TY - GEN
T1 - Analysis of Coastline Evolution using Landsat and Sentinel 2 Images from 2001 to 2020 in Callao Bay, Peru
AU - Muñoz, Amanda
AU - Mendoza, Luis
AU - Guzmán, Emanuel
AU - Ramos, Carmela
N1 - Publisher Copyright:
Copyright © 2022 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Callao Bay
KW - Coastal Accretion
KW - Coastal Erosion
KW - Satellite Images
UR - https://www.scopus.com/pages/publications/85141104165
U2 - 10.5220/0011037500003185
DO - 10.5220/0011037500003185
M3 - Contribución a la conferencia
AN - SCOPUS:85141104165
T3 - International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM - Proceedings
SP - 115
EP - 122
BT - Proceedings of the 8th International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2022
A2 - Grueau, Cedric
A2 - Ragia, Lemonia
PB - Science and Technology Publications, Lda
T2 - 8th International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2022
Y2 - 27 April 2022 through 29 April 2022
ER -