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DOI License: MIT

2025 Mw-7.7 Earthquake Impact Assessment in Myanmar and Thailand using Remote Sensing Data

Project Overview

MyanmarEQ2025 is a collaborative volunteer project under Integrated Multimodal Pattern Analysis for Climate Transformation Research Group at the University of Cambridge, focused on assessing post-earthquake building damage in Myanmar following the 2025 seismic event. The goal is to support rapid damage assessment using remote sensing data, image signal processing methods, and collaborative mapping tools.

Project Objectives

  • Rapid post-disaster building damage assessment using EO data and various signal processing methods
  • Visualize damage information through an interactive web map
  • Openly share geospatial data and findings for public and academic use

Areas of Interest

Areas of Interest

Data & Methods

The project utilizes pre- and post-event satellite imagery, machine learning-based classification, and crowdsourced tagging to identify and categorize building damage levels across affected regions.

Key components:

  • Building tagging outputs from volunteers
  • Damage classification based on change detection (amplitude/coherence)
  • Post-processing to reduce false positives
  • Visualization through Mapbox-based interactive maps

Web Map Visualization

https://impactsquad.github.io/Myanmar-Earthquake-Damage-Map/

Want to cite this GitHub repository?

If you use this project or its outputs in your research, please cite:

@dataset{dimasaka_2025_15245167,
  author       = {Dimasaka, Joshua and
                  Garg, Shagun and
                  Ma, Wanli and
                  Blok, Lisanne and
                  NAVA, LORENZO and
                  Colverd, Grace and
                  Lammoglia Cobo, María Fernanda and
                  Ding, Han and
                  Timmerman, Orlando and
                  Guo, Shaomin and
                  Marinoni, Andrea and
                  Selvakumaran, Sivasakthy},
  title        = {2025 Mw-7.7 Earthquake Impact Assessment in
                   Myanmar and Thailand using Remote Sensing Data
                  },
  month        = apr,
  year         = 2025,
  publisher    = {Zenodo},
  version      = {1.0.0},
  doi          = {10.5281/zenodo.15245167},
  url          = {https://doi.org/10.5281/zenodo.15245167},
}

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