Unmanned aerial vehicle large scale mapping for coastal erosion assessment

Most of the time, many countries in tropical region are covered by cloudwhich obstruct the acquisition of high resolution optical image from satellite. Thus,the application of large scale mapping for coastal erosion assessment is difficult to becarried out. The unmanned aerial vehicle (UAV) can be u...

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Main Author:	Darwin, Norhadija
Format:	Thesis
Language:	English
Published:	2017
Subjects:	G70.212-70.215 Geographic information system
Online Access:	http://eprints.utm.my/id/eprint/79435/1/NorhadijaDarwinPFGHT2017.pdf
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spelling	my-utm-ep.794352018-10-21T04:34:27Z Unmanned aerial vehicle large scale mapping for coastal erosion assessment 2017 Darwin, Norhadija G70.212-70.215 Geographic information system Most of the time, many countries in tropical region are covered by cloudwhich obstruct the acquisition of high resolution optical image from satellite. Thus,the application of large scale mapping for coastal erosion assessment is difficult to becarried out. The unmanned aerial vehicle (UAV) can be used for acquisition of highresolution image due to its ability of flying at low altitudes and under cloud cover.This study aims to improve the methodology of data acquisition for assessing erodedcoastal area by using UAV system designed for large scale mapping. The objectivesof this study are (i) to improve the methodology of data acquisition for large scalecoastal erosion assessment using UAV with rapid and low cost, (ii) to assess theaccuracy of the digital photogrammetric products obtained with different groundcontrol points (GCP) configurations and flying altitude, and (iii) to identify andassess coastal areas due to erosion based on the large-scale orthophoto produced.Two improved methods were introduced in this study: (i) rapid data acquisition andprocessing, low cost and accurate mapping using UAV, and (ii) modification of theend point rate (EPR) and linear regression rate (LRR) calculation methods byincluding two new parameters namely the sea water and wave level to detectcoastline changes. The modified EPR and LRR methods in detecting the coastlinechanges of Crystal Bay, Alai, Melaka and Kampung Seri Pantai, Mersing, Johorwere evaluated through statistical model, namely t-test and compared with otherstudies of similar area for validation and verification. Several configurations of GCP,check points (CP) and flying altitude were used to produce the digital elevationmodel (DEM) and orthophoto which were then processed photogrammetrically.Subsequently, the coastal erosion assessment was performed and the coastlinechanges of private properties, buildings and residential areas was identified. Theresults show that the best GCP configuration to produce coastal erosion mappingscale of 1:14000 is 25 points. Meanwhile, the best flying altitude is 300m withaccuracies of ±0.002m, ±0.004m and ±0.389m in Northing, Easting and Heightrespectively. Furthermore, this study shows that most of the coastline, privateproperties, buildings and residential areas are affected by the coastal erosion. Basedon the modified EPR and LRR calculation methods in determining the coastlinechanges, it is evident that the coastline change rate is significant. In conclusion, thisstudy shows that the UAV system offers many advantages such as its ability to fly atlow altitude, low cost, rapid data acquisition and processing in detecting coastlinechanges and accurate results. 2017 Thesis http://eprints.utm.my/id/eprint/79435/ http://eprints.utm.my/id/eprint/79435/1/NorhadijaDarwinPFGHT2017.pdf application/pdf en public phd doctoral Universiti Teknologi Malaysia, Faculty of Geoinformation and Real Estate Faculty of Geoinformation and Real Estate
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	G70.212-70.215 Geographic information system
spellingShingle	G70.212-70.215 Geographic information system Darwin, Norhadija Unmanned aerial vehicle large scale mapping for coastal erosion assessment
description	Most of the time, many countries in tropical region are covered by cloudwhich obstruct the acquisition of high resolution optical image from satellite. Thus,the application of large scale mapping for coastal erosion assessment is difficult to becarried out. The unmanned aerial vehicle (UAV) can be used for acquisition of highresolution image due to its ability of flying at low altitudes and under cloud cover.This study aims to improve the methodology of data acquisition for assessing erodedcoastal area by using UAV system designed for large scale mapping. The objectivesof this study are (i) to improve the methodology of data acquisition for large scalecoastal erosion assessment using UAV with rapid and low cost, (ii) to assess theaccuracy of the digital photogrammetric products obtained with different groundcontrol points (GCP) configurations and flying altitude, and (iii) to identify andassess coastal areas due to erosion based on the large-scale orthophoto produced.Two improved methods were introduced in this study: (i) rapid data acquisition andprocessing, low cost and accurate mapping using UAV, and (ii) modification of theend point rate (EPR) and linear regression rate (LRR) calculation methods byincluding two new parameters namely the sea water and wave level to detectcoastline changes. The modified EPR and LRR methods in detecting the coastlinechanges of Crystal Bay, Alai, Melaka and Kampung Seri Pantai, Mersing, Johorwere evaluated through statistical model, namely t-test and compared with otherstudies of similar area for validation and verification. Several configurations of GCP,check points (CP) and flying altitude were used to produce the digital elevationmodel (DEM) and orthophoto which were then processed photogrammetrically.Subsequently, the coastal erosion assessment was performed and the coastlinechanges of private properties, buildings and residential areas was identified. Theresults show that the best GCP configuration to produce coastal erosion mappingscale of 1:14000 is 25 points. Meanwhile, the best flying altitude is 300m withaccuracies of ±0.002m, ±0.004m and ±0.389m in Northing, Easting and Heightrespectively. Furthermore, this study shows that most of the coastline, privateproperties, buildings and residential areas are affected by the coastal erosion. Basedon the modified EPR and LRR calculation methods in determining the coastlinechanges, it is evident that the coastline change rate is significant. In conclusion, thisstudy shows that the UAV system offers many advantages such as its ability to fly atlow altitude, low cost, rapid data acquisition and processing in detecting coastlinechanges and accurate results.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Darwin, Norhadija
author_facet	Darwin, Norhadija
author_sort	Darwin, Norhadija
title	Unmanned aerial vehicle large scale mapping for coastal erosion assessment
title_short	Unmanned aerial vehicle large scale mapping for coastal erosion assessment
title_full	Unmanned aerial vehicle large scale mapping for coastal erosion assessment
title_fullStr	Unmanned aerial vehicle large scale mapping for coastal erosion assessment
title_full_unstemmed	Unmanned aerial vehicle large scale mapping for coastal erosion assessment
title_sort	unmanned aerial vehicle large scale mapping for coastal erosion assessment
granting_institution	Universiti Teknologi Malaysia, Faculty of Geoinformation and Real Estate
granting_department	Faculty of Geoinformation and Real Estate
publishDate	2017
url	http://eprints.utm.my/id/eprint/79435/1/NorhadijaDarwinPFGHT2017.pdf
_version_	1747818226740363264

Unmanned aerial vehicle large scale mapping for coastal erosion assessment

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