SGLI Publication list

• Common
• Land
• Atmosphere
• Ocean
• Cryosphere

Ocean

2023

• Li, J., Matsuoka, A., Hooker, S. B., Maritorena, S., Pang, X., & Babin, M. (2023). A tuned ocean color algorithm for the Arctic Ocean: a solution for waters with high CDM content. Optics Express, 31(23), 38494-38512.
  DOI: 10.1364/OE.500340
• Bertin, C., Carroll, D., Menemenlis, D., Dutkiewicz, S., Zhang, H., Matsuoka, A., Tank, S., Manizza, M., Miller, C. E., Babin, M., Mangin, A., & Le Fouest, V. (2023). Biogeochemical River Runoff Drives Intense Coastal Arctic Ocean CO 2 Outgassing. Geophysical Research Letters, 50(8), 1–11.
  DOI: 10.1029/2022GL102377
• Yuji Sakuno, Sakito Hirao, Naokazu Taniguchi. Quantitatively Mapping Discolored Seawater around Submarine Volcanoes Using Satellite GCOM-C SGLI Data: A Case Study of the Krakatau Eruption in Indonesia in December 2018. GeoHazards 2023, 4(2), 107-120.
  DOI: 10.3390/geohazards4020007
• Kurihara, Y. A Bispectral Approach for Destriping and Denoising the Sea Surface Temperature from SGLI Thermal Infrared Data. J. Atmos. Ocean. Technol. 40, 161–173 (2023)
  DOI: 10.1175/JTECH-D-22-0051.1

2022

• Matsuoka, A., Babin, M., & Vonk, J. E. (2022). Decadal trends in the release of terrigenous organic carbon to the Mackenzie Delta (Canadian Arctic) using satellite ocean color data (1998–2019). Remote Sensing of Environment, 283(September), 113322.
  DOI: j.rse.2022.113322
• Asim, M., Matsuoka, A., Ellingsen, P. G., Brekke, C., Eltoft, T., & Blix, K. (2022). A new spectral harmonization algorithm for Landsat-8 and Sentinel-2 remote sensing reflectance products using machine learning: a case study for the Barents Sea (European Arctic). IEEE Transactions on Geoscience and Remote Sensing, 1–20.
  DOI: 10.1109/TGRS.2022.3228393
• Zhao, H., Matsuoka, A., Manizza, M., & Winter, A. (2022). Recent Changes of Phytoplankton Bloom Phenology in the Northern High-Latitude Oceans ( 2003 – 2020). Journal of Geophysical Research : Oceans. 1–18.
  DOI: 10.1029/2021JC018346
• Juhls, B., Matsuoka, A., Lizotte, M., Bécu, G., Overduin, P. P., El Kassar, J., Devred, E., Doxaran, D., Ferland, J., Forget, M. H., Hilborn, A., Hieronymi, M., Leymarie, E., Maury, J., Oziel, L., Tisserand, L., Anikina, D. O. J., Dillon, M., & Babin, M. (2022). Seasonal dynamics of dissolved organic matter in the Mackenzie Delta, Canadian Arctic waters: Implications for ocean colour remote sensing. Remote Sensing of Environment, 283(April).
  DOI: 10.1016/j.rse.2022.113327
• Bertin, C., Matsuoka, A., Mangin, A. Babin, A., and Le Fouest V (2022). Merging satellite and in situ data to assess the flux of terrestrial dissolved organic carbon from the Mackenzie River to the coastal Beaufort Sea. Frontiers in Earth Science.
  DOI: 10.3389/feart.2022.694062
• Hirata, T., & Suzuki, K. (2022). Relative contributions of photophysiology and chlorophyll-a abundance to phytoplankton group-specific primary production in the Kuroshio region as inferred by satellite ocean color remote sensing. Journal of Oceanography, 78(4), 277-289.
  DOI: 10.1007/s10872-022-00638-5
• 小倉 和, 小林 拓, 比嘉 紘士, 入江 仁士 (2022). 吸収性エアロゾルを考慮した海色リモートセンシング大気補正アルゴリズムの改良, 土木学会論文集B2(海岸工学) 78 巻2号 p. I_1039-I_1044
  DOI: 10.2208/kaigan.78.2_I_1039
• Ishizaka, J., Yang, M., Fujii, N. et al. Use of AERONET-OC for validation of SGLI/GCOM-C products in Ariake Sea, Japan. J Oceanogr 78, 291–309 (2022).
  DOI: 10.1007/s10872-022-00642-9
• Hirata, T., Suzuki, K. Relative contributions of photophysiology and chlorophyll-a abundance to phytoplankton group-specific primary production in the Kuroshio region as inferred by satellite ocean color remote sensing. J Oceanogr 78, 277–289 (2022).
  DOI: 10.1007/s10872-022-00638-5
• Isada, T., Hooker, S.B., Taniuchi, Y. et al. Evaluation of retrieving chlorophyll a concentration and colored dissolved organic matter absorption from satellite ocean color remote sensing in the coastal waters of Hokkaido, Japan. J Oceanogr 78, 263–276 (2022).
  DOI: 10.1007/s10872-022-00633-w
• Murakami, H., Antoine, D., Vellucci, V. et al. System vicarious calibration of GCOM-C/SGLI visible and near-infrared channels. J Oceanogr 78, 245–261 (2022).
  DOI: 10.1007/s10872-022-00632-x
• Sekiguchi, M., Shi, C., Hashimoto, M. et al. Analysis and validation of ocean color and aerosol properties over coastal regions from SGLI based on a simultaneous method. J Oceanogr 78, 229–243 (2022).
  DOI: 10.1007/s10872-021-00627-0
• Luang-on, J., Ishizaka, J., Buranapratheprat, A. et al. Seasonal and interannual variations of MODIS Aqua chlorophyll-a (2003–2017) in the Upper Gulf of Thailand influenced by Asian monsoons. J Oceanogr 78, 209–228 (2022).
  DOI: 10.1007/s10872-021-00625-2
• Matsuoka, A., Campbell, J.W., Hooker, S.B. et al. Performance of JAXA’s SGLI standard ocean color products for oceanic to coastal waters: chlorophyll a concentration and light absorption coefficients of colored dissolved organic matter. J Oceanogr 78, 187–208 (2022).
  DOI: 10.1007/s10872-021-00617-2
• Ishizaka, J., Hirawake, T., Toratani, M. et al. Special section for second-generation global imager (SGLI). J Oceanogr 78, 185–186 (2022).
  DOI: 10.1007/s10872-022-00651-8
• Futsuki, R., Hirawake, T., Fujiwara, A. et al. Performance of primary production algorithm using absorption coefficient of phytoplankton in the Pacific Arctic. J Oceanogr (2022).
  DOI: 10.1007/s10872-022-00646-5
• Mitsunori Iwataki, Wai Mun Lum, Koyo Kuwata, Kazuya Takahashi, Daichi Arima, Takanori Kuribayashi, Yuki Kosaka, Natsuki Hasegawa, Tsuyoshi Watanabe, Tomoyuki Shikata, Tomonori Isada, Tatiana Yu. Orlova, Setsuko Sakamoto, Morphological variation and phylogeny of Karenia selliformis (Gymnodiniales, Dinophyceae) in an intensive cold-water algal bloom in eastern Hokkaido, Japan, Harmful Algae, 2022, 114, 102204,
  DOI: 10.1016/j.hal.2022.102204

