Research Article

Multi-temporal radar remote sensing for rapid assessment of earthquake-induced infrastructure damage: A comparative study of the 2024 Noto and 2019 Mianeh earthquakes

Volume: 8 July 3, 2026

Multi-temporal radar remote sensing for rapid assessment of earthquake-induced infrastructure damage: A comparative study of the 2024 Noto and 2019 Mianeh earthquakes

Abstract

Major earthquakes pose critical risks to urban infrastructure and human safety, necessitating rapid, precise, and quantitative post-event damage assessments. This study introduces a novel comparative framework for evaluating infrastructure damage from the 2024 Noto earthquake in Japan and the 2019 Mianeh earthquake in Iran using multi-temporal radar datasets: Sentinel-1 (C-band) and ALOS PALSAR-2 (L-band). Data preprocessing—including geocoding, radiometric calibration, and speckle filtering—was conducted to produce high-resolution coherence and backscatter intensity maps. Sequential coherence analysis identified reductions of 0.25–0.45 in severely impacted urban sectors, with the most pronounced declines in dense residential areas. Complementary backscatter intensity changes confirmed building collapses and surface deformations, particularly in industrial and critical infrastructure zones. Our results reveal that Sentinel-1 excels in capturing superficial, short-wavelength surface disruptions, while ALOS PALSAR-2 effectively detects deeper structural deformations. Importantly, integrating both datasets enhanced spatial accuracy of damage detection by approximately 18%, demonstrating a robust, quantitative methodology for rapid post-earthquake damage assessment. This integrated SAR approach offers a powerful tool for informed urban resilience planning, prioritizing reconstruction efforts, and advancing disaster response strategies.

Keywords

References

  1. Asian Disaster Reduction Center. (2012). Comparative study of disaster management of Japan and Kyrgyz Republic. Asian Disaster Reduction Center. Retrieved September 12, 2025, from http://www.adrc.asia/aboutus/vrdata/finalreport/2012A_KGZ_fr.pdf
  2. Asian Disaster Reduction Center. (2024). Disaster information: 2024 Noto Peninsula earthquake. Asian Disaster Reduction Center. Retrieved September 12, 2025, from https://www.adrc.asia
  3. Arciniegas, G. A., Bijker, W., Kerle, N., & Tolpekin, V. A. (2007). Coherence- and amplitude-based analysis of seismogenic damage in Bam, Iran, using ENVISAT ASAR data. IEEE Transactions on Geoscience and Remote Sensing, 45(6), 1571–1581. https://doi.org/10.1109/TGRS.2006.883149
  4. Azad, S., Saboor, N., Moradi, M., Ajhdari, A., Youssefi, T., Mashal, M., & Roustaei, M. (2017). Preliminary report on geological features of the Ezgaleh–Kermanshah earthquake (Mw 7.3), November 12, 2017, West Iran (SSD of GSI Preliminary Report No. 17-01, Ver. 01).
  5. Bai, Y., Adriano, B., Mas, E., & Koshimura, S. (2017). Machine learning based building damage mapping from the ALOS-2/PALSAR-2 SAR imagery: Case study of the 2016 Kumamoto earthquake. Journal of Disaster Research, 12(4), 646–655. https://doi.org/10.20965/jdr.2017.p0646
  6. Castriotta, A. G. (2017). Sentinel data access annual report of 2016 (Issue 1). European Space Agency.
  7. Conroy, G. (2024). Japan earthquakes: The science behind deadly tremors. Nature, 625, 228. https://doi.org/10.1038/d41586-024-00010-1
  8. Copernicus EMS. (2024). EMSR mapping products for the Noto Peninsula earthquake (Japan). Retrieved June 5, 2024, from https://emergency.copernicus.eu/mapping/list-of-activations/

Details

Primary Language

English

Subjects

Photogrammetry and Remote Sensing, Remote Sensing

Journal Section

Research Article

Publication Date

July 3, 2026

Submission Date

November 6, 2025

Acceptance Date

January 21, 2026

Published in Issue

Year 2026 Volume: 8

APA
Sanaei, F., Karimzadeh, S., & Feizizadeh, B. (2026). Multi-temporal radar remote sensing for rapid assessment of earthquake-induced infrastructure damage: A comparative study of the 2024 Noto and 2019 Mianeh earthquakes. Turkish Journal of Remote Sensing, 8. https://doi.org/10.51489/tuzal.1818589
AMA
1.Sanaei F, Karimzadeh S, Feizizadeh B. Multi-temporal radar remote sensing for rapid assessment of earthquake-induced infrastructure damage: A comparative study of the 2024 Noto and 2019 Mianeh earthquakes. TJRS. 2026;8. doi:10.51489/tuzal.1818589
Chicago
Sanaei, Fatemeh, Sadra Karimzadeh, and Bakhtiar Feizizadeh. 2026. “Multi-Temporal Radar Remote Sensing for Rapid Assessment of Earthquake-Induced Infrastructure Damage: A Comparative Study of the 2024 Noto and 2019 Mianeh Earthquakes”. Turkish Journal of Remote Sensing 8 (July). https://doi.org/10.51489/tuzal.1818589.
EndNote
Sanaei F, Karimzadeh S, Feizizadeh B (July 1, 2026) Multi-temporal radar remote sensing for rapid assessment of earthquake-induced infrastructure damage: A comparative study of the 2024 Noto and 2019 Mianeh earthquakes. Turkish Journal of Remote Sensing 8
IEEE
[1]F. Sanaei, S. Karimzadeh, and B. Feizizadeh, “Multi-temporal radar remote sensing for rapid assessment of earthquake-induced infrastructure damage: A comparative study of the 2024 Noto and 2019 Mianeh earthquakes”, TJRS, vol. 8, July 2026, doi: 10.51489/tuzal.1818589.
ISNAD
Sanaei, Fatemeh - Karimzadeh, Sadra - Feizizadeh, Bakhtiar. “Multi-Temporal Radar Remote Sensing for Rapid Assessment of Earthquake-Induced Infrastructure Damage: A Comparative Study of the 2024 Noto and 2019 Mianeh Earthquakes”. Turkish Journal of Remote Sensing 8 (July 1, 2026). https://doi.org/10.51489/tuzal.1818589.
JAMA
1.Sanaei F, Karimzadeh S, Feizizadeh B. Multi-temporal radar remote sensing for rapid assessment of earthquake-induced infrastructure damage: A comparative study of the 2024 Noto and 2019 Mianeh earthquakes. TJRS. 2026;8. doi:10.51489/tuzal.1818589.
MLA
Sanaei, Fatemeh, et al. “Multi-Temporal Radar Remote Sensing for Rapid Assessment of Earthquake-Induced Infrastructure Damage: A Comparative Study of the 2024 Noto and 2019 Mianeh Earthquakes”. Turkish Journal of Remote Sensing, vol. 8, July 2026, doi:10.51489/tuzal.1818589.
Vancouver
1.Fatemeh Sanaei, Sadra Karimzadeh, Bakhtiar Feizizadeh. Multi-temporal radar remote sensing for rapid assessment of earthquake-induced infrastructure damage: A comparative study of the 2024 Noto and 2019 Mianeh earthquakes. TJRS. 2026 Jul. 1;8. doi:10.51489/tuzal.1818589

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