Spatial dynamics of earthquake-induced displacement: integrating Sentinel-1 and hotspot analysis in Myanmar’s 2025 Mw 7.7 event for post-disaster resource planning

Spatial dynamics of earthquake-induced displacement: integrating Sentinel-1 and hotspot analysis in Myanmar’s 2025 Mw 7.7 event for post-disaster resource planning | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Spatial dynamics of earthquake-induced displacement: integrating Sentinel-1 and hotspot analysis in Myanmar’s 2025 Mw 7.7 event for post-disaster resource planning Surajit Ghosh, Arpan Dawn, Sneha Kour, Anushka Chakraborty, Ushashi Sarkar, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7942674/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Myanmar has been experiencing intra-state conflict since 2021. Amid this crisis, a 7.7-magnitude earthquake struck near the town of Mandalay on March 28, 2025, causing devastating damage. In the present study, a hotspot analysis of historical earthquakes across the country was conducted using USGS data, and the vertical displacement of the Mandalay region was determined using InSAR techniques. A century-scale historical event (1900-2025) assessment helps in the identification of high-risk areas, such as Mandalay and Pyay. Using the optimized Getis-Ord Gi statistic provides useful information for preparing risk reduction strategies. Sentinel-1 SLC (Single Look Complex) data were used to determine interferometric displacement measurements. Geocoding and stacking of pre (22/03/2025) and post-event (03/04/2025) images, along with Interferogram formation, phase filtering, and calculation of displacement, were performed. Initial results show a maximum displacement of 62 cm along the eastern side of the Sagaing fault line and a maximum of -22 cm vertical displacement on the western side. A cloud analytics-based Google Earth Engine web application was used for the visualization of these layers, supporting actionable insights for disaster response and risk reduction in the affected region. In addition to infrastructure losses, the earthquake caused severe damage to heritage structures that have long been at risk and have repeatedly been impacted by seismic activity in Myanmar. Thus, the study can help in the development of a more effective response strategy and regional economic resilience for earthquakes in South and Southeast Asia. Earthquake Optimized Getis-Ord Gi InSAR Spatial autocorrelation disaster risk reduction Myanmar Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7942674","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":541953254,"identity":"e88ea739-e555-49c6-bc71-05e7ab868167","order_by":0,"name":"Surajit 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