Monitoring Local Shoreline Changes by Integrating UASs, Airborne LiDAR, Historical Images and Orthophotos

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 Digital 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.

[1]  Gil Gonçalves,et al.  Accuracy and effectiveness of low cost UASs and open source photogrammetric software for foredunes mapping , 2018 .

[2]  J. Gonçalves,et al.  UAV photogrammetry for topographic monitoring of coastal areas , 2015 .

[3]  Leonardo Disperati,et al.  Integrating remote sensing and GIS techniques for monitoring and modeling shoreline evolution to support coastal risk management , 2018 .

[4]  Massimiliano Pepe,et al.  CORS ARCHITECTURE AND EVALUATION OF POSITIONING BY LOW-COST GNSS RECEIVER , 2018, Geodesy and cartography.

[5]  T. Moore,et al.  Quality assessment of a network-based RTK GPS service in the UK , 2009 .

[6]  Elena Giménez,et al.  Evaluation of NRTK positioning using the RENEP and RAP networks on the Southern border region of Portugal and Spain , 2012, Acta Geodaetica et Geophysica Hungarica.

[7]  L. Moore.  Shoreline Mapping Techniques , 2000 .

[8]  L. Calliari,et al.  Erosion or Coastal Variability: An Evaluation of the DSAS and the Change Polygon Methods for the Determination of Erosive Processes on Sandy Beaches , 2016 .

[9]  José Manuel Galván Rangel,et al.  The impact of number and spatial distribution of GCPs on the positional accuracy of geospatial products derived from low-cost UASs , 2018, International Journal of Remote Sensing.

[10]  K. Kraus,et al.  Visualization of the quality of surfaces and their derivatives , 1994 .

[11]  Cristina Ponte Lira,et al.  Coastline evolution of Portuguese low-lying sandy coast in the last 50 years: an integrated approach , 2016 .

[12]  Willamys R. N. de Sousa,et al.  Creation of a coastal evolution prognostic model using shoreline historical data and techniques of digital image processing in a GIS environment for generating future scenarios , 2018 .

[13]  J. Brock,et al.  The Emerging Role of Lidar Remote Sensing in Coastal Research and Resource Management , 2009 .

[14]  Marco Dubbini,et al.  Using Unmanned Aerial Vehicles (UAV) for High-Resolution Reconstruction of Topography: The Structure from Motion Approach on Coastal Environments , 2013, Remote. Sens..

[15]  Elena Giménez,et al.  A high spatio-temporal methodology for monitoring dunes morphology based on precise GPS-NRTK profiles: Test-case of Dune of Mónsul on the south-east Spanish coastline , 2013 .

[16]  Helena Mitasova,et al.  Geospatial analysis of a coastal sand dune field evolution: Jockey's Ridge, North Carolina , 2005 .

[17]  E. Robert Thieler,et al.  The Digital Shoreline Analysis System (DSAS) Version 4.0 - An ArcGIS extension for calculating shoreline change , 2009 .

[18]  Charles H. Fletcher,et al.  Mapping Shoreline Change Using Digital Orthophotogrammetry on Maui, Hawaii , 2003 .

[19]  Laura Tateosian,et al.  GIS-based Analysis of Coastal Lidar Time-Series , 2014, SpringerBriefs in Computer Science.