Earthquake building damage detection based on synthetic-aperture-radar imagery and machine learning

Rao, Anirudh; Jung, Jungkyo; Silva, Vitor; Molinario, Giuseppe; Yun, Sang-Ho

doi:https://doi.org/10.5194/nhess-23-789-2023

Articles | Volume 23, issue 2

https://doi.org/10.5194/nhess-23-789-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-23-789-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 2

Research article

|

23 Feb 2023

Research article |

| 23 Feb 2023

Earthquake building damage detection based on synthetic-aperture-radar imagery and machine learning

Anirudh Rao, Jungkyo Jung, Vitor Silva, Giuseppe Molinario, and Sang-Ho Yun

Data sets

ZG3D: 3D model Grada Zagreba Office for Strategic Planning and City Development for the City of Zagreb https://zagreb.gdi.net/zg3d/

Nepal Buildings Humanitarian OpenStreetMap Team (HOT) and OpenStreetMap contributors https://data.humdata.org/dataset/hotosm_npl_buildings

Puerto Rico Buildings Humanitarian OpenStreetMap Team (HOT) and OpenStreetMap contributors https://data.humdata.org/dataset/hotosm_pri_buildings

USGS ShakeMap for the 2015 Gorkha earthquake U.S. Geological Survey https://earthquake.usgs.gov/earthquakes/eventpage/us20002926/shakemap/pga

USGS ShakeMap for the 2017 Puebla earthquake U.S. Geological Survey https://earthquake.usgs.gov/earthquakes/eventpage/us2000ar20/shakemap/pga

USGS ShakeMap for the 2020 Puerto Rico earthquake U.S. Geological Survey https://earthquake.usgs.gov/earthquakes/eventpage/us70006vll/shakemap/pga

USGS ShakeMap for the 2020 Zagreb earthquake U.S. Geological Survey https://earthquake.usgs.gov/earthquakes/eventpage/us70008dx7/shakemap/pga

ARIA Damage Proxy Map for the 2015 Gorkha earthquake Advanced Rapid Imaging and Analysis (ARIA) https://aria-share.jpl.nasa.gov/20150425-Nepal_EQ/DPM/

ARIA Damage Proxy Map for the 2017 Puebla earthquake Advanced Rapid Imaging and Analysis (ARIA) https://aria-share.jpl.nasa.gov/20170919-M7.1_Raboso_Mexico_EQ/DPM/

ARIA Damage Proxy Map for the 2020 Puerto Rico earthquake Advanced Rapid Imaging and Analysis (ARIA) https://aria-share.jpl.nasa.gov/20200106-Puerto_Rico_EQ/DPM/

ARIA Damage Proxy Map for the 2020 Zagreb earthquake Advanced Rapid Imaging and Analysis (ARIA) https://aria-share.jpl.nasa.gov/20200322_Zagreb_EQ/DPM/

Puerto Rico Mw 6.4 Earthquake Preliminary Damage Assessments Dashboard FEMA Geospatial Resource Center https://gis-fema.hub.arcgis.com/apps/FEMA::puerto-rico-m-6-4-earthquake-preliminary-damage-assessments-dashboard/explore

The Database of Post-Earthquake Building Usability Classification University of Zagreb and The City of Zagreb https://www.hcpi.hr/rezultati-procjena-ostecenja-gradevina-nakon-potresa-31

Model code and software

GEMScienceTools/eo-damage-detection: v1.0.0 Anirudh Rao https://doi.org/10.5281/zenodo.7578961

Short summary

This article presents a framework for semi-automated building damage assessment due to earthquakes from remote-sensing data and other supplementary datasets including high-resolution building inventories, while also leveraging recent advances in machine-learning algorithms. For three out of the four recent earthquakes studied, the machine-learning framework is able to identify over 50 % or nearly half of the damaged buildings successfully.