Multitemporal analysis of coastal erosion based on multisource satellite images, Ponta Negra beach, Natal City, Northeastern Brazil
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRN |
Texto Completo: | https://repositorio.ufrn.br/handle/123456789/30261 |
Resumo: | This paper describes the use of moderate and high-resolution remote sensing images integrated with a Geographic Information System to evaluate the sedimentary balance and morphological changes seen on the sandy beach of Ponta Negra in northeastern Brazil. High-energy forces such as wind, tides, waves, and currents cause widespread erosion and morphodynamic instability along the shoreline. This investigation uses diverse images from multitemporal and multiresolution analyses and a Post-Processing Kinematic Global Positioning System (PPK GPS) survey as the primary resources to study the short and long-term effects of shoreline changes and the processes controlling the persistent horizontal and vertical erosion on the beach. We used moderate-resolution remote sensing images from 1973 to 2012 and high-resolution images from 2003 to 2011. Between 1973 and 2012 a total area of 121,494.52 m2 was affected by erosion and 37,266.58 m2 was affected by accretion. Shoreline progradation rates of 4.2 m/year and recession rates of -3.7 m/year were estimated for the period between 1973 and 1986 and mean erosion rates of 1.5 m/year were estimated from 1986 to 2012. Digital Elevation Model (DEM) comparison resulting from different PPK GPS surveys showed a negative sediment balance of approximately -3,261.94 m3 in a plot of 12,500 m2 between May and September 2012. The coast has also been facing a drastically increased human influence in recent decades. In summary, this article aims to contribute information to support the mitigation of coastal erosion and to protect seaside infrastructure |
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Scudelari, Ada CristinaAmaro, Venerando EustáquioGomes, Lívian Rafaely SantanaLima, Francisco Gabriel FerreiraNeves, Cláudio FreitasBusman, Débora VieiraSantos, André Luís Silva2020-10-05T18:48:12Z2020-10-05T18:48:12Z2014-06-19AMARO, Venerando Eustáquio; GOMES, Lívian Rafaely Santana; LIMA, Francisco Gabriel Ferreira de; SCUDELARI, Ada Cristina; NEVES, Cláudio Freitas; BUSMAN, Débora Vieira; SANTOS, André Luís Silva. Multitemporal analysis of coastal erosion based on multisource satellite images, Ponta Negra beach, Natal city, Northeastern Brazil. Marine Geodesy, [S.L.], v. 38, n. 1, p. 1-25, 19 jun. 2014. Disponível em: https://www.tandfonline.com/doi/abs/10.1080/01490419.2014.904257. Acessp em: 25 set. 2020. http://dx.doi.org/10.1080/01490419.2014.904257.0149-04191521-060Xhttps://repositorio.ufrn.br/handle/123456789/3026110.1080/01490419.2014.904257Taylor and FrancisAttribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessDigital elevation modelPPK GPSRemote sensingShoreline detectionMultitemporal analysis of coastal erosion based on multisource satellite images, Ponta Negra beach, Natal City, Northeastern Brazilinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleThis paper describes the use of moderate and high-resolution remote sensing images integrated with a Geographic Information System to evaluate the sedimentary balance and morphological changes seen on the sandy beach of Ponta Negra in northeastern Brazil. High-energy forces such as wind, tides, waves, and currents cause widespread erosion and morphodynamic instability along the shoreline. This investigation uses diverse images from multitemporal and multiresolution analyses and a Post-Processing Kinematic Global Positioning System (PPK GPS) survey as the primary resources to study the short and long-term effects of shoreline changes and the processes controlling the persistent horizontal and vertical erosion on the beach. We used moderate-resolution remote sensing images from 1973 to 2012 and high-resolution images from 2003 to 2011. Between 1973 and 2012 a total area of 121,494.52 m2 was affected by erosion and 37,266.58 m2 was affected by accretion. Shoreline progradation rates of 4.2 m/year and recession rates of -3.7 m/year were estimated for the period between 1973 and 1986 and mean erosion rates of 1.5 m/year were estimated from 1986 to 2012. Digital Elevation Model (DEM) comparison resulting from different PPK GPS surveys showed a negative sediment balance of approximately -3,261.94 m3 in a plot of 12,500 m2 between May and September 2012. The coast has also been facing a drastically increased human influence in recent decades. 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dc.title.pt_BR.fl_str_mv |
Multitemporal analysis of coastal erosion based on multisource satellite images, Ponta Negra beach, Natal City, Northeastern Brazil |
title |
Multitemporal analysis of coastal erosion based on multisource satellite images, Ponta Negra beach, Natal City, Northeastern Brazil |
spellingShingle |
Multitemporal analysis of coastal erosion based on multisource satellite images, Ponta Negra beach, Natal City, Northeastern Brazil Scudelari, Ada Cristina Digital elevation model PPK GPS Remote sensing Shoreline detection |
title_short |
Multitemporal analysis of coastal erosion based on multisource satellite images, Ponta Negra beach, Natal City, Northeastern Brazil |
