The coastal zone requires reliable data that provides insight into its dynamic morphological change. This presentation provides a case study of assessing shoreline change utilising various Remote Sensing sources such as satellite imagery (PlanetScope), aerial photos, and UAV surveys. The research represents an integration of high-resolution primary data collection to validate a model of multi-spectral indices. The results provide an innovative method of monitoring the coastline that could provide greater landscape level insights.
The monitoring of the coastal zone requires accurate and reliable sets of data that provides indicators of the short and long-term changes that it experiences. This presentation provides a case study focused around the Cape Jaffa Marina in South Australia, assessing shoreline change associated with a constructed canal estate and adjacent coast. The research is comprised of a GIS based analysis of shoreline change utilising:
(i) high-resolution aerial imagery prior to construction;
(ii) satellite imagery post construction; and
(iii) Unmanned Aerial Vehicle (UAV) surveys to assess localised morphological change.
The shoreline change was assessed in the Digital Shoreline Analysis System (DSAS) extension of ESRI’s ArcGIS (2019) to provide rates of change statistics of the past two decades. Five separate UAV surveys provide the data for Structure from Motion (SfM) photogrammetry and the creation of high-resolution (1.23 cm/pixel) Digital Surface Models (DSMs) in the drone photogrammetry software Pix4D (2019) to evaluate morphological change over time around the Cape Jaffa Marina from August 2018 to September 2019. The Planetscope satellite system provides multispectral satellite imagery that is utilised to evaluate shoreline change at a high spatial (3m) and temporal scale through Remote Sensing indices and represents an innovative approach to the monitoring of earth’s systems. The case study represents an integration of high-resolution primary data collected by UAV surveys with daily satellite imagery to validate a Remote Sensing model. The results of this research provide a method for a monitoring program that could provide insights into the conditions along South Australia’s greater coastline.
Time & room
1.30 pm–1.45 pm in City Room 3
Mr Marcio DaSilva
Date & venue
Friday, 25 October 2019 at the Adelaide Convention Centre