2021

• Matsuoka, A., Campbell, J. W., Hooker, S. B., Steinmetz, F., Ogata, K., Hirata, T., Higa, H., Kuwahara, V. S., Isada, T., Suzuki, K., Hirawake, T., Ishizaka, J., and Murakami, H. (2021). Performance of JAXA’s SGLI standard ocean color products for oceanic to coastal waters: chlorophyll a concentration and light absorption coefficients of colored dissolved organic matter. Journal of Oceanography.
  DOI: 10.1007/s10872-021-00617-2
• Bruhn, A. D., Stedmon, C. A., Comte, J., Matsuoka, A., Speetjens, N. J., Tanski, G., Vonk, J. E., & Sjöstedt, J. (2021). Terrestrial Dissolved Organic Matter Mobilized From Eroding Permafrost Controls Microbial Community Composition and Growth in Arctic Coastal Zones. Frontiers in Earth Science, 9(March), 1–20.
  DOI: 10.3389/feart.2021.640580
• Hooker, S. B., Houskeeper, H. F., Kudela, R. M., Matsuoka, A., Suzuki, K., & Isada, T. (2021). Spectral modes of radiometric measurements in optically complex waters. Continental Shelf Research, 219(January), 104357.
  DOI: 10.1016/j.csr.2021.104357
• Kurihara, Yukio, Hiroshi Murakami, Kazunori Ogata, and Misako Kachi. 2021. “A Quasi-Physical Sea Surface Temperature Method for the Split-Window Data from the Second-Generation Global Imager (SGLI) Onboard the Global Change Observation Mission-Climate (GCOM-C) Satellite.” Remote Sensing of Environment 257 (May): 112347.
  DOI: 10.1016/j.rse.2021.112347
• Mati Kahru, Clarissa Anderson, Andrew D. Barton, Melissa L. Carter, Dylan Catlett, Uwe Send, Heidi M. Sosik, Elliot L. Weiss, B. Greg Mitchell; Satellite detection of dinoflagellate blooms off California by UV reflectance ratios. Elementa: Science of the Anthropocene 21 January 2021; 9 (1): 00157.
  DOI: 10.1525/elementa.2020.00157
• Miyazawa, Y.; Varlamov, S.M.; Miyama, T.; Kurihara, Y.; Murakami, H.; Kachi, M. A Nowcast/Forecast System for Japan’s Coasts Using Daily Assimilation of Remote Sensing and In Situ Data. Remote Sens. 2021, 13, 2431.
  DOI: 10.3390/rs13132431
• Sakuno, Y. Trial of Chemical Composition Estimation Related to Submarine Volcano Activity Using Discolored Seawater Color Data Obtained from GCOM-C SGLI. A Case Study of Nishinoshima Island, Japan, in 2020. Water 2021, 13, 1100.
  DOI: 10.3390/w13081100
• Yongzhen Fan, Wei Li, Nan Chen, Jae-Hyun Ahn, Young-Je Park, Susanne Kratzer, Thomas Schroeder, Joji Ishizaka, Ryan Chang, Knut Stamnes,OC-SMART: A machine learning based data analysis platform for satellite ocean color sensors,Remote Sensing of Environment,Volume 253,2021,112236,ISSN 0034-4257.
  DOI: 10.1016/j.rse.2020.112236
• Nima Pahlevan, Antoine Mangin, Sundarabalan V. Balasubramanian, Brandon Smith, Krista Alikas, Kohei Arai, Claudio Barbosa, Simon Bélanger, Caren Binding, Mariano Bresciani, Claudia Giardino, Daniela Gurlin, Yongzhen Fan, Tristan Harmel, Peter Hunter, Joji Ishikaza, Susanne Kratzer, Moritz K. Lehmann, Martin Ligi, Ronghua Ma, François-Régis Martin-Lauzer, Leif Olmanson, Natascha Oppelt, Yanqun Pan, Steef Peters, Nathalie Reynaud, Lino A. Sander de Carvalho, Stefan Simis, Evangelos Spyrakos, François Steinmetz, Kerstin Stelzer, Sindy Sterckx, Thierry Tormos, Andrew Tyler, Quinten Vanhellemont, Mark Warren,ACIX-Aqua: A global assessment of atmospheric correction methods for Landsat-8 and Sentinel-2 over lakes, rivers, and coastal waters,Remote Sensing of Environment,Volume 258,2021,112366,ISSN 0034-4257.
  DOI: 10.1016/j.rse.2021.112366
• Feng, C., Ishizaka, J., Saitoh, K., Mine, T., & Zhou, Z. (2021). Detection and tracking of Chattonella spp. and Skeletonema spp. blooms using Geostationary Ocean Color Imager (GOCI) in Ariake Sea, Japan. Journal of Geophysical Research: Oceans, 126, e2020JC016924.
  DOI: 10.1029/2020JC016924

