Multitemporal analysis of coastal erosion based on multisource satellite images, Ponta Negra beach, Natal City, Northeastern Brazil

Detalhes bibliográficos
Autor(a) principal: Scudelari, Ada Cristina
Data de Publicação: 2014
Outros Autores: Amaro, Venerando Eustáquio, Gomes, Lívian Rafaely Santana, Lima, Francisco Gabriel Ferreira, Neves, Cláudio Freitas, Busman, Débora Vieira, Santos, André Luís Silva
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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spelling 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
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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
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10.1080/01490419.2014.904257
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dc.publisher.none.fl_str_mv Taylor and Francis
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