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  気候変動の解明に向けて - Global Imagerが捉えた地球 -

関連冊子: 気候変動の解明に向けて - AMSR/AMSR-Eによる水惑星観測 -

*ファイルフォーマット仕様書(Level-1) (EOC)
*ファイルフォーマット仕様書(Level-2,3) (PDF:1.2MB)
*アルゴリズム記述書(英語)
*標準化した太陽照度データへのGSD輝度の対応変換式 (PDF:1.9MB)

*各圏へのリンク
大気 atmosphere ocean 海洋
陸域 land cryospher 雪氷
校正
*GLIプロジェクトに関するOHP資料 (バージョン 3.0)

  • GLI 一般情報 (PDFファイル #1)
    ADEOS-II衛星, GLIシステム, GLIブロックダイアグラム, GLIチャンネル設計, GLI軌 道シミュレーション, GLI応答関数の形
  • GLIアルゴリズムフローチャート (PDFファイル #2)
    GLI解析システムのアルゴリズムフローチャート
  • GLIデータ (PDFファイル #3)
    GLIプロダクトのデータサイズ
  • GLI GAIT (PDFファイル #4)
    GAIT体制について, GAITの機能, コンセプト, GSSとWeb版GSS, フォワードとインバ ージョンモジュールについて, GLIシミュレーションデータ
*GLIに関する主な論文と学会発表
1) Sensor Characterization and Calibration
 Hashimoto, T., K. Yamamoto, and T. Igarashi, 2004: Correction of sensor alignment of ADEOS-II/GLI, in Proc. Commission 1 Geo-Imagery Bridging Continents, XXth ISPRS Congress, Istanbul, Turkey, pp. 367-371.
 Kurihara, S., H. Murakami, K. Tanaka, T. Hashimoto, I. Asanuma, and J. Inoue, 2004: Calibration and instrument status of ADEOS-II Global Imager, SPIE, 5234, 11-19.
 Murakami, H., M. Yoshida, K. Tanaka, H. Fukushima, M. Toratani, A. Tanaka, and Y. Senga, 2005: Vicarious Calibration of ADEOS-II GLI Visible to Shortwave Infrared Bands Using GLobal Datasets, IEEE Trans. Geosci. and Remote. Sens. Vol. 43, No. 7, 1571-1584.
 Nakajima, T. Y., T. Nakajima, M. Nakajima, H. Fukushima, M. Kuji, A. Uchiyama, and M. Kishino, 1998: Optimization of the advanced earth observing satellite II global imager channels by use of radiative transfer calculations. Appl. Opt., 37, 3149-3163.
 Nieke, J., K. Tanaka, N. Itoh, T. Kimura, and S. Kurihara, 2003: First results from GLI's solar calibration, SPIE, 5151, 415-423.
 Nieke, J., Te. Aoki, T. Tanikawa, H. Motoyoshi, and M. Hori, 2004: A Satellite Cross-Calibration Experiment, IEEE Geoscience and Remote Sensing Letters, 1, 215-219.
 Tanaka, K., S. Kurihara, and Y. Okamura, 2005: The Sensor Characterization of Global Imager (GLI) on ADEOS-II Satellite, 2005/01 The IEICE Transactions on Communications, Vol. J88-B, No.1, pp.151-157 (in Japanese).
 Yoshida, M., H. Murakami, Y. Mitomi, M. Hori, K. J. Thome, D. K. Clark, and H. Fukushima, 2005: Vicarious Calibration of GLI by Ground Observation Data, IEEE, Trans. Geosci. Remote Sens., Vol. 43, No. 10, 2167-2176.