2020

• Hooker, S. B., Matsuoka, A., Kudela, R. M., Yamashita, Y., Suzuki, K., & Houskeeper, H. F. (2020). A global end-member approach to derive aCDOM(440) from near-surface optical measurements. Biogeosciences, 17(2), 475–497.
  DOI: 10.5194/bg-17-475-2020
• Waga, H., & Hirawake, T. (2020). Changing occurrences of fall blooms associated with variations in phytoplankton size structure in the Pacific Arctic. Frontiers in Marine Science, 7(April), 1–12.
  DOI: 10.3389/fmars.2020.00209
• 中山 大雅, 比嘉 紘士, 緒方 一紀, 虎谷 充浩, 気候変動観測衛星GCOM-C/SGLIによる沿岸域に特化した大気補正手法の考案, 土木学会論文集B2(海岸工学), 2020, 76 巻, 2 号, p. I_1111-I_1116, 公開日 2020/11/04, Online ISSN 1883-8944, Print ISSN 1884-2399, 抄録
  DOI: 10.2208/kaigan.76.2_I_1111
• Yang, M.; Goes, J.I.; Tian, H.; Maúre, E.d.R.; Ishizaka, J. Effects of Spring–Neap Tidal Cycle on Spatial and Temporal Variability of Satellite Chlorophyll-A in a Macrotidal Embayment, Ariake Sea, Japan. Remote Sens. 2020, 12, 1859.
  DOI: 10.3390/rs12111859
• Feng, C.; Ishizaka, J.; Saitoh, K.; Mine, T.; Yamashita, H. A Novel Method Based on Backscattering for Discriminating Summer Blooms of the Raphidophyte (Chattonella spp.) and the Diatom (Skeletonema spp.) Using MODIS Images in Ariake Sea, Japan. Remote Sens. 2020, 12, 1504.
  DOI: 10.3390/rs12091504
• Satoshi Asaoka, Satoshi Nakada, Akira Umehara, Joji Ishizaka, Wataru Nishijima,Estimation of spatial distribution of coastal ocean primary production in Hiroshima Bay, Japan, with a geostationary ocean color satellite,Estuarine, Coastal and Shelf Science,Volume 244,2020,106897,ISSN 0272-7714.
  DOI: 10.1016/j.ecss.2020.106897

