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Matsuoka Lab
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The lab detects disaster damage from satellites and applies it to disaster prevention.
AboutAbout the lab
Reducing disasters with geoinformatics
The Matsuoka Lab studies how to assess damage from wide-area disasters such as massive earthquakes and tsunamis, and how to evaluate urban environments.
Using geoinformatics, such as GIS and remote sensing, it captures damage to urban structures such as buildings and to lifelines.
It also applies machine learning on big data, and provides practical education that builds the ability to handle disaster information.
The lab flexibly incorporates knowledge from a wide range of fields, including measurement technology, image processing, and information technology, and applies it to disaster prevention and urban environment evaluation.
Key terms
- Geoinformatics
- A body of technologies for collecting, analyzing, and using data tied to location
- Remote sensing
- Technology for measuring conditions on the ground surface from a distance, using satellites or aircraft
- GIS (geographic information system)
- A geographic information system that layers data such as buildings and population on a map for analysis
NewsLab news
View More ↗ResearchResearch themes
The lab studies how to assess damage to urban structures such as buildings and to lifelines in wide-area disasters such as massive earthquakes and tsunamis, and how to evaluate urban environments. Beyond the fundamentals of earthquake engineering, it incorporates the latest knowledge from a wide range of fields, including measurement technology, image processing, information technology, and machine learning, and applies it to disaster prevention.
*Illustrative imageAssessing damage from satellite radar images
After a major earthquake, quickly assessing damage over a wide area is the first step toward rescue and recovery. Using satellite radar images, which can capture the ground surface even through clouds or at night, the lab studies methods to read building damage, liquefaction, and road damage.
*Illustrative imageIdentifying house damage with photos and AI
Inspecting damaged houses one by one takes time. The lab develops methods that analyze photos taken on site and aerial photos with deep learning, to automatically identify the degree of damage to wooden houses and buildings that have collapsed.
*Illustrative imageKnowing earthquake-vulnerable cities in advance
To prepare before earthquakes, the lab works with local researchers in overseas cities such as Lima, Peru, to build systems that estimate building structure types and heights from satellite images and other data, and quickly estimate shaking and damage.
MembersFaculty
The members of the Matsuoka Lab are faculty, administrative assistants, doctoral, master's, and undergraduate students, commissioned researchers, and postdoctoral researchers.As of 2026
- ProfessorMasashi MatsuokaPublications ↗
- Assistant ProfessorKoji OginoPublications ↗
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Delhi Aerial View, Satellite Image, India September 2003” NASA / Public domain (cropped)
- Assessing damage from satellite radar images: “Synthetic aperture radar image of Cleveland, OH” Umbra Lab, Inc. / CC BY-SA 4.0 (cropped)
- Identifying house damage with photos and AI: “US Navy 110315-N-2653B-107 An upended house is among debris in Ofunato, Japan, following a 9.0 magnitude earthquake and subsequent tsunami” U.S. Navy photo by Mass Communication Specialist 1st Class Matthew M. Bradley / Public domain (cropped)
- Knowing earthquake-vulnerable cities in advance: “Lima, Peru Astronaut Imagery” NASA Astronauts / Public domain (cropped)
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