Daily Nighttime Lights for Rapid Post-Earthquake Damage Assessment: Multi-Scale and Azimuthal Differences from the Mw 7.7 Myanmar Earthquake.
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| Title: | Daily Nighttime Lights for Rapid Post-Earthquake Damage Assessment: Multi-Scale and Azimuthal Differences from the Mw 7.7 Myanmar Earthquake. |
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| Authors: | Wu, Zihao1 (AUTHOR), Li, Xue1,2 (AUTHOR) leexue1211@hubdzj.gov.cn, Hu, Xiaoyi1,2 (AUTHOR), Huang, Yani1,2 (AUTHOR) |
| Source: | Remote Sensing. May2026, Vol. 18 Issue 9, p1371. 25p. |
| Subjects: | Satellite-based remote sensing, Spatial variation, Earthquakes, Emergency medical services, Remote sensing, Earthquake hazard analysis, Data analysis |
| Geographic Terms: | Myanmar |
| Abstract: | Highlights: What are the main findings? Daily VIIRS nighttime lights enable stable early post-earthquake mapping of impacted areas and reveal pronounced azimuthal asymmetry within intensity zones. Multi-scale analyses are complementary, with patch-based mapping better aligning with built-up objects at 500 m resolution and showing higher agreement with CEMS in well-lit urban areas. What are the implications of the main findings? Incorporating intensity and azimuth information improves the sensitivity of rapid post-earthquake damage assessment to spatial heterogeneity. The proposed framework supports timely identification of severely affected areas and priority-based allocation of emergency resources. On 28 March 2025, a Mw 7.7 earthquake struck central Myanmar, where rapid mapping of early impacts is crucial for post-earthquake assessment and emergency response. Existing nighttime light studies often emphasize single-scale brightness loss, with limited characterization of azimuthal differences within intensity zones and their coupling with population/building exposure, although these factors are essential for explaining spatially uneven earthquake impacts and for improving the interpretation of nighttime light loss patterns. This study integrates daily VIIRS nighttime lights (500 m) with USGS intensity and population/building density to build an intensity–azimuth framework with six directional sectors, quantify pre-/post-earthquake changes at county, patch, and pixel scales, apply bivariate LISA to detect local coupling patterns, and validate against CEMS Rapid Mapping. The results show clear scale complementarity: county aggregation robustly delineates the macro impact extent but smooths internal contrasts; pixel analysis captures fragmented disturbances yet is noise-sensitive; patch-based mapping best aligns with built-up areas at 500 m resolution and shows higher agreement with CEMS in well-lit urban areas. Azimuth–intensity patterns indicate more concentrated NTL reduction in north–south high-intensity zones (NTL = −0.53–−15.67 nW·cm−2·sr−1), with local rebounds in some east–west sectors. The framework provides interpretable support for rapid loss assessment and priority-based resource allocation. [ABSTRACT FROM AUTHOR] |
| Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 193715402 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Daily Nighttime Lights for Rapid Post-Earthquake Damage Assessment: Multi-Scale and Azimuthal Differences from the Mw 7.7 Myanmar Earthquake. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Wu%2C+Zihao%22">Wu, Zihao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Xue%22">Li, Xue</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> leexue1211@hubdzj.gov.cn</i><br /><searchLink fieldCode="AR" term="%22Hu%2C+Xiaoyi%22">Hu, Xiaoyi</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Huang%2C+Yani%22">Huang, Yani</searchLink><relatesTo>1,2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. May2026, Vol. 18 Issue 9, p1371. 25p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Satellite-based+remote+sensing%22">Satellite-based remote sensing</searchLink><br /><searchLink fieldCode="DE" term="%22Spatial+variation%22">Spatial variation</searchLink><br /><searchLink fieldCode="DE" term="%22Earthquakes%22">Earthquakes</searchLink><br /><searchLink fieldCode="DE" term="%22Emergency+medical+services%22">Emergency medical services</searchLink><br /><searchLink fieldCode="DE" term="%22Remote+sensing%22">Remote sensing</searchLink><br /><searchLink fieldCode="DE" term="%22Earthquake+hazard+analysis%22">Earthquake hazard analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Myanmar%22">Myanmar</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Highlights: What are the main findings? Daily VIIRS nighttime lights enable stable early post-earthquake mapping of impacted areas and reveal pronounced azimuthal asymmetry within intensity zones. Multi-scale analyses are complementary, with patch-based mapping better aligning with built-up objects at 500 m resolution and showing higher agreement with CEMS in well-lit urban areas. What are the implications of the main findings? Incorporating intensity and azimuth information improves the sensitivity of rapid post-earthquake damage assessment to spatial heterogeneity. The proposed framework supports timely identification of severely affected areas and priority-based allocation of emergency resources. On 28 March 2025, a Mw 7.7 earthquake struck central Myanmar, where rapid mapping of early impacts is crucial for post-earthquake assessment and emergency response. Existing nighttime light studies often emphasize single-scale brightness loss, with limited characterization of azimuthal differences within intensity zones and their coupling with population/building exposure, although these factors are essential for explaining spatially uneven earthquake impacts and for improving the interpretation of nighttime light loss patterns. This study integrates daily VIIRS nighttime lights (500 m) with USGS intensity and population/building density to build an intensity–azimuth framework with six directional sectors, quantify pre-/post-earthquake changes at county, patch, and pixel scales, apply bivariate LISA to detect local coupling patterns, and validate against CEMS Rapid Mapping. The results show clear scale complementarity: county aggregation robustly delineates the macro impact extent but smooths internal contrasts; pixel analysis captures fragmented disturbances yet is noise-sensitive; patch-based mapping best aligns with built-up areas at 500 m resolution and shows higher agreement with CEMS in well-lit urban areas. Azimuth–intensity patterns indicate more concentrated NTL reduction in north–south high-intensity zones (NTL = −0.53–−15.67 nW·cm−2·sr−1), with local rebounds in some east–west sectors. The framework provides interpretable support for rapid loss assessment and priority-based resource allocation. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/rs18091371 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 25 StartPage: 1371 Subjects: – SubjectFull: Satellite-based remote sensing Type: general – SubjectFull: Spatial variation Type: general – SubjectFull: Earthquakes Type: general – SubjectFull: Emergency medical services Type: general – SubjectFull: Remote sensing Type: general – SubjectFull: Earthquake hazard analysis Type: general – SubjectFull: Data analysis Type: general – SubjectFull: Myanmar Type: general Titles: – TitleFull: Daily Nighttime Lights for Rapid Post-Earthquake Damage Assessment: Multi-Scale and Azimuthal Differences from the Mw 7.7 Myanmar Earthquake. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wu, Zihao – PersonEntity: Name: NameFull: Li, Xue – PersonEntity: Name: NameFull: Hu, Xiaoyi – PersonEntity: Name: NameFull: Huang, Yani IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20724292 Numbering: – Type: volume Value: 18 – Type: issue Value: 9 Titles: – TitleFull: Remote Sensing Type: main |
| ResultId | 1 |