2019

• Groom, S. et al. Satellite Ocean Colour: Current Status and Future Perspective. Front Mar Sci 6, 1–30 (2019)
  DOI: 10.3389/fmars.2019.00485
• Juhls, B., Paul Overduin, P., Hölemann, J., Hieronymi, M., Matsuoka, A., Heim, B., & Fischer, J. (2019). Dissolved organic matter at the fluvial-marine transition in the Laptev Sea using in situ data and ocean colour remote sensing. Biogeosciences, 16(13), 2693–2713.
  DOI: 10.5194/bg-16-2693-2019
• Waga, H., Hirawake, T., Fujiwara, A., Grebmeier, J. M., & Saitoh, S. I. (2019). Impact of spatiotemporal variability in phytoplankton size structure on benthic macrofaunal distribution in the Pacific Arctic. Deep-Sea Research II, 162, 114–126.
  DOI: 10.1016/j.dsr2.2018.10.008
• Waga, H., Hirawake, T., & Ueno, H. (2019). Impacts of mesoscale eddies on phytoplankton size structure. Geophysical Research Letters, 46(22), 13191–13198.
  DOI: 10.1029/2019GL085150
• Groom,S.B., Sathyendranath, S., Ban, Y., Bernard, S., Brewin, R.J.W., Brotas, V., Brockmann, C., Chauhan, P., Choi, J.K., Chuprin, A., Ciavatta, S., Cipollini, P., Donlon, C., Franz, B.A., He, X., Hirata, T., Jackson, T., Kampel, M., Krasemann, H., Lavender, S.J., Pardo-Martinez, S., Melin, F., Platt, T., Santoleri, R., Skakala, J., Schaeffer, B., Smith, M., Steinmetz, F., Valente, A., Wang, M. (2019): Satellite Ocean Colour: current status and future perspective, Frontiers in Marine Science, 6:485.
  DOI: 10.3389/fmars.2019.00485
• Shen, A., Ishizaka, J., Yang, M., Ouyang, L., Yin, Y., Ma, Z. (2019) Changes in community structure and photosynthetic activities of total phytoplankton species during the growth, maintenance, and dissipation phases of a Prorocentrum donghaiense bloom, Harmful Algae, 82, 35-43.
  DOI: 10.1016/j.hal.2018.12.007
• Xu, Q., Sukigara, C., Goes, J.I., Gomes, H.R., Zhu, Y., Wang, S., Shen, A., Maúre, E.R., Matsuno, T., Watanabe, Y., Yoo, S., Ishizaka, J. (2019) Interannual changes in summer phytoplankton community composition in relation to water mass variability in the East China Sea, J. Oceanogr. 75(1), 61-79.
  DOI: 10.1007/s10872-018-0484-y
• Zhu Y, Suggett DJ, Liu C, He J, Lin L, Le F, Ishizaka J, Goes J and Hao Q (2019) Primary Productivity Dynamics in the Summer Arctic Ocean Confirms Broad Regulation of the Electron Requirement for Carbon Fixation by Light-Phytoplankton Community Interaction. Front. Mar. Sci. 6:275. doi: 10.3389/fmars.2019.00275
  DOI: 10.3389/fmars.2019.00275
• Sinjae Yoo, Christina Eunjin Kong, Young Baek Son, Joji Ishizaka,A critical re-assessment of the primary productivity of the Yellow Sea, East China Sea and Sea of Japan/East Sea Large Marine Ecosystems,Deep Sea Research Part II: Topical Studies in Oceanography,Volume 163,2019,Pages 6-15,ISSN 0967-0645.
  DOI: 10.1016/j.dsr2.2018.05.021
• Lee, Z., Shang, S., Wang, Y., Wei, J. and Ishizaka, J. (2020), Nature of optical products inverted semianalytically from remote sensing reflectance of stratified waters. Limnol Oceanogr, 65: 387-400.
  DOI: 10.1002/lno.11307

