Integrated use of geoinformation

Integrated use of geoinformation

This program aims to promote atmospheric/terrestrial environmental studies based on integrated use of geoinformation including satellite remote sensing data, ground measurement data, and extracted environmental data. Main research subjects in this program are correction and preprocessing of satellite data, efficient processing methods for a huge volume of satellite data, environmental monitoring method by integrating satellite data and ground data, and extraction of atmospheric/terrestrial environmental parameters. This program has close relationship with the operation of the data distribution and sharing systems of the whole CEReS.

Details of the program (PDF)

Main faculty members

VL(Vertual Laboratory)HP

Research targets during 2010-2015 (6 years) and representative achievements

  • Archiving global data of geo-stationary meteorological satellites for more than 10 years, with validation, high-level analysis, and data publication.
  • Feasibility study for the seamless monitoring of the atmosphere by means of comprehensive analysis of satellite data that enables the profile retrieval of atmospheric parameters.
  • Production of advanced and highly precise datasets for global tree coverage and land coverage.
  • Development of a basic geoinformation system, “CEReS Gaia”, for efficient data accumulation and sharing.

Long-term climatology analysis is implemented by means of the seamless monitoring over more than 20 years, leading to the synergy of land and atmospheric studies and realization of the information center for the earth environment.

  • Long-term seamless monitoring of the atmosphere is employed for climatology study, through the high-level analysis of various earth-observing satellites, especially geo-synchronous meteorological satellites.
  • Invigorating the atmospheric and land-surface studies through the feedback of the knowledge from the seamless monitoring to the data pre-processing such as calibration and atmospheric correction prior to the land-coverage analysis.
  • The final goal of this program is the formation of the information center for the earth environment by disseminating the data obtained from this program and other CEReS programs. The international geospatial data sharing system, “CEReS Gaia”, will promote terrestrial environmental research by integrating existing data and research products through mutual comparison activities.

Production of global land cover data GLCNMO2008

Global land cover data with 15 arc-second (approx.500 meter at the equator) were produced by MODIS data in the framework of Global Mapping (GM) project, and published the data through the website of GM project and CEReS.

Establishment of data sharing system “CEReS Gaia” by the international expandable cluster system

Geospatial data sharing/overlay system CEReS Gaia was activated in 2012 and updated in 2014. The system is linked with University of Indonesia and other research institutes.

Satellites and environmental dataset distributions

CEReS has been operating data active archiving centers (DAACs) for research communities. A portal interface is also available for users, of which describes released data format, server’s URL, etc.

Food security package

Since 2013, integrated research named “food security package” has been promoting. Food security package is the integrated use of fine-time resolution satellite products EXAM (short-wave radiation) and GSMaP (precipitation) as forcing data’ combined with integrated land-surface model SiBUC and plant growth model SIMRIW.

Quantitative understanding of spatiotemporal variations in tropospheric nitrogen dioxide over East Asia

An advanced ground-based remote sensing system (MAX-DOAS) was newly installed at CEReS in 2012. Continuous observations by MAX-DOAS at several sites including Chiba University were conducted. In addition, the instrument and algorithm were revised and improved in a large scale. Spatiotemporal variations in tropospheric nitrogen dioxide over East Asia by 2014 could be clearly analyzed by satellite data based on validation comparisons using MAX-DOAS.


Center for Environmental Remote Sensing Chiba University