3D Remote Sensing of Plant Structure and Functioning

Kenji Omasa received the Ph.D. degree in engineering from the University of Tokyo, Japan. He had been a professor of Department of Agricultural and Life Sciences at the University of Tokyo in 1999-2016 after work as the heads, etc., of Biotron and Environment Plant Science at the National Institute for Environmental Studies, Japan, in 1976-1999. He had also been the president of the Agricultural Academy of Japan in 2018-2022 and an executive board member of Science Council of Japan in 2014-2017. He is currently a professor emeritus at the University of Tokyo, an emeritus researcher at the National Institute for Environmental Studies, and the dean of Faculty of Agriculture at the Takasaki University of Health and Welfare, Japan. He is interested in imaging of cell level to plants, remote sensing, smart agriculture, phenotyping, modeling of ecosystems, and analysis of global change effects on plants and ecosystems.

Eiichi Ono received his Ph.D. in agricultural and biosystems engineering from the University of Arizona, USA, in 2001, where he also served as a research associate. He was a research fellow at the Tamagawa University Research Institute in Japan and subsequently worked with the UAE's Ministry of Environment and Water, as well as the Ministry of Climate Change and Environment. Since 2020, he has been with the Faculty of Agriculture at the Takasaki University of Health and Welfare, Japan, where he currently serves as an associate professor. His research interests include non-destructive measurement technology and 2D/3D image analysis for plant environmental response and smart agriculture.

Shan Lu received her Ph.D. degree in bioenvironmental engineering from the University of Tokyo, Japan, in 2007. From 2008 to 2016, she served as an associate professor at the School of Geographical Sciences, Northeast Normal University, China, and has been a full professor since 2016. During 2018-2019, she was a visiting scholar at the Department of Microbiology and Plant Biology, University of Oklahoma, USA. Her research interests focus on the modeling and analysis of multi-angular and polarized remote sensing data, as well as their applications in the retrieval of physical or chemical parameters of vegetation and soil. She is also interested in vegetation mapping using hyperspectral remote sensing data.