2018年

• Fouest, V. Le, Matsuoka, A., Manizza, M., Shernetsky, M., Tremblay, B., & Babin, M. (2018). Towards an assessment of riverine dissolved organic carbon in surface waters of the western Arctic Ocean based on remote sensing and biogeochemical modeling. Biogeosciences, 15(5), 1335–1346.
  DOI: 10.5194/bg-15-1335-2018
• Fujiwara, A., Nishino, S., Matsuno, K., Onodera, J., Kawaguchi, Y., Hirawake, T., Suzuki, K., Inoue, J., Kikuchi, T. (2018): Changes in phytoplankton community structure during wind-induced fall bloom on the central Chukchi shelf. Polar Biology (in press).
  DOI: 10.1007/s00300-018-2284-7
• Gomes, H.d.R., Xu, Q., Ishizaka, J., Carpenter, E.J., Yager, P.L., Goes, J.I. (2018) The Influence of Riverine Nutrients in Niche Partitioning of Phytoplankton Communities–A Contrast Between the Amazon River Plume and the Changjiang (Yangtze) River Diluted Water of the East China Sea, Front. Mar. Sci., 25 September 2018.
  DOI: 10.3389/fmars.2018.00343
• 比嘉紘士, 福田智弘, 中村由行, 鈴木崇之 (2018) 富栄養化した沿岸域における静止海色衛星を用いた塩分推定手法の提案. 土木学会論文集 B2 (海岸工学), 74(2), I_1465-I_1470.
• Hoshiba, Y., Hirata, T., Shigemitsu, M., Nakano, H., Hashioka, T., Masuda, Y., Yamanaka, Y. (2018) Biological data assimilation for parameter estimation of a phytoplankton functional type model for the western North Pacific, Ocean Sci., 14, 371-386.
  DOI: 10.5194/os-14-371-2018
• Juhls, B., Overduin, P.P., Hölemann, J., Hieronymi, M., Matsuoka, A., Heim, B., Fischer, J. (2019) Dissolved Organic Matter at the Fluvial-Marine Transition in the Laptev Sea Using in situ Data and Ocean Color Remote Sensing’, Biogeosciences. (under review).
  DOI: 10.5194/bg-2019-70
• Le Fouest, V., A. Matsuoka, M. Manizza, M. Shernetsky, B. Tremblay, and M. Babin (2018) Towards an assessment of riverine dissolved organic carbon in surface waters of the western Arctic Ocean based on remote sensing and biogemchemical modeling. Biogeosciences, 15, 1335-1346.
  DOI: 10.5194/bg-15-1335-2018
• Maúre, E. R., Ishizaka, J., Aiki, H., Mino, Y., Yoshie, N., Goes, J.I., Gomes, H.R., Tomita, H. (2018) One-Dimensional Turbulence-Ecosystem Model Reveals the Triggers of the Spring Bloom in Mesoscale Eddies, J. Geophysic. Res.: Oceans, 123, 6841-6860.
  DOI: 10.1029/2018JC014089
• Nakada, S., Kobayashi, S., Hayashi, M., Ishizaka, J., Akiyama, S., Fuchi, M., Nakajima, M. (2018) High-resolution sea surface salinity maps in coastal seas based on geostationary ocean color images: Quantitative analysis of river-plume dynamics, J. Oceanogr.
  DOI: 10.1007/s10872-017-0459-4
• Siswanto, E., Xu, Y., Ishizaka, J. (2018) A rare dispersion of low-salinity, high-Gelbstoff, high-primary production water in the East China Sea during the summer of 2010: Possible influence of the ENSO, J. Geophysic. Res. Oceans, 123, 2757–2767.
  DOI: 10.1002/2017JC013319
• Yang, M.M., Ishizaka, J., Goes, J.I., Gomes, H.R., Maúre, E.R., Hayashi, M., Katano, T., Fujii, N., Saitoh, K., Mine, T., Yamashita, H., Fujii, N., Mizuno, A. (2018) Improved MODIS-Aqua Chlorophyll-a Retrievals in the Turbid Semi-Enclosed Ariake Bay, Japan, Remote Sens., 10(9), 1335. DOI:10.3390/rs10091335
• Yoo, S., Kong, C.E., Son, Y.B., Ishizaka, J. (2018) A critical re-assessment of the primary productivity of the Yellow Sea, East China Sea and Sea of Japan/East Sea Large Marine Ecosystems, Deep-Sea Res. II, (in press).
  DOI: 10.1016/j.dsr2.2018.05.021
• Zhang, H., Wang, S., Qiu, Z., Sun, D., Ishizaka, J., Sun, S., He, Y. (2018) Phytoplankton size class in the East China Sea derived from MODIS satellite data, Biogeosciences, 15, 4271-4289.
  DOI: 10.5194/bg-15-4271-2018
• Genki Terauchi, Eligio de Raús Maure, Zhiming Yu, Zaixing Wu, Changkyu Lee, Vasiliy Kachur, and Joji Ishizaka "Assessment of eutrophication using remotely sensed chlorophyll-a in the Northwest Pacific region", Proc. SPIE 10778, Remote Sensing of the Open and Coastal Ocean and Inland Waters, 107780H (24 October 2018)
  DOI: 10.1117/12.2324641

