Analysis of Sentinel-1 and Sentinel-2 data for post-earthquake reconstruction monitoring: a case study of the 2024 Noto Peninsula earthquake

Sentinel-1 and Sentinel-2 have been widely used for earthquake damage detection; however, their use in monitoring long-term recovery activities remains largely unexplored. This study evaluates the effectiveness of Sentinel-1 and Sentinel-2 satellite observations for monitoring post-earthquake recovery processes. Focusing on the 2024 Noto Peninsula earthquake, indices were used to assess the detectability of surface changes associated with two key recovery activities: debris removal and temporary housing construction. A detailed analysis of the long-term Sentinel-1 backscatter time-series monitoring was conducted. Public demolition sites exhibited characteristic temporal changes in the vertical transmit–horizontal receive polarization: an initial increase associated with debris generation, followed by a gradual decrease, and then a sharp decline corresponding to the commencement of demolition. At the temporary housing construction sites, the vertical transmit–vertical receive polarization values increased rapidly during construction and remained elevated. The findings revealed that different recovery activities produce distinct backscatter signatures, suggesting that synthetic aperture radar time-series analysis can serve as an effective tool for characterizing post-disaster recovery. Applying these temporal patterns across wider areas enables the identification of collapsed structures and newly constructed temporary housing. This study demonstrated the potential of freely available satellite data to systematically monitor reconstruction processes.

Authors

Institutions

Publication Details

Journal
European Journal of Remote Sensing
Published
2026-04-12
DOI
https://doi.org/10.1080/22797254.2026.2657624
Primary Topic
earthquake and tectonic studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Sentinel-1 and Sentinel-2 data for post-earthquake reconstruction monitoring: a case study of the 2024 Noto Peninsula earthquake

H. Sato, Soichiro Yasukawa
European Journal of Remote Sensing
earthquake and tectonic studies
article

Analysis of Sentinel-1 and Sentinel-2 data for post-earthquake reconstruction monitoring: a case study of the 2024 Noto Peninsula earthquake

H. Sato, Soichiro Yasukawa
article en

Abstract

Sentinel-1 and Sentinel-2 have been widely used for earthquake damage detection; however, their use in monitoring long-term recovery activities remains largely unexplored. This study evaluates the effectiveness of Sentinel-1 and Sentinel-2 satellite observations for monitoring post-earthquake recovery processes. Focusing on the 2024 Noto Peninsula earthquake, indices were used to assess the detectability of surface changes associated with two key recovery activities: debris removal and temporary housing construction. A detailed analysis of the long-term Sentinel-1 backscatter time-series monitoring was conducted. Public demolition sites exhibited characteristic temporal changes in the vertical transmit–horizontal receive polarization: an initial increase associated with debris generation, followed by a gradual decrease, and then a sharp decline corresponding to the commencement of demolition. At the temporary housing construction sites, the vertical transmit–vertical receive polarization values increased rapidly during construction and remained elevated. The findings revealed that different recovery activities produce distinct backscatter signatures, suggesting that synthetic aperture radar time-series analysis can serve as an effective tool for characterizing post-disaster recovery. Applying these temporal patterns across wider areas enables the identification of collapsed structures and newly constructed temporary housing. This study demonstrated the potential of freely available satellite data to systematically monitor reconstruction processes.

European Journal of Remote SensingVol. 59(1)
National Science and Technology Center for Disaster Reduction (TW), UNESCO (FR), Kyoto University (JP)
Climate action
Openalex Percentile: Top 18%
earthquake and tectonic studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.