Monitoring land subsidence of airport using InSAR time-series techniques with atmospheric and orbital error corrections

Land subsidence is one of the common geological hazards worldwide and mostly caused by human activities including the construction of massive infrastructures. Large infrastructure such as airport is susceptible to land subsidence due to several factors. Therefore, monitoring of the land subsidence a...

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Main Author:	Mohamad Radhi, Anis Afirah
Format:	Thesis
Language:	English
Published:	2017
Subjects:	G70.39-70.6 Remote sensing
Online Access:	http://eprints.utm.my/id/eprint/78481/1/AnisAfirahMohamadMFGHT2017.pdf
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spelling	my-utm-ep.784812018-08-26T11:56:30Z Monitoring land subsidence of airport using InSAR time-series techniques with atmospheric and orbital error corrections 2017-01 Mohamad Radhi, Anis Afirah G70.39-70.6 Remote sensing Land subsidence is one of the common geological hazards worldwide and mostly caused by human activities including the construction of massive infrastructures. Large infrastructure such as airport is susceptible to land subsidence due to several factors. Therefore, monitoring of the land subsidence at airport is crucial in order to prevent undesirable loss of property and life. Remote sensing technique, especially Interferometric Synthetic Aperture Radar (InSAR) has been successfully applied to measure the surface deformation over the past few decades although atmospheric artefact and orbital errors are still a concerning issue in this measurement technique. Multi-temporal InSAR, an extension of InSAR technique, uses large sets of SAR scenes to investigate the temporal evolution of surface deformation and mitigate errors found in a single interferogram. This study investigates the long-term land subsidence of the Kuala Lumpur International Airport (KLIA), Malaysia and Singapore Changi Airport (SCA), Singapore by using two multi-temporal InSAR techniques like Small Baseline Subset (SBAS) and Multiscale InSAR Time Series (MInTS). General InSAR processing was conducted to generate interferogram using ALOS PALSAR data from 2007 until 2011. Atmospheric and orbital corrections were carried out for all interferograms using weather model, namely European Centre for Medium Range Weather Forecasting (ECMWF) and Network De-Ramping technique respectively before estimating the time series land subsidence. The results show variation of subsidence with respect to corrections (atmospheric and orbital) as well as difference between multi-temporal InSAR techniques (SBAS and MInTS) used. After applying both corrections, a subsidence ranging from 2 to 17 mm/yr was found at all the selected areas at the KLIA. Meanwhile, for SCA, a subsidence of about less than 10 mm/yr was found. Furthermore, a comparison between two techniques (SBAS and MInTS) show a difference rate of subsidence of about less than 1 mm/yr for both study area. SBAS technique shows more linear result as compared to the MInTS technique which shows slightly scattering pattern but both techniques show a similar trend of surface deformation in both study sites. No drastic deformation was observed in these two study sites and slight deformation was detected which about less than 20mm/yr for both study areas probably occurred due to several reasons including conversion of the land use from agricultural land, land reclamation process and also poor construction. This study proved that InSAR time series surface deformation measurement techniques are useful as well as capable to monitor deformation of large infrastructure such as airport and as an alternative to costly conventional ground measurement for infrastructure monitoring. 2017-01 Thesis http://eprints.utm.my/id/eprint/78481/ http://eprints.utm.my/id/eprint/78481/1/AnisAfirahMohamadMFGHT2017.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:108790 masters 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	G70.39-70.6 Remote sensing
spellingShingle	G70.39-70.6 Remote sensing Mohamad Radhi, Anis Afirah Monitoring land subsidence of airport using InSAR time-series techniques with atmospheric and orbital error corrections
description	Land subsidence is one of the common geological hazards worldwide and mostly caused by human activities including the construction of massive infrastructures. Large infrastructure such as airport is susceptible to land subsidence due to several factors. Therefore, monitoring of the land subsidence at airport is crucial in order to prevent undesirable loss of property and life. Remote sensing technique, especially Interferometric Synthetic Aperture Radar (InSAR) has been successfully applied to measure the surface deformation over the past few decades although atmospheric artefact and orbital errors are still a concerning issue in this measurement technique. Multi-temporal InSAR, an extension of InSAR technique, uses large sets of SAR scenes to investigate the temporal evolution of surface deformation and mitigate errors found in a single interferogram. This study investigates the long-term land subsidence of the Kuala Lumpur International Airport (KLIA), Malaysia and Singapore Changi Airport (SCA), Singapore by using two multi-temporal InSAR techniques like Small Baseline Subset (SBAS) and Multiscale InSAR Time Series (MInTS). General InSAR processing was conducted to generate interferogram using ALOS PALSAR data from 2007 until 2011. Atmospheric and orbital corrections were carried out for all interferograms using weather model, namely European Centre for Medium Range Weather Forecasting (ECMWF) and Network De-Ramping technique respectively before estimating the time series land subsidence. The results show variation of subsidence with respect to corrections (atmospheric and orbital) as well as difference between multi-temporal InSAR techniques (SBAS and MInTS) used. After applying both corrections, a subsidence ranging from 2 to 17 mm/yr was found at all the selected areas at the KLIA. Meanwhile, for SCA, a subsidence of about less than 10 mm/yr was found. Furthermore, a comparison between two techniques (SBAS and MInTS) show a difference rate of subsidence of about less than 1 mm/yr for both study area. SBAS technique shows more linear result as compared to the MInTS technique which shows slightly scattering pattern but both techniques show a similar trend of surface deformation in both study sites. No drastic deformation was observed in these two study sites and slight deformation was detected which about less than 20mm/yr for both study areas probably occurred due to several reasons including conversion of the land use from agricultural land, land reclamation process and also poor construction. This study proved that InSAR time series surface deformation measurement techniques are useful as well as capable to monitor deformation of large infrastructure such as airport and as an alternative to costly conventional ground measurement for infrastructure monitoring.
format	Thesis
qualification_level	Master's degree
author	Mohamad Radhi, Anis Afirah
author_facet	Mohamad Radhi, Anis Afirah
author_sort	Mohamad Radhi, Anis Afirah
title	Monitoring land subsidence of airport using InSAR time-series techniques with atmospheric and orbital error corrections
title_short	Monitoring land subsidence of airport using InSAR time-series techniques with atmospheric and orbital error corrections
title_full	Monitoring land subsidence of airport using InSAR time-series techniques with atmospheric and orbital error corrections
title_fullStr	Monitoring land subsidence of airport using InSAR time-series techniques with atmospheric and orbital error corrections
title_full_unstemmed	Monitoring land subsidence of airport using InSAR time-series techniques with atmospheric and orbital error corrections
title_sort	monitoring land subsidence of airport using insar time-series techniques with atmospheric and orbital error corrections
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/78481/1/AnisAfirahMohamadMFGHT2017.pdf
_version_	1747817995279794176

Monitoring land subsidence of airport using InSAR time-series techniques with atmospheric and orbital error corrections

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