Shoreline change of Chongming Dongtan and response to river sediment load: A remote sensing assessment. Journal of Hydrology 2014; 432-442.
[30] Özpolata, E., & Demir, T.; The spatiotemporal shoreline dynamics of a delta under natural and anthropogenic conditions from 1950 to 2018: A dramatic case from the Eastern Mediterranean. Ocean and Coastal Management 2019.
[31] Esmail, M., Mahmoda, WE, & Fatha, H.; Assessment and prediction of shoreline change using multi-temporal satellite images and statistics: Case study of Damietta coast, Egypt. Applied Ocean Research 2019; 274-282.
[32] Nandi, S., Ghosh, M., Kundu, A., Dutta, D., & Baksi, M.; Shoreline shifting and its prediction using remote sensing and GIS techniques: a case study of Sagar Island, West Bengal (India). Journal of Coastal Conservation 2015.
[33] G, V., Goswami, S., Samal, R., & Choudhury, S.; Monitoring of Chilika Lake mouth dynamics and quantifying rate of shoreline change using 30m multi-temporal Landsat data. Data in Brief 2019; 595-600.
[34] Manjulavani , K., Supriya, M., Suhrullekha , M., & B., H.; Detection of Shoreline Change using Geo-Spatial Techniques along the Coast between Kanyakumari and Tuticorin. IEEE International Conference on Power, Control, Signals and Instrumentation Engineering 2017; 2822-2825.
[35] Misra, A., & Balaji, R.; A study on the shoreline changes and Land-use/land-cover along the South Gujarat coastline. Procedia Engineering 2015; 381-389.
[36] Muskananfola, M., Supriharyono, & Febrianto, S.; Spatio-temporal analysis of shoreline change along the coast of Sayung Demak, Indonesia using Digital Shoreline Analysis System. Regional Studies in Marine Science 2020.
[37] Ozturk, D., & Sesli, FA; Shoreline change analysis of the Kizilirmak Lagoon Series. Ocean & Coastal Management 2015; 1-19.
[38] Qiaoa, G., Mia, H., Wanga, W., Tonga, X., Lib, Z., Lia, T., & Liua, S.; 55-year (1960–2015) spatiotemporal shoreline change analysis using historical DISP and Landsat time series data in Shanghai. Int J Appl Earth Obs Geoinformation 2018; 238-251.
[39] Castillo Charris, MA & Gamarra Mendoza, EA; Multi-temporal analysis of the coastline on the island of Tierrabomba and projection of the flood map due to mean sea level rise. CIOH Scientific Bulletin (32) 2014; 163-177.
[40] Gomez Gualdron, LM; Changes in the coastal landscape to the northwest of the departments of Bolívar and Sucre from 1988 to 2017. 2018 Bogotá.
[41] Nino, DC, & Oviedo, F.; Determination of the coastal morphological variation of the Bay of Tumaco, from multi-temporal analysis with remote sensors. CIOH Scientific Bulletin (36) 2018; 71-86.
[42] Cifuentes Ossa, MA, Rosero Henao, LV, & Selvaraj, JJ; Detection of changes in the coastline north of the Buenaventura district through the use of remote sensors. Marine and Coastal Research Bulletin 2017; 137-152.
[43] Ministry of Environment and Sustainable Development; Coastal Erosion Master Plan. 2017
[44] Hanqiu, Xu; Modification of normalized difference water index (NDWI) to enhance open water features in remotely sensed imagery. International Journal of Remote Sensing 2006, Volume 27, 3025-3033. 10.1080/01431160600589179.
[45] Coastal Management – Automatic Shoreline Delineation and Change Detection Analysis. Available online: https://www.esri.com/videos/watch?videoid=kYFn0tVVBfE (accessed 08 March 2021).
[46] Digital Shoreline Analysis System (DSAS). Available online: (accessed on 08 April 2021).
[47] Landsat 5: https://code.earthengine.google.com/9ea965f85f34d8a4a1ca9360ac1a2c8d
[48] Landsat 7: https://code.earthengine.google.com/1f0ecb5be0a93b5dce53cd1f7597a238
[49] Landsat 8: https://code.earthengine.google.com/374948c728d81b8d4733758acc3b227f
[50] Sentinel: https://code.earthengine.google.com/7b6a5acd2aa64fe239a89b66137e8e3b
[51] Puerto Colombia – Municipal Mayor's Office. Available online: https://www.puertocolombia-atlantico.gov.co/MiMunicipio/Paginas/Sitios-de-Interes.aspx (accessed March 22, 2022).
[52] Sixth Assessment Report. Climate Change 2021. The Physical Science Basis. Available online: https://www.ipcc.ch/report/ar6/wg1/ (accessed 13 December 2021).
[53] Mogollón Vélez, JV Of the river and its beaches. In Maritime Historical Atlas of Colombia XIX Century, 1ra ed.; Colombian Ocean Commission: Bogotá, Colombia, 2016; pp. 123–169, Print ISBN: 978-958-59232-3-2.
[54] Romero Olivera, LJ Metropolization in coastal areas (ZC) of the Barranquilla-Cartagena corridor: (BAQ-CTG) formation of a new metropolitan fabric from the production of space. Magister Thesis, National University of Colombia, Medellin Campus, November 2018.