Building Damages Detection of the 2023 Ms 6.2 Jishishan （Gansu， China） Earthquake Using Multi-temporal Dual Polarization ALOS-2 /PALSAR-2 Data

ZHAO Jinqi; CHEN Zhangjie; NIU Yufen; ZHANG Shuangcheng; YAN Pengfei; WANG Xiaying

doi:10.13203/j.whugis20240118

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Building Damages Detection of the 2023 Ms 6.2 Jishishan （Gansu， China） Earthquake Using Multi-temporal Dual Polarization ALOS-2 /PALSAR-2 Data

Jishishan Earthquake | 更新时间：2026-11-05

- Building Damages Detection of the 2023 Ms 6.2 Jishishan （Gansu， China） Earthquake Using Multi-temporal Dual Polarization ALOS-2 /PALSAR-2 Data
- Geomatics and Information Science of Wuhan University Vol. 50, Issue 2, Pages: 284-296(2025)
- 作者机构：
  
  1.中国矿业大学环境与测绘学院，江苏徐州，221116
  2.河北工程大学矿业与测绘工程学院，河北邯郸，056038
  3.长安大学地质工程与测绘学院，陕西西安，710054
  4.北京博宇智图信息技术有限公司，北京，112009
  5.东华理工大学测绘工程学院，江西南昌，330013
- 作者简介：
- 基金信息：
- DOI：10.13203/j.whugis20240118
  CLC： P237
- Received：01 April 2024，
  
  Published：05 February 2025
- 稿件说明：
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赵金奇,陈樟杰,牛玉芬，等.利用多时相双极化ALOS-2/PALSAR-2影像的2023年积石山Ms 6.2地震建筑物损毁检测[J].武汉大学学报（信息科学版）,2025,50(2):284-296.

ZHAO Jinqi,CHEN Zhangjie,NIU Yufen,et al.Building Damages Detection of the 2023 Ms 6.2 Jishishan (Gansu, China) Earthquake Using Multi-temporal Dual Polarization ALOS-2 /PALSAR-2 Data[J].Geomatics and Information Science of Wuhan University,2025,50(2):284-296.
赵金奇,陈樟杰,牛玉芬，等.利用多时相双极化ALOS-2/PALSAR-2影像的2023年积石山Ms 6.2地震建筑物损毁检测[J].武汉大学学报（信息科学版）,2025,50(2):284-296. DOI：10.13203/j.whugis20240118

ZHAO Jinqi,CHEN Zhangjie,NIU Yufen,et al.Building Damages Detection of the 2023 Ms 6.2 Jishishan (Gansu, China) Earthquake Using Multi-temporal Dual Polarization ALOS-2 /PALSAR-2 Data[J].Geomatics and Information Science of Wuhan University,2025,50(2):284-296. DOI：10.13203/j.whugis20240118

摘要

2023-12-18凌晨，甘肃省积石山县发生Ms 6.2地震，造成17万间房屋严重损坏及倒塌。对震后建筑物损毁进行高精度检测，有助于快速了解建筑物损毁分布，为灾后应急救援提供重要支撑。合成孔径雷达（synthetic aperture radar，SAR）具备全天时、全天候对灾区进行观测的能力，且能够提供相位、强度与极化信息，如何充分利用SAR数据信息是精确提取损毁建筑物的关键。充分利用双极化ALOS-2/PALSAR-2影像强度与相位信息，联合双极化强度变化检测、相干性检测和合成孔径雷达干涉测量技术，对积石山地震进行建筑物损毁检测和同震形变场提取，并利用北京三号高分光学影像对建筑物损毁检测结果进行验证。实验结果表明：（1）双极化信息能够显著提升变化检测及同震形变场的监测精度；（2）经震前、震后高分辨率光学影像验证，证明联合强度变化检测和相干性检测技术均能够提取震区损毁建筑物，两者相互补充、互为印证；（3）同震形变场最大区域刘集乡、石塬镇，形变场周边地区大河家镇、官亭镇、吹麻滩镇均存在大量建筑损毁。

Abstract

Objectives

On December 18

2023

an Ms 6.2 earthquake occurred in Jishishan

Gansu Pro-vince

China

damaging 170 000 houses and severely affecting people's lives and property safety. Efficient and accurate detection can help to understand the distribution of building damage and provide crucial support for post-disaster emergency relief.

Methods

This paper combines intensity change detection

cohe-rence detection

and interferometric synthetic aperture radar technology using intensity and phase information from multi-temporal dual-polarized ALOS-2/PALSAR-2 images to identify building damage regions and coseismic deformation fields. First

a likelihood ratio change detection method is used to detect change regions from multi-temporal dual-polarization intensity images. Moreover

optimal coherence interferometric phase is extracted using different polarization mode combinations to obtain a more accurate coseismic deformation field. In addition

coherence change detection is introduced to detect different degrees of surface change distribution using pre- and post-earthquake interferometric coherence based on dual-polarization information. Finally

we combine intensity and coherence change detection results with world settlement footprint 2019 to map building damage regions.

Results

The Beijing⁃3 optical images with a 0.3 m resolution are used to verify the effective of proposed method in building damage mapping. And the experimental results show that: (1) Intensity change detection results based on dual-polarization information are significantly better than single polarization

and the coherence estimation results based on dual-polarization information are also superior to single polarization interferometric pairs. Besides

coseismic deformation field using dual-polarization information avoids more phase unwrapping errors

and the deformation magnitude is similar to the Sentinel-1 results. (2) In the seven earthquake-affected towns

using the intensity change detection with dual-polarization information can detect the building damage area about 0.448 9 km

and using cohe-rence change detection can detect the building damage area about 1.004 7 km

. (3) Both temporal intensity and coherence change detection methods can extract building damage. In most case

damage regions with coherence-based change detection generally larger than intensity-based.

Conclusions

(1) Dual-polarization information can significantly improve the accuracy of change detection and the coseismic deformation field.(2) Both intensity-based and coherence-based change detection using dual-polarization information can detect damaged buildings in the disaster area. (3) Compared to intensity-based change detection

coherence-based detection is more sensitive and detects a larger damage regions. (4) Intensity-based and coherence-based techniques can complement and corroborate each other

and effectively extract damaged buildings in the earthquake area.

关键词

Keywords

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