2) Atmospheric Science
 Higurashi, A., and T. Nakajima, 1999: Development of a two channel aerosol retrieval algorithm on global scale using NOAA/AVHRR. J. Atmos. Sci., 56, 924-941.
 Higurashi, A., and T. Nakajima, 2002: Detection of aerosol types over the East China Sea near Japan from four-channel satellite data. Geophys. Res. Lett., 29 (17), 1836, doi:10.1029/2002 GL015357.
 Katagiri, S., and T. Nakajima, 2004: Radiative characteristics of cirrus clouds as retrieved from AVHRR. J. Meteor. Soc. Japan, 82, 81-99.
 Kawamoto, K., T. Nakajima, and T.Y. Nakajima, 2001: A global determination of cloud microphysics with AVHRR remote sensing. J. Climate, 14, 2054-2068.
 Kim, D.-H., B.-J. Sohn, T. Nakajima, T. Takamura, T. Takemura, B.-C. Choi, and S.-C. Yoon, 2004: Aerosol optical properties over East Asia determined from ground-based sky radiation measurements. J. Geophys. Res., 109, No. D2,nD02209, 10.1029/2003JD003387.
 Kuji, M., T. Nakajima, and S. Mukai, 2003: Retrieval of cloud geometrical properties using satellite remote sensing data. SPIE, 5235, 15-24.
 Kuji, M., T. Hayasaka, N. Kikuchi, T. Nakajima, and M. Tanaka, 2000: The retrieval of effective particle radius and liquid water path of low-level marine clouds from NOAA AVHRR data, J. Appl. Meteor., 39, 999-1016.
 Kuji, M., N. Yamada, S. Hayashida, M. Yasui, A. Uchiyama, A. Yamazaki, and Te. Aoki, 2005: Retrieval of Asian dust amount over land using ADEOS-II/GLI near UV data, SOLA, 1, 33-36.
 Nakajima, T., A. Higurashi, K. Kawamoto, and J. E. Penner, 2001: A possible correlation between satellite-derived cloud and aerosol microphysical parameters. Geophys. Res. Lett., 28, 1171-1174.
 Nakajima, T., T. Y. Nakajima, M. Nakajima, and the GLI Algorithm Integration Team (GAIT), 1999: Development of ADEOS-II/GLI operational algorithm for earth observation. SPIE, 3870, 314-322.
 Nakajima, T., M. Sekiguchi, T. Takemura, I. Uno, A. Higurashi, D.H. Kim, B.J. Sohn, S.N. Oh, T.Y. Nakajima, S. Ohta, I. Okada, T. Takamura, and K. Kawamoto, 2003: Significance of direct and indirect radiative forcings of aerosols in the East China Sea region. J. Geophys. Res. , 108 (D23), 8658, doi: 10.1029/2002JD003261.
 Nakajima, T. Y., and T. Nakajima, 1995: Wide-area determination of cloud microphysical properties from NOAA AVHRR measurements for FIRE and ASTEX regions. J. Atmos. Sci., 52, 4043-4059
 Nakajima, T.Y., A. Uchiyama, T. Takamura, N. Tsujioka, T. Takemura, and T. Nakajima, 2005: Comparisons of warm cloud properties obtained from satellite, ground, and aircraft measurements during APEX intensive observation period in 2000 and 2001, J. Met. Soc. Japan, 83, 1085-1095.
 Hoeller, R., A. Higurashi, K. Aoki, and H. Fukushima, 2004: Remote sensing of large-scale boreal forest fire aerosol in Eastern Asia from ADEOS-II/GLI during spring 2003. in Proceeding of SPIE. Vol. 5571, pp.312-321.
 Sano, I., S. Mukai, M. Yamano, T. Takamura, T. Nakajima, and B. Holben, 2003: Calibration and validation of retrieved aerosol properties based on Aeronet and Skynet. Adv. Space Res., 32 (11), pp.2159-2164, doi: 10.1016/S0273-1177 (03) 00685-9, 2159-2164.
 Sekiguchi, M., T. Nakajima, K. Suzuki, K. Kawamoto, A. Higurashi, D. Rosenfeld, I. Sano, and S. Mukai, 2003: A study of the direct and indirect effects of aerosols using global satellite datasets of aerosol and cloud parameters. J. Geophys. Res., 108 (D22), 4699, doi: 10.1029/2002JD003359.
 Suzuki, K., T. Nakajima, A. Numaguti, T. Takemura, K. Kawamoto, and A. Higurashi, 2004: A study of the aerosol effect on a cloud field with simultaneous use of GCM modeling and satellite observation. J. Atmos. Sci., 61, 179-194.
 Takemura, T., T. Nakajima, A. Higurashi, S. Ohta, and N. Sugimoto, 2003: Aerosol distributions and radiative forcing over the Asian-Pacific region simulated by Spectral Radiation-Transport Model for Aerosol Species (SPRINTARS). J. Geophys. Res., 108 (D23), 8659, doi: 10.1029/2002JD003210.
 Takemura, T., H. Okamoto, Y. Maruyama, A. Numaguti, A. Higurashi, and T. Nakajima, 2000: Global three-dimensional simulation of aerosol optical thickness distribution of various origins. J. Geophys. Res., 105, 17853-17873.
 
