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.
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.