PS-InSAR Analysis of Precursory Deformation Before the September 2018 Naga Landslide, Philippines

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Authors: Jeremy Brian E. Ricofuerto, Nathan Azriel S. Veracruz
Cited by: 0

Abstract

Abstract. Persistent Scatterer Interferometry (PSI) has become a crucial remote sensing tool over the past decade for detecting and monitoring ground instabilities across various fields, including infrastructure development, geological hazards, and mining operations. By analyzing time-series radar data, PSI enables the detection of subtle surface displacements with millimeter-level accuracy, allowing for early warning and risk assessment. Human-induced activities, particularly mining and large-scale infrastructure projects, are known to cause excessive and often unintended ground deformation. On September 20, 2018, a deadly landslide occurred in Naga City, Cebu, Philippines, killing 78 people. The event was triggered by active quarrying operations conducted by a local mining company. In response to this tragedy, this study presents a retrospective remote analysis using the PS-InSAR (Persistent Scatterer Interferometric Synthetic Aperture Radar) technique to investigate the spatial and temporal characteristics of ground deformation in the affected area. By analyzing a time series of Sentinel-1B radar images prior to the landslide, this research aims to determine the significant displacements that began and how they evolved over time.

Fields of Study & Subjects

Synthetic Aperture Radar (SAR) Applications and Techniques Landslides and related hazards Geotechnical and Mining Engineering

Publication details

Journal / source
The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Volume
XLVIII-5/W4-2025
Pages
213–219
Publication date
10 February 2026
Language
EN