3) Ocean Science
 Barton, I., and A. Pearce, 2006: Validation of GLI and Other Satellite-Derived Sea Surface Temperatures Using Data from the Rottnest Island Ferry, Western Australia, J. Oceanography, 62, 303-310.
 Frouin, R., and H. Murakami, 2007: Estimating photosynthetically available radiation at the ocean surface from ADEOS-II global imager data, J. Oceanography, 63, 493-503.
 Frouin, R. P.-Y. Dechanpms, L. Gross-Colzy, H. Murakami, and T.Y. Nakajima, 2006: Retrieval of Chlorophyll-a Concentration via Linear Combination of ADEOS-II Global Imager Data, J. Oceanography, 62, 331-337.
 Fukushima, H, M. Toratani, H. Murakami, P.-Y. Deschamps, R. Frouin and A. Tanaka, 2007: Evaluation of ADEOS-II GLI ocean color atmospheric correction using SIMBADA handheld radiometer data, J. Oceanogr., 63, 533-543.
 Ishizaka, J., E. Siswanto, T. Itoh, H. Murakami, Y. Yamaguchi, N. Horimoto, T. Ishimaru, S. Hashimoto and T. Saino, 2007: Verification of Vertically Generalized Production Model and Estimation of Primary Production in Sagami Bay, Japan, J. Oceanography, 63, 517-524.
 Mitchell, B. G., and M. Kahru, 1998: Algorithms for SeaWiFS standard products developed with the CalCOFI bio-optical data set. Calif. Coop. Oceanic Fish. Invest. Rep., 39, 133-147.
 Kahru, M., and B. G. Mitchell, 2001: Seasonal and non-seasonal variability of satellite-derived chlorophyll and CDOM concentration in the California Current. J. Geophys. Res., 106 (C2), 2517-2529.
 Hosoda, K., H. Murakami, A. Shibata, F. Sakaida, and H. Kawamura, 2006: Difference characteristics of sea surface temperature observed by GLI and AMSR aboard ADEOS-II, J. Oceanography, 62, 339-350.
 Kawai, Y., H. Kawamura, S. Takahashi, K. Hosoda, H. Murakami, M. Kachi, and L. Guan, 2006: Satellite-Based High-Resolution Global Optimum Interpolation Sea Surface Temperature Data, J. Geophys. Res., 111, C06016, doi: 10. 1029/2005JC003313.
 Murakami, H., K. Sasaoka, K. Hosoda, H. Fukushima, M. Toratani, R. Frouin, B. G. Mitchell, M. Kahru, P.-Y. Deschamps, D. Clark, S. Flora, M. Kishino, S. Saitoh, I. Asanuma, A. Tanaka, H. Sasaki, K. Yokouchi, Y. Kiyomoto, H. Saito, C. Dupouy, A. Siripong, S. Matsumura, and J. Ishizaka, 2006: Validation of ADEOS-GLI ocean color products using in-situ observations, J. Oceanography, 62, 373-393.
 Murakami, H., M. Toratani and H. Fukushima, Satellite ocean color observation with 250 m spatial resolution using ADEOS-II GLI, Remote Sensing of the Marine Environment, Proceedings of the SPIE, Volume 6406, pp. 640605, 2006
 Sakaida, F., K. Hosoda, M. Moriyama, H. Murakami, A. Mukaida, and H. Kawamura, 2006: Sea surface temperature observation by Global Imager (GLI) /ADEOS-II -Algorithm and accuracy of the product, J. Oceanography, 62, 311-319.
 Siswanto, E., J. Ishizaka, and K. Yokouchi, 2006: Optimal Primary Production Model and Parameterization in the Eastern East China Sea, J. Oceanography, 62, 361-372.
 Toratani,, M., H. Fukushima, H. Murakami, and A. Tanaka, 2007: Atmospheric correction scheme for GLI with absorptive aerosol correction, J. Oceanography, 63, 525-532.
 
