ValInSAR: A Systematic Approach for the Validation of Differential SAR Interferometry in Land Subsidence Areas

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Title: ValInSAR: A Systematic Approach for the Validation of Differential SAR Interferometry in Land Subsidence Areas
Authors: Navarro-Hernández, María Inés | Valdes-Abellan, Javier | Tomás, Roberto | Lopez-Sanchez, Juan M. | Ezquerro Martín, Pablo | Bru, Guadalupe | Bonì, Roberta | Meisina, Claudia | Herrera García, Gerardo
Research Group/s: Ingeniería del Terreno y sus Estructuras (InTerEs) | Ingeniería Hidráulica y Ambiental (INGHA) | Señales, Sistemas y Telecomunicación
Center, Department or Service: Universidad de Alicante. Departamento de Ingeniería Civil | Universidad de Alicante. Departamento de Física, Ingeniería de Sistemas y Teoría de la Señal | Universidad de Alicante. Instituto Universitario de Investigación Informática
Keywords: Accuracy | Differential interferometric synthetic aperture radar (DInSAR) | Land subsidence | Validation
Knowledge Area: Ingeniería del Terreno | Ingeniería Hidráulica | Teoría de la Señal y Comunicaciones
Issue Date: 3-May-2022
Publisher: IEEE
Citation: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2022, 15: 3650-3671.
Abstract: Land subsidence is a natural or anthropogenic process triggering the settlement of the Earths surface. When this phenomenon is induced by groundwater withdrawal, compaction of unconsolidated sediments causes land displacement. Differential Interferometric Synthetic Aperture Radar (DInSAR) is widely used nowadays to monitor subsidence over extensive areas. However, validation of DInSAR measurements with in-situ techniques is lacking in many case studies, reducing the reliability of further analyses. The aim of this study is to propose a systematic methodology to validate DInSAR measurements with in-situ techniques to obtain reliable subsidence measurements. The paper provides a literature review of the most common approaches to validate DInSAR measurements and a description of the proposed systematic methodology, which is supported by a MATLAB open-source code. The methodology allows the analysis of both DInSAR-based velocity and displacement time series. We propose a set of statistics to assess the accuracy of the DInSAR estimates. For this purpose, RMSE parameters have been normalised with the range and the average of the in-situ deformation values. Moreover, combining these normalised parameters with the Pearson correlation coefficient (R2) a classification scheme is recommended for accepting/rejecting the DInSAR data for further analyses. This methodology has been applied in three study areas characterised by very well-documented subsidence processes: The Alto Guadalentn valley and Murcia city in Spain, and San Luis Potos in Mexico.
Sponsor: María I. Navarro-Hernández is funded by the PRIMA programme supported by the European Union under grant agreement No 1924, project RESERVOIR. It also has been supported by the Spanish Ministry of Science and Innovation, the State Agency of Research (AEI) and the European funds for Regional Development (EFRD) under project PID2020-117303GB-C22. The research was carried out in the framework of ESA-MOST China DRAGON-5 project (ref. 59339).
ISSN: 1939-1404 (Print) | 2151-1535 (Online)
DOI: 10.1109/JSTARS.2022.3171517
Language: eng
Type: info:eu-repo/semantics/article
Rights: © The authors. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see
Peer Review: si
Publisher version:
Appears in Collections:INV - IngHA - Artículos de Revistas
INV - INTERES - Artículos de Revistas
INV - SST - Artículos de Revistas

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