2017年

• Bracher, A., Bouman, H. A., Brewin, R. J., Bricaud, A., Brotas, V., Ciotti, A. M., Clementson, L., Devred, E., Di Cicco, A., Dutkiewicz, S., Hardman-Mountford, N. J., Hickman, A. E., Hieronymi, M., Hirata, T., Losa, S. N., Mouw, C. B., Organelli, E., Raitsos, D. E., Uitz, J., … Wolanin, A. (2017). Obtaining phytoplankton diversity from ocean color: A scientific roadmap for future development. Frontiers in Marine Science, 4.
  DOI: 10.3389/fmars.2017.00055
• Mouw, C. B., Hardman-Mountford, N. J., Alvain, S., Bracher, A., Brewin, R. J., Bricaud, A., Ciotti, A. M., Devred, E., Fujiwara, A., Hirata, T., Hirawake, T., Kostadinov, T. S., Roy, S., & Uitz, J. (2017). A consumer's guide to satellite remote sensing of multiple phytoplankton groups in the global ocean. Frontiers in Marine Science, 4.
  DOI: 10.3389/fmars.2017.00041
• Waga, H., Hirawake, T., Fujiwara, A., Kikuchi, T., Nishino, S., Suzuki, K., et al. (2017). Differences in Rate and Direction of Shifts between Phytoplankton Size Structure and Sea Surface Temperature. Remote Sensing, 9(3), 222.
  DOI: 10.3390/rs9030222
• Chen, J., Zhang, X., Xing, X., Ishizaka, J., Yu, Z. (2017): A spectrally selective attenuation mechanism-based Kpar algorithm for biomass heating effect simulation in the open ocean, J. Geophysic. Res. Ocean.
  DOI: 10.1002/2017JC013101
• 平譯 享 「水域の透明度」, 理科年表 平成30 年, pp. 998-999, 国立天文台編 (2017). 執筆分担
• 平譯 享，高尾信太郎，鈴木光次，西岡 純，渡邉 豊，伊佐田 智規 (2017) 衛星による海洋基礎生産力の推定．海の研究, 26(3), 65-77. PDF
• Isada, T., Hirawake, T., Nakada, S., Kobayashi, T., Sasaki, K., Tanaka, Y., Watanabe, S., Suzuki, K., Saitoh, S-I. (2017): Influence of hydrography on the spatiotemporal variability of phytoplankton assemblages and primary productivity in Funka Bay and the Tsugaru Strait. Estuarine, Coastal and Shelf Science, 188, 199-211.
  DOI: 10.1016/j.ecss.2017.02.019
• Kobayashi, S., Nakada, S., Nakajima, M., Yamamoto, K., Akiyama, S., Fuchi, M., Hayashi, M., Ishizaka, J. (2017): Visualization of the Distribution of Dissolved Organic Matter in Osaka Bay using a Satellite Ocean Color Sensor (COMS/GOCI), J. Water Env. Tech. 15(2) 55-64.
  DOI: 10.2965/jwet.16-055
• Matsuoka, A., Boss, E., Babin, M., Karp-Boss, L., Hafez, M., Chekalyuk, A., Proctor, C. W., Werdell, P. J., Bricaud, A. (2017): Pan-Arctic optical characteristics of colored dissolved organic matter: Tracing dissolved organic carbon in changing Arctic wateres using satellite ocean color data. Remote Sensing of Environment, 200, 89-101.
  DOI: 10.1016/j.rse.2017.08.009
• Mayot, N., D'Ortenzio, F., Uitz, J., Gentili, B., Ras, J., Vellucci, V., Golbol, M., Antoine, D., Claustre, H. (2017) Influence of the phytoplankton community structure on the spring and annual primary production in the North-Western Mediterranean Sea. Journal of Geophysical Research.
  DOI: 10.1002/2016JC012668
• Maúre, E. R., Ishizaka, J., Sukigara, C., Mino, Y., Aiki, H., Matsuno, T., Tomita, H., Goes, J. I., Gomes, H. R. (2017): Mesoscale Eddies Control the Timing of Spring Phytoplankton Blooms: A Case Study in the Japan Sea, Geophysic. Res. Lett (Editor’s Highlight).
  DOI: 10.1002/2017GL074359
• Sukigara, C., Mino, Y., Tripathy, S. C., Ishizaka, J., Matsuno T. (2017): Impacts of the Changjiang diluted water on sinking processes of particulate organic matters in the East China Sea, Cont. Shelf Res. 151, 84-93.
  DOI: 10.1016/j.csr.2017.10.012
• Zhu, Y., Ishizaka, J., Tripathy, S. C., Wang, S., Sukigara, C., Goes, J., Matsuno, T., Suggett, D. J. (2017) Relationship between light, community composition and the electron requirement for carbon fixation in natural phytoplankton, Mar. Ecol. Prog. Ser., 580: 83–100.
  DOI: 10.3354/meps12310
• Zhu Y, Ishizaka J, Tripathy SC, Wang S and others (2017) Relationship between light, community composition and the electron requirement for carbon fixation in natural phytoplankton. Mar Ecol Prog Ser 580:83-100.
  DOI: 10.3354/meps12310
• Gathot Winarso, Joji Ishizaka (2017), Validation of Cochlodinium polykrikoides red tide detection using SeaWiFS-derived Chlorophyll-a data.
  DOI: 10.30536/j.ijreses.2017.v14.a2627

2016年

• Fujiwara, A., Hirawake, T., Suzuki, K., Eisner, L., Imai, I., Nishino, S., Kikuchi, T., and Saitoh, S.-I., (2016): Influence of timing of sea ice retreat on phytoplankton size during marginal ice zone bloom period on the Chukchi and Bering shelves, Biogeosciences, 13, pp.115-131.
  DOI:10.5194/bg-13-115-2016
• Zhu, Y.,Ishizaka, J., Tripathy, S.C., Wang, S., Mino, Y., Matsuno, T., Suggett, D.J. (2016): Variation of the photosynthetic electron transfer rate and electron requirement for daily net carbon fixation in Ariake Bay, Japan, Journal of Oceanography, 72, pp.761-776.
  DOI: 10.1007/s10872-016-0370-4
• Zhu, Y., Ishizaka, J., Tripathy, S.C. et al. Variation of the photosynthetic electron transfer rate and electron requirement for daily net carbon fixation in Ariake Bay, Japan. J Oceanogr 72, 761–776 (2016).
  DOI: 10.1007/s10872-016-0370-4
• S. Wang, C. Xiao, J. Ishizaka, Z. Qiu, D. Sun, Q. Xu, Y. Zhu, Y. Huan, and Y. Watanabe, "Statistical approach for the retrieval of phytoplankton community structures from in situ fluorescence measurements," Opt. Express 24, 23635-23653 (2016).
  DOI: doi.org/10.1364/oe.24.023635
• Wonkook Kim, Jeong-Eon Moon, Young-Je Park, Joji Ishizaka,Evaluation of chlorophyll retrievals from Geostationary Ocean Color Imager (GOCI) for the North-East Asian region,Remote Sensing of Environment,Volume 184,2016,Pages 482-495,ISSN 0034-4257.
  DOI: 10.1016/j.rse.2016.07.031

