3D Land Mapping and Land Deformation Monitoring Using Persistent Scatterer Interferometry (PSI) ALOS PALSAR: Validated by Geodetic GPS and UAV
Author(s) -
Pakhrur Razi,
Josaphat Tetuko Sri Sumantyo,
Daniele Perissin,
Hiroaki Kuze,
Ming Yam Chua,
Good Fried Panggabean
Publication year - 2018
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2018.2804899
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
Complex topography and geological formation are the primary causes of frequent land deformation occurrence at Kelok Sembilan area, West Sumatra, Indonesia. This paper presents a research work on land mapping and land deformation monitoring carried out using persistent scatterer interferometry (PSI) synthetic aperture radar (SAR) technique at Kelok Sembilan bridge region. In this paper, 13 ascending Advanced Land Observation Satellite Phased Array L-band Synthetic Aperture Radar (ALOS PALSAR) scenes, taken from July 2007 to November 2010, were processed using PSI-SAR technique. Then, the land deformation analysis was performed in two of the critical landslide areas near the Kelok Sembilan bridge. For validation purpose, the results were compared with in situ ground measurement data obtained using both differential global positioning system technique, and 3-D photogrammetry technique based unmanned aerial vehicle. The land deformation analysis showed that both of the investigation areas are suffering a severe land movement of approximately -100 mm every year. In addition to that, the validation results showed erroneousness of less than 0.3%.
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