Skip to main content
padlock icon - secure page this page is secure

Multitemporal Analysis of Coastal Erosion Based on Multisource Satellite Images, Ponta Negra Beach, Natal City, Northeastern Brazil

Buy Article:

$63.00 + tax (Refund Policy)

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.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: PPK GPS; Shoreline detection; digital elevation model; remote sensing

Document Type: Research Article

Affiliations: 1: Postgraduate Program in Geodynamic and Geophysics, Federal University of Rio Grande do Norte, Natal, Brazil 2: Department of Geology, Federal University of Rio Grande do Norte, Natal, Brazil 3: Department of Civil Engineering, Federal University of Rio Grande do Norte, Natal, Brazil 4: Coordination of Postgraduate Engineering Program, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil 5: Postgraduate Program in Science and Petroleum Engineering, Federal University of Rio Grande do Norte, Natal, Brazil

Publication date: January 2, 2015

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more