2015年

• Frouin, R., Pelletier, B. (2015): Bayesian methodology for inverting satellite ocean-color data. Remote Sensing of Environment, 159, pp.332-360.
  DOI: 10.1016/j.rse.2014.12.001
• 林正能，石坂丞二，小林 拓，虎谷充浩，中村亨，中嶋康生，山田智 (2015): 伊勢・三河湾におけるMODISとSeaWiFSのクロロフィルa濃度の検証と改善, リモートセンシング学会誌, 35(4), pp.245-259.
  DOI: 10.11440/rssj.35.245
• Suzuki, K., A. Kamimura, and S. B. Hooker, (2015): Rapid and highly sensitive analysis of chlorophylls and carotenoids from marine phytoplankton using ultra-high performance liquid chromatography (UHPLC) with the first derivative spectrum chromatogram (FDSC) technique. Marine Chemistry, 176, pp.96-106.
  DOI: 10.1016/j.marchem.2015.07.010
• Tin, H.C., M.W. Lomas, J. Ishizaka (2015): Satellite-derived estimates of primary production during the Sargasso Sea winter/spring bloom: Integration of in-situ time-series data and ocean color remote sensing observations, Regional Studies in Marine Science, 3, pp.131-143.
  DOI: 10.1016/j.rsma.2015.07.002
• Wang, S., J. Ishizaka, T. Hirawake, Y. Watanabe, Y. Zhu, M. Hayashi, and S. Yoo (2015): Remote estimation of phytoplankton size fractions using the spectral shape of light absorption, Optics EXPRESS, 23 (8), pp.10301-10318.
  DOI: 10.1364/OE.23.010301
• Shiho Kobayashi, Satoshi Nakada, Masaki Nakajima, Keigo Yamamoto, Satoshi Akiyama, Masaki Fuchi, Masataka Hayashi, Joji Ishizaka, Visualization of the Distribution of Dissolved Organic Matter in Osaka Bay Using a Satellite Ocean Color Sensor (COMS/GOCI), Journal of Water and Environment Technology, 2017, Volume 15, Issue 2, Pages 55-64, Released April 10, 2017, Online ISSN 1348-2165,
  DOI: 10.2965/jwet.16-055

2014年

• Takafumi HIRATA, Toru HIRAWAKE, Futoki SAKAIDA, Hisashi YAMAGUCHI, Koji SUZUKI, Hiroshi MURAKAMI, Joji ISHIZAKA, Hiroshi KOBAYASHI, Amane FUJIWARA, Mitsuhiro TORATANI, Sei-ichi SAITOH
  DOI: 10.11440/rssj.34.278
• Fujiwara, A., Hirawake, T., Suzuki, K., Imai, I., & Saitoh, S.-I. (2014). Timing of sea ice retreat can alter phytoplankton community structure in the western Arctic Ocean. Biogeosciences, 11, 1705–1716.
  DOI: 10.5194/bg-11-1705-2014
• Takao, S., Iida, T., Isada, T., Saitoh, S., Hirata, T., & Suzuki, K. (2014). Bio-optical properties during the summer season in the Sea of Okhotsk. Progress in Oceanography, 126, 233-241.
  DOI: 10.1016/j.pocean.2014.04.010
• Bastidas_Salamanca, M., A. Gonzalez-Silvera, R. Millan-Nunez, E. Santamaria-del-Angel, and R. Frouin, (2014): Bio-optical characteristics of the Northern Gulf of California during June 2008, International Journal of Oceanography, 2014, 384618, 13 pp.
  DOI: 10.1155/2014/384618
• Chen, J., Cui, T., Ishizaka, J., Lin, C. (2014): Corrigendum to "A neural network model for remote sensing of diffuse attenuation coefficient in global oceanic and coastal waters: Exemplifying the applicability of the model to the coastal regions in Eastern China Seas" [Remote Sensing of Environment, 148 168-177], Remote Sensing of Environment, 153, pp.99-103.
  DOI: 10.1016/j.rse.2014.02.019
• Chen, J., Cui, T., Ishizaka, J., Lin, C. (2014): A neural network model for remote sensing of diffuse attenuation coefficient in global oceanic and coastal waters: Exemplifying the applicability of the model to the coastal regions in Eastern China Seas. Remote Sensing of Environment, 148, pp.168-117.
  DOI: 10.1016/j.rse.2014.02.019
• Rudorff, N., Frouin, R., Kampel, M., Goyens, C., Meriaux, X., Schieber, B. (2014): Ocean-color radiometry across the southern Atlantic and southeastern Pacific: Accuracy and remote sensing implications. Remote Sensing of Environment, 149, pp.13-32.
  DOI: 10.1016/j.rse.2014.03.029
• Soppa, M., Hirata, T., Dinter, T., Silva, B., Peeken, I., Wiegmann, S., Bracher, A. (2014): Global retrieval of diatoms abundance based on phytoplankton pigment and satellite data, Remote Sensing 6, pp.10089-10106.
  DOI: 10.3390/rs61010089
• Suzuki, K., Hattori-Saito, A., Sekiguchi, Y., Nishioka, J., Shigemitsu, M., Isada, T., Liu, H., McKay, R.M.L. (2014): Spatial variability in iron nutritional status of large diatoms in the Sea of Okhotsk with special reference to the Amur River discharge, Biogeosciences, 11, pp.2503-2514.
  DOI: 10.5194/bg-11-2503-2014
• Terauchi, G., Tsujimoto, R., Ishizaka, J., Nakata, H. (2014): Preliminary assessment of eutrophication by remotely sensed chlorophyll-a in Toyama Bay, the Sea of Japan. Journal of Oceanography, 70, pp.175-184 DOI: 10.1007/s10872-014-0222-z
• Wang, S.Q., Ishizaka, J., Yamaguchi, H., Tripathy, S.C., Hayashi, M., Xu, Y.J., Mino, Y., Matsuno, T., Watanabe, Y., Yoo, S.J. (2014): Influence of Changjiang River on the light absorption properties of phytoplankton from the East China Sea. Biogeosciences, Biogeosciences, 11, pp.1759-1773.
  DOI: 10.5194/bg-11-1759-2014
• Zoffoli, M.L., Frouin, R., Kampel, M. (2014): Water column correction for coral reef studies by remote sensing, Sensors, 2014, 14, pp.16881-16931.
  DOI: 10.3390/s140916881

