MIZUOCHI Hiroki
(Visiting Associate Professor/Division of Environmental Studies)
Department of Natural Environmental Studies/Earth Surface Geology and Environmental Sciences/Remote Sensing, GIS, environmental monitoring
Career Summary
2013: B.S., College of Agrobiological Resource Science, University of Tsukuba
2015: M.S., Graduate School of Life and Environmental Sciences, University of Tsukuba
2017: Ph.D. (Environmental Science) Graduate School of Life and Environmental Sciences, University of Tsukuba
2017: JSPS Research Fellowship for Young Scientists, Post-doc researcher, UMR METIS, Sorbonne University
2018: Aerospace Project Research Associate, Earth Observation Research Center, Japan Aerospace Exploration Agency
2019～ Researcher, Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology (AIST)
2020～ Conjunct Associate Professor, Institute for Space-Earth Environmental Research, Nagoya University
2023～ Conjunct Associate Professor, Department of Natural Environmental Studies, Graduate School of Frontier Sciences, the University of Tokyo
Research Activities
Remote sensing using satellite, airborne, and unmanned aerial vehicle (UAV) is an essential tool for environmental and disaster monitoring.
Based on enormous archives of recent open-free satellite data, my research interest is synergistic use of variety of satellite data to provide fundamental information for solving social issues such as climate change adaptation and disaster risk assessment.
Comprehensive research activities include satellite data calibration/validation (Mizuochi et al., 2020), algorithm development using machine learning and geographic information system (e.g., Mizuochi et al., 2022b; Mizuochi et al., 2017), and application of the developed methodologies to environmental monitoring (e.g., Mizuochi et al., 2020; Mizuochi et al., 2014). Field survey and UAV photography (Mizuochi et al., 2016), and cooperative research with model simulation (Mizuochi et al., 2021) are also my research scope.
Specifically, the following are my current research topics:
- Machine learning and image processing applications to integrated use of multiple satellite datasets (i.e., data fusion)
- Algorithm development for thermal and hyperspectral images to monitor coastal environment
- Interferometric analysis of synthetic aperture radar (SAR) for landslide risk assessment
- Long-term monitoring of terrestrial water and vegetation over pan-arctic area
- Development of cross calibration methodology and its application to hyperspectral data
Future Plan
Our group will thoroughly make use of satellite remote sensing for climate change adaptation, environmental monitoring, and disaster risk assessment.
Particularly, (1) hyperspectral data calibration and application for environmental monitoring, and (2) machine-learning application to data fusion are core topics, in which practical case studies will be provided.
Messages to Students
Any students who have strong motivation for independent study to solve social issues are welcome. Since the remote sensing research field closely relates to data science including machine learning, the technological progress is accelerated day by day.
Let's learn from each other, and enjoy keeping up with the state-of-the-art technologies. Our group has close relationship with Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology. The advantage is that the students can also be involved in fundamental activity of satellite data distribution (e.g., calibration and validation, data archive, web distribution service) for public and/or industrial use, if they like. Therefore, students who are interested in social implementation of their research achievement are also welcome.