Analysis of Coastline Evolution using Landsat and Sentinel 2 Images from 2001 to 2020 in Callao Bay, Peru

Amanda Muñoz, Luis Mendoza, Emanuel Guzmán, Carmela Ramos

2022

Abstract

The study presented an analysis of the shoreline evolution in Callao Bay – Lima, Perú; which is one of the most important bays in Perú due to economics and touristic activities. Study areas include La Punta, Callao and Ventanilla districts with an approximate 32 km of length. The study area was divided into six sectors, and the analysis was focused mainly from the 2001 to 2020 period, identifying areas affected by coastal erosion or accretion throughout. Satellite data images were obtained from Landsat (5, 7 and 8) and Sentinel 2, they were processed to correctly identify the shoreline. Shoreline variations were analyzed using the DSAS (Digital Shoreline Analysis System) utility, applying a statistical method called "Linear Regression Ratio". Shoreline variations showed different rates of changes along different sectors of the study area. In general terms, the accretion or erosion trend in Callao Bay was a low accretion with average rates from 3.77 m / year to 4.20 m / year, except in the sector which is closed to the Rímac river with change rate of around 11.85 m/year.

Paper Citation

in Harvard Style

Muñoz A., Mendoza L., Guzmán E. and Ramos C. (2022). Analysis of Coastline Evolution using Landsat and Sentinel 2 Images from 2001 to 2020 in Callao Bay, Peru. In Proceedings of the 8th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM, ISBN 978-989-758-571-5, pages 115-122. DOI: 10.5220/0011037500003185

in Bibtex Style

@conference{gistam22,
author={Amanda Muñoz and Luis Mendoza and Emanuel Guzmán and Carmela Ramos},
title={Analysis of Coastline Evolution using Landsat and Sentinel 2 Images from 2001 to 2020 in Callao Bay, Peru},
booktitle={Proceedings of the 8th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,},
year={2022},
pages={115-122},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011037500003185},
isbn={978-989-758-571-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,
TI - Analysis of Coastline Evolution using Landsat and Sentinel 2 Images from 2001 to 2020 in Callao Bay, Peru
SN - 978-989-758-571-5
AU - Muñoz A.
AU - Mendoza L.
AU - Guzmán E.
AU - Ramos C.
PY - 2022
SP - 115
EP - 122
DO - 10.5220/0011037500003185