4) Land Science
 Honda, Y., H. Yamamoto, M. Hori, H. Murakami, and N. Kikuchi, 2005: Global environment monitoring using the next generation satellite sensor, SGLI/GCOM-C, IGARSS, p.4208-4210.
 Konda, A., H. Yamamoto, K. Kajiwara, and Y. Honda, 2005: The use of Multiangular Reflectance for remote sensing of land vegetation, IGARSS, p.3247-3250.
 Le, K. T., Nguyen, T. H., Nguyen, D. D., A. Konda, K. Kajiwara, and Y. Honda, 2002: Automated Classification for Vegetation of Ninh Thuan, Binh Thuan and Lam Dong Provinces in Vietnam by Simulated GLI data from Landsat TM, Journal of the Japan Society of Photogrammetry and Remote Sensing, Vol.41, No. 6, pp. 4-13.
 Muramatsu, K., and I. Kaihotsu, 2005: Estimation of plant water content using ADEOS-II/GLI data, SPIE, 6043, 604312-1-9.
 Nguyen, D. D., Nguyen, T. H., and Le, K. T., 2001: Automated construction of legend for land cover classification of ADEOS-II GLI Image, in Proc. ACRS 2001, Singapore, Vol. 1, pp. 239-244.
 Nguyen, T. H., Nguyen, D. D., and R. Tateishi, 2005: Combination of ADEOS II-GLI and MODIS 250m Data for Land Cover Mapping of Indochina Peninsula, in Proc. ACRS 2005, Vietnam, CD-ROM, LLC1-2.pdf.
 Xiong, Y., L. Chen, S. Furumi, K. Muramatsu, M. Daigo, and N. Fujiwara, 2005: Estimation of global terrestrial net primary production of using ADEOS-II/GLI data, SPIE, 6043, 604313-1-12.
 Xiong, Y., K. Muramatsu, M. Hirata, K. Oishi, I. Kaihotsu, T. Takamura, S. Furumi, and N. Fujiwara, 2005: Approximation method for time-integral of photosynthesis for NPP estimation using remote sensing data: Case study in Mongolia, J. of Remote Sensing Soc. Japan, 25 (2), pp 179-190.
 Yamamoto, H., T. Hashimoto, M. Seki, N. Yuda, Y. Mitomi, H. Yoshioka, Y. Honda, and T. Igarashi, 2005: Evaluation of GLI reflectance and vegetation indices with MODIS products, IGARSS, p.5584-5587.
 Yoshioka, H., T. Miura, and H. Yamamoto, 2005: Analytical relationships of inter-sensor vegetation indices based on the theory of vegetation isoline: IGARSS, p.4164-4167.
 Yoshioka, H., and H. Yamamoto, H, 2004: Atmospheric Correction for ADEOS-GLI Land Reflectance Product, in Proc. ASPRS 2004 Annual Conference, Denver, Colorado, USA, CD-ROM, 13 pages.
 Zhang, L. F., S. Furumi, K. Muramatsu, N. Fujiwara, M. Daigo, and L. P. Zhang, Sensor independent analysis method for hyper-multispectral data based on the pattern decomposition method, Int. J. of Remote Sensing (in press).
 Zhang, L. F., S. Furumi, K. Muramatsu, N. Fujiwara, M. Daigo, and L. P. Zhang, A New Vegetation Index Based on the Universal Pattern Decomposition Method, Int. J. of Remote Sensing (in press).
 