2013年

• Hirata, T., Saux-Picart, S., Hashioka, T., Aita-Noguchi, M., Sumata, H., Shigemitsu, M., Allen, J. I., & Yamanaka, Y. (2013). A comparison between phytoplankton community structures derived from a global 3D ecosystem model and satellite observation. Journal of Marine Systems, 109-110, 129-137.
  DOI: 10.1016/j.jmarsys.2012.01.009
• Yamaguchi, H., Ishizaka, J., Siswanto, E., Son, Y.B., Yoo, S., Kiyomoto, Y. (2013): Seasonal and Spring Interannual Variations of Satellite-Observed Chlorophyll-a in the Yellow and East China Seas: New Datasets with Reduced Interference from High Concentration of Resuspended Sediment. Continental Shelf Research, 59, pp.1-9.
  DOI: 10.1016/j.csr.2013.03.009
• Eko Siswanto, Joji Ishizaka, Sarat Chandra Tripathy, Kazuyoshi Miyamura,Detection of harmful algal blooms of Karenia mikimotoi using MODIS measurements: A case study of Seto-Inland Sea, Japan,Remote Sensing of Environment,Volume 129,2013,Pages 185-196,ISSN 0034-4257,
  DOI: 10.1016/j.rse.2012.11.003
• Xu, Y., Ishizaka, J., Yamaguchi, H. et al. Relationships of interannual variability in SST and phytoplankton blooms with giant jellyfish (Nemopilema nomurai) outbreaks in the Yellow Sea and East China Sea. J Oceanogr 69, 511–526 (2013).
  DOI: 10.1007/s10872-013-0189-1

2012

• Hirata, T., Hardman-Mountford, N., & Brewin, R. J. (2012). Comparing satellite-based phytoplankton classification methods. Eos, Transactions American Geophysical Union, 93(6), 59-60.
  DOI: 10.1029/2012eo060008
• Hirawake, T, Shinmyo, K., Fujiwara, A., & Saitoh, S. -i. (2012). Satellite remote sensing of primary productivity in the Bering and Chukchi Seas using an absorption-based approach. ICES Journal of Marine Science, 69(7), 1194–1204.
  DOI: 10.1093/icesjms/fss111

2011

• Fujiwara, A., Hirawake, T., Suzuki, K., & Saitoh, S. I. (2011). Remote sensing of size structure of phytoplankton communities using optical properties of the Chukchi and Bering Sea shelf region. Biogeosciences, 8(12), 3567–3580.
  DOI: 10.5194/bg-8-3567-2011
• Hirawake, Toru, Takao, S., Horimoto, N., Ishimaru, T., Yamaguchi, Y., & Fukuchi, M. (2011). A phytoplankton absorption-based primary productivity model for remote sensing in the Southern Ocean. Polar Biology, 34(2), 291–302.
  DOI: 10.1093/icesjms/fss111
• Hirata, T., Hardman-Mountford, N. J., Brewin, R. J., Aiken, J., Barlow, R., Suzuki, K., Isada, T., Howell, E., Hashioka, T., Noguchi-Aita, M., & Yamanaka, Y. (2011). Synoptic relationships between surface chlorophyll-<i>a</i> and diagnostic pigments specific to phytoplankton functional types. Biogeosciences, 8(2), 311-327.
  DOI: 10.5194/bg-8-311-2011