SGLI Science Team (2009-2018)

RA6(JFY2016-2018)

Gr. Principal Investigator Research Organization Reseach theme
Land Yoshiaki Honda Chiba Univ. Validation scheme development of the atmospheric corrected land reflectance, and algorithm development of LAI and fAPAR
Koji Kajiwara Chiba Univ. Algorithm development and validation of the global above-ground biomass, vegetation roughness index, and water-stress trend products
Masao Moriyama Nagasaki Univ. Algorithm development and improvement of the GCOM-C1/SGLI land surface temperature and the shadow index
Hideki Kobayashi JAMSTEC Research algorithm development of GCOM-Cl LAI/FAPAR, and NPP
Junichi Susaki Kyoto Univ. Algorithm development and validation of the land albedo by using the BRDF model parameters
Kiyonari Fukue Tokai Univ. Global Land Cover Classification Using Surface Reflectance Data
Noriko Soyama Tenri Univ. Development of algorithm and the validation scheme of the global land cover product
Masahiro Tasumi Miyazaki Univ. Development of the global evapotranspiration index algorithm as a GCOM-C land product
Kenlo Nasahara Tsukuba Univ. Validation of land biological information from GCOM-C
Rikie Suzuki JAMSTEC Acquisition of ground truth data for mapping of biophysical parameters of forest
Takayuki Kaneko Tokyo Univ. ERI Construction and operation of the GCOM-C/SGLI real-time active volcano monitoring system, and eruption analysis
Kaoru Tachiiri JAMSTEC Investigation of the possibility to improve an Earth system model utilizing GCOM-C data
Kazuo Mabuchi Chiba Univ. Improvement of application technology of GCOM-C products by synthetic use of a climate model and satellite remote sensing data
Tomomichi Kato Hokkaido Univ. Detection of sun-induced chlorophyll fluorescence using GCOM-C data, and application for estimation of the biological photosynthesis
Masataka TAKAGI Kochi Univ. of Technology Voxel Model as Validation Data for Landcover Mapping
Christoph Rüdiger Monash University validation of land surface variables observed by GCOM-C and evaluation of their contribution to modelling activities over instrumented field sites in Australia
Yi Qin Commonwealth Science and Industry Research Organization (CSIRO) Simultaneous Aerosol and Surface BRDF Retrieval by Synergistic Utilization of GCOM-C/SGLI and Himawari/AHI
Koji Nakau JAXA SAOC Development and validation of the forest fire detection algorithm using SGLI
Reiji Kimura Tottori Univ. Development of global desertification map
Akihiko Kotera Kobe Univ. Development of monitoring system for flood damages in crop production using GCOM-C/SGLI time-series data
Atmosphere Takashi Nakajima Tokai Univ. Global observations of cloud from GCOM-C SGLI for contributing climate change study and improving cloud science, Part II
Miho Sekiguchi Tokyo Univ. of Marine Science and Technology Development of remote sensing algorithm and assimilation system of atmospheric aerosols using SGLI
Sonoyo Mukai The Kyoto College of Graduate Studies for Informatics Improved algorithms for aerosol retrieval from multidirectional perspectives
Hiroshi Ishimoto Meteorological Res. Inst. Development of ice cloud and aerosol analysis schemes by improved particle scattering model
Makoto Kuji Nara Women's Univ. Retrieval and validation of cloud geometrical properties
Hitoshi Irie Chiba Univ. Validation of the GCOM-C atmosphere products by the ground remote sensing observation network, SKYNET
Kazuma Aoki Toyama Univ. Study of influence of spatial and temporal representativeness of aerosol optical properties by solar radiation measurements on in-situ validation of GCOM-C/SGLI
Akihiro Yamazaki Meteorological Res. Inst. Provision of validation data for GCOM-C atmosphere product validation from ground radiation measurement network
Tadahiro Hayasaka Tohoku Univ. Study of surface radiation budget product validation
Ryoichi Imasu Tokyo Univ., AORI Validation of aerosol and cloud microphysical properties using Russian Airplane-Laboratory
Kentaroh Suzuki Tokyo Univ., AORI Use of GCOM-C and other satellite observations for evaluations of cloud processes in global climate models
Jérôme Riedi Université de Lille 1 - Sciences et Technologies Remote sensing of clouds and aerosols propertes from SGLI on GCOM-C1 Applying lessons learned from the A-Train to explore SGLI and EarthCare
Ocean Mitsuhiro Toratani Tokai Univ. Study of SGLI ocean color atmospheric correction scheme
Taka Hirata Hokkaido Univ. Calibration, Validation and application of the SGLI/GCOM-C ocean algorithms
Robert J. Frouin The Regents of the University of California Vicarious calibration, algorithm development, and in situ data collection for SGLI ocean color remote sensing
Toru Hirawake Hokkaido Univ. Improvement and validation of net primary production and phytoplankton size distribution algorithms
Joji Ishizaka Nagoya Univ., ISEE Acquisition of validation dataset for GCOM-C coastal products
Koji Suzuki Hokkaido Univ. Highly frequent and accurate observations of marine phytoplankton pigments and light regimes for the Validation of SGLI/GCOM-Cl data
Hiroshi Kobayashi Yamanashi Univ In-situ measurements for development of an atmosphere and in-water combined algorithm basing on classification of coastal and lake water optical property characterization
Tomonori Isada Hokkaido Univ. Products validation for inherent and apparent optical properties, phytoplankton pigments, and net primary productivity derived from SGLI/GCOM-C in coastal waters
Victor Kuwahara Soka Univ. Validation of Monthly Observations of Spectral Irradiance and Bio-optical Properties in the Coastal Waters of Sagami Bay
David Antoine Curtin University Using the long-term BOUSSOLE time series measurements for S-GLI Ocean Colour System Vicarious Calibration, and validation of geophysical products
Mati Kahru University of California San Diego Improved and merged estimates of ocean bio-optical properties derived with SGLI for the California Current
Atsushi Matsuoka Departement de Biologie/Pavillon Alexandre-Vachon,Universite Labal Development of DOC/POC algorithms for Arctic water - Global impact of Arctic carbon cycle -
Joaquim I. Goes Lamont Doherty Earth Observatory at Columbia University (LDEO) Sea Surface Nitrate and Nitrate Based New Production - two innovative research products from SGLI on board GCOM-C
Menghua Wang NOAA Development and Implementation of Atmospheric Correction Algorithm
for SGLI/GCOM-C Ocean Color Products
Bryan A. Franz NASA Goddard Space Flight Center NASA ocean color processing and data analysis support for SGLI
Lachlan I.W. McKinna Science Applications International Corporation NASA inherent optical properties algorithm support for SGLI
Yosuke Yamashiki Kyoto Univ. Development of Water-quality conversion algorithm from satellite information into classification of aquatic vegetation and surrounding catchment to establish global lakes and reservoir repository (GLR) with UNESCO-IHP-IIWQ activity
Cryosphere Teruo Aoki Okayama Univ. Improvement of GCOM-C/SGLI snow/ice algorithm, and validation by in-situ measurements and a numerical model
Knut Henrik Stamnes Stevens Institute of Technology GCOM-II/SGLI snow/ice products: Improments and continued validation with postlaunch data