title_full |
Multitemporal analysis of coastal erosion based on multisource satellite images, Ponta Negra beach, Natal City, Northeastern Brazil |
title_fullStr |
Multitemporal analysis of coastal erosion based on multisource satellite images, Ponta Negra beach, Natal City, Northeastern Brazil |
title_full_unstemmed |
Multitemporal analysis of coastal erosion based on multisource satellite images, Ponta Negra beach, Natal City, Northeastern Brazil |
title_sort |
Multitemporal analysis of coastal erosion based on multisource satellite images, Ponta Negra beach, Natal City, Northeastern Brazil |
author |
Scudelari, Ada Cristina |
author_facet |
Scudelari, Ada Cristina Amaro, Venerando Eustáquio Gomes, Lívian Rafaely Santana Lima, Francisco Gabriel Ferreira Neves, Cláudio Freitas Busman, Débora Vieira Santos, André Luís Silva |
author_role |
author |
author2 |
Amaro, Venerando Eustáquio Gomes, Lívian Rafaely Santana Lima, Francisco Gabriel Ferreira Neves, Cláudio Freitas Busman, Débora Vieira Santos, André Luís Silva |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Scudelari, Ada Cristina Amaro, Venerando Eustáquio Gomes, Lívian Rafaely Santana Lima, Francisco Gabriel Ferreira Neves, Cláudio Freitas Busman, Débora Vieira Santos, André Luís Silva |
dc.subject.por.fl_str_mv |
Digital elevation model PPK GPS Remote sensing Shoreline detection |
topic |
Digital elevation model PPK GPS Remote sensing Shoreline detection |
description |
This paper describes the use of moderate and high-resolution remote sensing images integrated with a Geographic Information System to evaluate the sedimentary balance and morphological changes seen on the sandy beach of Ponta Negra in northeastern Brazil. High-energy forces such as wind, tides, waves, and currents cause widespread erosion and morphodynamic instability along the shoreline. This investigation uses diverse images from multitemporal and multiresolution analyses and a Post-Processing Kinematic Global Positioning System (PPK GPS) survey as the primary resources to study the short and long-term effects of shoreline changes and the processes controlling the persistent horizontal and vertical erosion on the beach. We used moderate-resolution remote sensing images from 1973 to 2012 and high-resolution images from 2003 to 2011. Between 1973 and 2012 a total area of 121,494.52 m2 was affected by erosion and 37,266.58 m2 was affected by accretion. Shoreline progradation rates of 4.2 m/year and recession rates of -3.7 m/year were estimated for the period between 1973 and 1986 and mean erosion rates of 1.5 m/year were estimated from 1986 to 2012. Digital Elevation Model (DEM) comparison resulting from different PPK GPS surveys showed a negative sediment balance of approximately -3,261.94 m3 in a plot of 12,500 m2 between May and September 2012. The coast has also been facing a drastically increased human influence in recent decades. In summary, this article aims to contribute information to support the mitigation of coastal erosion and to protect seaside infrastructure |
publishDate |
2014 |
dc.date.issued.fl_str_mv |
2014-06-19 |
dc.date.accessioned.fl_str_mv |
2020-10-05T18:48:12Z |
dc.date.available.fl_str_mv |
2020-10-05T18:48:12Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
AMARO, Venerando Eustáquio; GOMES, Lívian Rafaely Santana; LIMA, Francisco Gabriel Ferreira de; SCUDELARI, Ada Cristina; NEVES, Cláudio Freitas; BUSMAN, Débora Vieira; SANTOS, André Luís Silva. Multitemporal analysis of coastal erosion based on multisource satellite images, Ponta Negra beach, Natal city, Northeastern Brazil. Marine Geodesy, [S.L.], v. 38, n. 1, p. 1-25, 19 jun. 2014. Disponível em: https://www.tandfonline.com/doi/abs/10.1080/01490419.2014.904257. Acessp em: 25 set. 2020. http://dx.doi.org/10.1080/01490419.2014.904257. |
dc.identifier.uri.fl_str_mv |
https://repositorio.ufrn.br/handle/123456789/30261 |
dc.identifier.issn.none.fl_str_mv |
0149-0419 1521-060X |
dc.identifier.doi.none.fl_str_mv |
10.1080/01490419.2014.904257 |
identifier_str_mv |
AMARO, Venerando Eustáquio; GOMES, Lívian Rafaely Santana; LIMA, Francisco Gabriel Ferreira de; SCUDELARI, Ada Cristina; NEVES, Cláudio Freitas; BUSMAN, Débora Vieira; SANTOS, André Luís Silva. Multitemporal analysis of coastal erosion based on multisource satellite images, Ponta Negra beach, Natal city, Northeastern Brazil. Marine Geodesy, [S.L.], v. 38, n. 1, p. 1-25, 19 jun. 2014. Disponível em: https://www.tandfonline.com/doi/abs/10.1080/01490419.2014.904257. Acessp em: 25 set. 2020. http://dx.doi.org/10.1080/01490419.2014.904257. 0149-0419 1521-060X 10.1080/01490419.2014.904257 |
url |
https://repositorio.ufrn.br/handle/123456789/30261 |
dc.language.iso.fl_str_mv |
eng |
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eng |
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Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ info:eu-repo/semantics/openAccess |
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Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ |
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openAccess |
dc.publisher.none.fl_str_mv |
Taylor and Francis |
publisher.none.fl_str_mv |
Taylor and Francis |
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