Dr. Akira Kato received Ph.D. at University of Washington, Seattle, USA. His specialty is forest remote sensing, especially LiDAR (Light Detection and Ranging). There are three main research topics, the reconstruction of tree crown structure from high resolution LiDAR data using computer graphic technique, quantification of the woody biomass using terrestrial laser, and monitoring forest disaster (forest fire) using Google Earth Engine. A portable terrestrial laser scanner has been developed and used to take 3D data of any type of forest (from tropical to boreal forest) in the world to automate field survey as field validation of satellite remote sensing. He received teaching awards, the best teaching award from College of Forest Resources, University of Washington and best teaching surveying and GIS award from ASPRS (American Society of Photogrammetry and Remote Sensing).
Research Interests
Forest fire
,Three dimension
,Laser
,Remote Sensing
,Forest
Andrew T Hudak Akira Kato Benjamin C Bright E Louise Loudermilk Christie Hawley Joseph C Restaino Roger D Ottmar Gabriel A Prata Carlos Cabo Susan J Prichard Eric M Rowell David R Weise
Forest Science 66(4) 428-442 Aug 2020 [Refereed]
<title>Abstract</title>
Methods to accurately estimate spatially explicit fuel consumption are needed because consumption relates directly to fire behavior, effects, and smoke emissions. Our objective was to quantify sparkleberry (Vaccinium arbor...
International Conference on Resources and Human Mobility (Jointly organized by Mahidol University International College, Thailand, and Chiba University, Japan) Dec 2019 [Invited]
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