5) Cryosphere Science
 Aoki, Te., A. Hachikubo, and M. Hori, 2003: Effects of snow physical parameters on shortwave broadband albedos, J. Geophys. Res., 108 (D19), 4616, doi: 10.1029/2003JD003506.
 Aoki, Te., Ta. Aoki, M. Fukabori, and A. Uchiyama, 1999: Numerical simulation of the atmospheric effect on snow albedo with a multiple scattering radiative transfer model for the atmosphere-snow system. J. Meteor. Soc. Japan, 77, 595-614.
 Aoki, Te., Ta. Aoki, M. Fukabori, A. Hachikubo, Y. Tachibana, and F. Nishio, 2000: Effects of snow physical parameters on spectral albedo and bidirectional reflectance of snow surface, J. Geophys. Res., 105, 10219-10236
 Aoki, Te., H. Motoyoshi, Y. Kodama, T. J. Yasunari, K. Sugiura, and H. Kobayashi, 2006: Atmospheric Aerosol Deposition on Snow Surfaces and Its Effect on Albedo, SOLA, 2, 13-16.
 Aoki, Te., Ta. Aoki, M. Fukabori, Y. Tachibana, Y. Zaizen, F. Nishio, and T. Oishi, 1998: Spectral albedo observation on the snow field at Barrow, Alaska. Polar Meteorol. Glaciol., 12, 1-9.
 Hori, M., Te. Aoki, K. Stamnes, B. Chen, and W. Li, 2001: Preliminary validation of the GLI algorithms for retrieving geophysical parameters in the cryosphere with MODIS data, Polar Meteorol. Glaciol., 15, 1-20.
 Hori, M., Te. Aoki, T. Tanikawa, H. Motoyoshi, A. Hachikubo, K. Sugiura, T. J. Yasunari, H. Eide, R. Storvold, Y. Nakajima, and F. Takahashi, 2006: In-situ measured spectral directional emissivity of snow and ice in the 8-14 um atmospheric window, Remote Sensing of Environment, 100, 486-502.
 Li, W., K. Stamnes, B. Chen, and X. Xiong, 2001: Snow grain size retrieved from near-infrared radiances at multiple wavelengths, Geophys. Res. Lett., 28, 1699-1702.
 Motoyoshi, H., Te. Aoki, M. Hori, O. Abe, and S. Mochizuki, 2005: Possible Effect of Anthropogenic Aerosol Deposition on Snow Albedo Reduction at Shinjo, Japan, J. Meteor. Soc. Japan, 83A, 137-148.
 Stamnes, K, W. Li, R. Spurr, H. A. Eide, and J. J. Stamnes, 2004: Simultaneous retrieval of aerosol and surface properties over bright targets including snow and ice using multi- and hyperspectral data, SPIE, 5569, 56-67.
 Tanikawa, T., Te. Aoki, and F. Nishio, 2002: Remote sensing of snow grain-size and impurities from Airborne Mulitspectral Scanner data using a snow bidirectional reflectance distribution function model, Ann. Glaciol., 34, 74-80.
 Tanikawa, T., Te. Aoki, M. Hori, A. Hachikubo, O. Abe, and M. Aniya 2006: Monte Carlo simulations of spectral albedo for artificial snowpacks composed of spherical and non-spherical particles, Applied Optics, 45, 5310-5319.

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