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Authors: Gil Gonçalves 1 ; Sara Santos 2 ; Diogo Duarte 3 and José Gomes 4

Affiliations: 1 University of Coimbra, Portugal, Institute for Systems Engineering and Computers at Coimbra and Portugal ; 2 University of Coimbra and Portugal ; 3 Faculty of Geo-Information Science and Earth Observation (ITC) and The Netherlands ; 4 University of Coimbra, Portugal, Centre of Studies on Geography and Spatial Planning and Portugal

ISBN: 978-989-758-371-1

Keyword(s): Coastline Erosion, Local Change Rate, Drones, DSM, DSAS, GIS.

Abstract: Shorelines are continuously changing in shape and position due to both natural and anthropogenic causes. The present paper is a two-fold goal: 1) analyse the relevance of low-cost UAS (Unmanned Aerial Systems) imagery for local shoreline monitoring and control of topo-morphological changes by using the derived Digital Surface Models (DSM) and orthophotos; 2) integrating this 2.5D and 2D geospatial data with airborne LiDAR, historical images and national orthophotos series to assess the Furadouro’s beach erosion and shoreline change between 1958 to 2015. Digital Surface Models (DSM) derived from airborne LiDAR and low cost UAS are used to delineate the shoreline position for the years 2011 and 2015. A time series of shoreline positions is then obtained by combining the shoreline obtained from the DSM and LiDAR data with historical shoreline positions recovered from aerial images and orthophotos for the years 1958, 1998 and 2010. The accretion and erosion rates, generated by using the D igital Shoreline Analysis System (DSAS), shows that the integration of the several Geospatial technologies was very effective for monitoring the shoreline changes occurred in this 57-year interval, reveling an average shoreline retreat of -2.7 m/year. In addition, the DSMs derived from UAS technology can also be effectively used in the topographic monitoring of the primary dunes or in other processes associated with the coastline erosion phenomena. (More)

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Paper citation in several formats:
Gonçalves, G.; Santos, S.; Duarte, D. and Gomes, J. (2019). Monitoring Local Shoreline Changes by Integrating UASs, Airborne LiDAR, Historical Images and Orthophotos.In Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM, ISBN 978-989-758-371-1, pages 126-134. DOI: 10.5220/0007744101260134

@conference{gistam19,
author={Gil Gon\c{C}alves. and Sara Santos. and Diogo Duarte. and José Gomes.},
title={Monitoring Local Shoreline Changes by Integrating UASs, Airborne LiDAR, Historical Images and Orthophotos},
booktitle={Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,},
year={2019},
pages={126-134},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007744101260134},
isbn={978-989-758-371-1},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,
TI - Monitoring Local Shoreline Changes by Integrating UASs, Airborne LiDAR, Historical Images and Orthophotos
SN - 978-989-758-371-1
AU - Gonçalves, G.
AU - Santos, S.
AU - Duarte, D.
AU - Gomes, J.
PY - 2019
SP - 126
EP - 134
DO - 10.5220/0007744101260134

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