Integrating Strong Ground Motion Simulation with Nighttime Light Remote Sensing for Seismic Damage Assessment in the 2025 Dingri Mw7.1 Earthquake

On 7 January 2025, an Mw7.1 earthquake struck Dingri County, Tibet, causing severe damage in a high-altitude, sparsely instrumented region where traditional damage assessment methods are limited. To address this, we developed an integrated "source simulation–nighttime light validation" framework. First, a kinematic source model (constrained by InSAR and teleseismic data) and the Unified Seismic Tomography models for continental China lithosphere 2.0 (USTClitho2.0) velocity model were used with the curved-grid finite difference method to simulate high-resolution ground motion and intensity fields. Second, NASA Black Marble (VNP46A2) nighttime light data, processed with the Block-Matching and 3D filtering (BM3D) algorithm, were analyzed to compute pixel-level radiance changes and township-level total nighttime light loss rates (TNLR). The results reveal a high spatial consistency between simulated high-intensity zones and areas of significant light loss. For instance, Mangpu Township, within a simulated high-intensity zone, exhibited a TNLR of 44.7%. This demonstrates that nighttime light remote sensing can effectively validate physical simulations in areas lacking dense seismic networks. Our framework provides a novel, complementary methodology for rapid and reliable post-earthquake damage assessment in high-mountain, data-sparse regions.

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Publication Details

Journal
Remote Sensing
Published
2026-01-26
DOI
https://doi.org/10.3390/rs18030414
Primary Topic
Impact of Light on Environment and Health
Type
article
Field-Weighted Citation Impact
0.00

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article

Integrating Strong Ground Motion Simulation with Nighttime Light Remote Sensing for Seismic Damage Assessment in the 2025 Dingri Mw7.1 Earthquake

W. Wang, Ke Sun, Fang Ouyang
Remote Sensing
Impact of Light on Environment and Health
article

Integrating Strong Ground Motion Simulation with Nighttime Light Remote Sensing for Seismic Damage Assessment in the 2025 Dingri Mw7.1 Earthquake

W. Wang, Ke Sun, Fang Ouyang
article en

Abstract

On 7 January 2025, an Mw7.1 earthquake struck Dingri County, Tibet, causing severe damage in a high-altitude, sparsely instrumented region where traditional damage assessment methods are limited. To address this, we developed an integrated "source simulation–nighttime light validation" framework. First, a kinematic source model (constrained by InSAR and teleseismic data) and the Unified Seismic Tomography models for continental China lithosphere 2.0 (USTClitho2.0) velocity model were used with the curved-grid finite difference method to simulate high-resolution ground motion and intensity fields. Second, NASA Black Marble (VNP46A2) nighttime light data, processed with the Block-Matching and 3D filtering (BM3D) algorithm, were analyzed to compute pixel-level radiance changes and township-level total nighttime light loss rates (TNLR). The results reveal a high spatial consistency between simulated high-intensity zones and areas of significant light loss. For instance, Mangpu Township, within a simulated high-intensity zone, exhibited a TNLR of 44.7%. This demonstrates that nighttime light remote sensing can effectively validate physical simulations in areas lacking dense seismic networks. Our framework provides a novel, complementary methodology for rapid and reliable post-earthquake damage assessment in high-mountain, data-sparse regions.

Remote SensingVol. 18(3)
China Earthquake Administration (CN)
Strong, China Earthquake Administration, Southern University of Science and Technology, Institute of Engineering Mechanics, China Earthquake Administration, National Key Research and Development Program of China
Sustainable cities and communities
Openalex Percentile: Top 85%
Impact of Light on Environment and Health
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Integrating Strong Ground Motion Simulation with Nighttime Light Remote Sensing for Seismic Damage Assessment in the 2025 Dingri Mw7.1 Earthquake — W. Wang, Ke Sun, et al. · Remote Sensing (2026) | TGRS Research Map | TGRS