Cartography in Early Warning and Crisis Management

Sensor data for early warning and disaster risk reduction and management - II

3704.2 - Semi-automated landform classification for hazard mapping of soil liquefaction by earthquake

Monday, July 3
4:30 PM - 4:50 PM
Location: Virginia B

Soil liquefaction damages were caused by huge earthquake in Japan, and the similar damages are concerned by future huge earthquake. On the other hand, a preparation of soil liquefaction risk map (soil liquefaction hazard map) is impeded by the difficulty of evaluation of soil liquefaction risk. Generally, relative soil liquefaction risk should be able to be evaluated from landform classification data by using experimental rule based on the relationship between extent of soil liquefaction damage and landform classification items associated with past earthquake.
Therefore, I rearranged the relationship between landform classification items and soil liquefaction risk intelligibly in order to enable the evaluation of soil liquefaction risk based on landform classification data properly and effectively. And I developed a new method of generating landform classification data of 50-m grid size from existing landform classification data of 250-m grid size by using digital elevation model (DEM) data and multi-band satellite image data in order to evaluate soil liquefaction risk in detail spatially.
It is expected that the products of this study contribute to efficient producing of soil liquefaction hazard map by local government.

Takayuki Nakano

Researcher, Geography and Crustal Dynamics Research Center
Geospatial Information Authority of Japan

Takayuki Nakano, Geospatial Information Authority of Japan
My biography & carrier
1977: Born in Japan
2000: Graduated from the Department of Earth Sciences, Faculty of Science, University of Toyama, Japan
2002: Completed from Graduate School of Science and Engineering for Science (MSc), University of Toyama, Japan
2002: Entered the Geospatial Information Authority of Japan
2008: Assigned Researcher of the Geography and Crustal Dynamics Research Center, Geospatial Information Authority of Japan
2010: Completed from Graduate School of Science and Engineering for Science (PhD), University of Toyama, Japan

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Jonathan Li

Professor
University of Waterloo

Jonathan Li is a full professor with the Department of Geography and Environmental Management, University of Waterloo, Waterloo, Ontario, Canada, He received the PhD degree in remote sensing and geoinformatics from the University of Cape Town, South Africa in 2000. His research interests include information extraction from earth observation imagery and mobile laser scanning data. He is chair of the ICA Commission on SEnsor-driven Mapping (2015-2019). He is Associate Editor of IEEE-TITS, IEEE-JSTARS, and Sensors.

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