Graduate School Information

Department of Environmental Remote Sensing Division of Earth and Environmental Sciences Graduate School of Science and Engineering Chiba University

About Our Department

In April 2017, the Department of Environmental Remote Sensing, comprising researchers of the Center for Environmental Remote Sensing (CEReS), was newly established in Chiba University, and systematic education on remote sensing became possible. Remote sensing is drawing attention in various Earth’s environmental researches on a local-to-global scale. Now, a wide variety of environmental problems are emerging.
This department uses “environment” and “remote sensing” as common keywords to foster the next generation having knowledge on not only Earth observation technology and environmental science but also a comprehensive viewpoint toward response to environmental problems for the future of the Earth and human society.


In this department, a systematic curriculum is assembled so that you can learn remote sensing and global environmental science widely. While learning remote sensing, you can deepen expertise in each research area.
Then, in the laboratory, you can proactively conduct research that is academically new and highly original at the international level. Comprehensive viewpoints including response to environmental problems are also developed to nurture your problem-discovery/solving abilities in Earth’s environment.


“Atmospheric Remote Sensing” Hitoshi Irie and Naoko Saitoh

This lecture aims to master the latest and specialized knowledge on atmospheric science and remote sensing to deeply understand Earth’s environmental problems such as global warming, stratospheric ozone destruction, and air pollution from the global viewpoint. With the remote sensing at the core, we lecture about related subjects and devate among students through reading relevant books.

“Observational Data Analysis” Kazuhito Ichii and Wei Yang

Skills to effectively handle and analyze large data (e.g. remote sensing, site observation) are highly required to understand environmental problems. In this lecture, students can learn various data processing and display skills based on Python through hands-on-exercise.
The lecture includes basic programming, statistical analysis, and machine learning.

Josaphat Tetuko Sri Smantyo Prof. Microwave Remote Sensing
Akihiko Kondoh Prof. Hydrology, Geography
Kazuhito Ichii Prof. Terrestrial Biogeosciences
Yoshiaki Honda Assoc. Prof. Global Environment Evaluation
Chiharu Hongo Assoc. Prof. Agricultural Remote Sensing
Atsushi Higuchi Assoc. Prof. Hydrology, Satellite Climatology
Hitoshi Irie Assoc. Prof. Atmospheric Environment
Naoko Saitoh Assoc. Prof. Atmospheric Science
Shunji Kotsuki Assoc. Prof. Meteorology and Hydrology, Data Science
Koji Kajiwara Assoc. Prof. Satellite Botany
Wei Yang Assist. Prof. Water Environment and Terrestrial Vegetation

Voice from Students

Hossain Mohammed Syedul Hoque  Ph.D. student (3rd-year in FY2018)

I am utilizing ground-based remote sensing to research variations in atmospheric organic compounds in Thailand and India, where our stations are located as part of the international network SKYNET.
This study reduces uncertainty in chemistry-climate models. Thus, advanced research facilities of CEReS not only provide excellent learning platform but also facilitate understanding of the current Earth’s environment and the future climate.

Future Careers

There are many seniors who are active on the front lines of society by making use of the wide range of knowledge learned here. They have been employed by various companies, including companies related to “environment” and “remote sensing”. They are also found in a lot of jobs in government offices and public research institutes.

Center for Environmental Remote Sensing Chiba University