ホーム > 秋津 朋子/ Akitsu, Tomoko

秋津 朋子

ALUMNI 2025年6月現在、筑波大学が主たる所属機関ではありません

Akitsu, Tomoko

国立研究開発法人宇宙航空研究開発機構 , 地球観測研究センター , 主任研究開発員
Japan Aerospace Exploration Agency , Earth Observation Research Center , Associate Senior Researcher

https://sites.google.com/site/akitsupublic/

オープンアクセス版の論文は「つくばリポジトリ」で読むことができます。
  1. 1. Across-crown and canopy variations of plant functional traits and spectra for deciduous broadleaf and evergreen coniferous species in a temperate forest Roxanne Lai; Tatsuro Nakaji; Tomoko Kawaguchi Akitsu; Fujio Hyodo (+1 著者) Hideki Kobayashi
      (2025)
  2. 2. The GCOM-C/SGLI vegetation indices (NDVI, PRI, Chlorophyll Index) from the viewpoint of leaf optical property Tomoko Akitsu; Hiroshi Murakami; Atsushi Kume; Hideki KobayashiRoxanne Lai
      (2025)
  3. 3. Variation in leaf mesophyll anatomy of fern species imposes significant effects on leaf gas exchange, light capture, and leaf hydraulic conductance S. FUJII; K. NISHIDA; T.K. AKITSU; A. KUMEY.T. HANBA
      Photosynthetica (2023) Semantic Scholar
  4. 4. Leaf optical properties and photosynthesis of fern species with a wide range of divergence time in relation to mesophyll anatomy. Yuko T Hanba; Keisuke Nishida; Yuuri Tsutsui; Mayu Matsumoto (+4 著者) Atsushi Kume
      Annals of botany 131: 437 (2023) Semantic Scholar
  5. 5. Feature-based algorithm for large-scale rice phenology detection based on satellite images Xin Zhao; Kazuya Nishina; Tomoko Kawaguchi Akitsu; Liguang Jiang (+1 著者) Kenlo Nishida Nasahara
      AGRICULTURAL AND FOREST METEOROLOGY 329: (2023) Semantic Scholar
  6. 6. Contributions of the understory and midstory to total canopy solar-induced chlorophyll fluorescence in a ground-based study in conjunction with seasonal gross primary productivity in a cool-temperate deciduous broadleaf forest Tomoki Morozumi; Tomomichi Kato; Hideki Kobayashi; Yuma Sakai (+6 著者) Hiroyuki Muraoka
      Remote Sensing of Environment 284: 113340 (2023) Semantic Scholar
  7. 7. Accuracy Assessment of Photochemical Reflectance Index (PRI) and Chlorophyll Carotenoid Index (CCI) Derived from GCOM-C/SGLI with In Situ Data Taiga Sasagawa; Tomoko Kawaguchi Akitsu; Reiko Ide; Kentaro Takagi (+2 著者) Kenlo Nishida Nasahara
      Remote Sensing 14: 5352 (2022) Semantic Scholar
  8. 8. Early validation study of the photochemical reflectance index (PRI) and the normalized difference vegetation index (NDVI) derived from the GCOM-C satellite in Mongolian grasslands Undrakh Bayarsaikhan; Tomoko Kawaguchi Akitsu; Kaoru Tachiiri; Taiga Sasagawa (+2 著者) Kenlo Nishida Nasahara
      International Journal of Remote Sensing 43: 5145 (2022) Semantic Scholar
  9. 9. The variability and seasonality in the ratio of photosynthetically active radiation to solar radiation: A simple empirical model of the ratio Tomoko Kawaguchi Akitsu; Kenlo Nishida Nasahara; Osamu Ijima; Yasuo Hirose (+2 著者) Atsushi Kume
      International Journal of Applied Earth Observation and Geoinformation 108: 102724 (2022) Semantic Scholar
  10. 10. In-situ observations on a moderate resolution scale for validation of the Global Change Observation Mission-Climate ecological products: The uncertainty quantification in ecological reference data Tomoko Kawaguchi Akitsu; Kenlo Nishida Nasahara
      International Journal of Applied Earth Observation and Geoinformation 107: 102639 (2022) Semantic Scholar
  11. 11. Area-ratio Fraunhofer line depth (aFLD) method approach to estimate solar-induced chlorophyll fluorescence in low spectral resolution spectra in a cool-temperate deciduous broadleaf forest Naohisa Nakashima; Tomomichi Kato; Tomoki Morozumi; Katsuto Tsujimoto (+4 著者) Hibiki M. Noda
      Journal of Plant Research (2021) Semantic Scholar
  12. 12. スギ林内における全方位カメラ画像と点群情報の相互変換手法の開発 笹川大河; 秋津朋子; 奈佐原顕郎
      Japanese Journal of Forest Planning 54: 105 (2021) Semantic Scholar
  13. 13. Large‐scale ecological field data for satellite validation in deciduous forests and grasslands Tomoko Kawaguchi Akitsu; Tatsuro Nakaji; Hajime Kobayashi; Tetsuo Okano (+17 著者) Kenlo Nishida Nasahara
      Ecological Research 35: 1009 (2020) Semantic Scholar
  14. 14. Field data for satellite validation and forest structure modeling in a pure and sparse forest of Picea glehnii in northern Hokkaido Tomoko K. Akitsu; Tatsuro Nakaji; Toshiya Yoshida; Rei Sakai (+5 著者) Kenlo N. Nasahara
      Ecological Research 35: 750 (2020) Semantic Scholar
  15. 15. Importance of the Collection of Abundant Ground‐Truth Data for Accurate Detection of Spatial and Temporal Variability of Vegetation by Satellite Remote Sensing Shin Nagai; Kenlo Nishida Nasahara; Tomoko Kawaguchi Akitsu; Taku M. SaitohHiroyuki Muraoka
      Biogeochemical Cycles 223 (2020) Semantic Scholar
  16. 16. Evaluating land surface phenology from the Advanced Himawari Imager using observations from MODIS and the Phenological Eyes Network Yan⁠ D; Zhang X; Nagai S; Yu Y (+3 著者) Maeda T
      International Journal of Applied Earth Observations and Geoinformation 79: 71 (2019) Semantic Scholar
  17. 17. Validating GCOM-C Terrestrial Ecology Products: How Should In-Situ Observation Be Performed at Satellite Scale? Tomoko Akitsu; Koji Kajiwara; Kaoru Tachiiri; Hideki Kobayashi (+9 著者) Yoshiaki Honda
      IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium 9196 (2019) Semantic Scholar
  18. 18. Correction to: Why is chlorophyll b only used in light-harvesting systems? (Journal of Plant Research, (2018), 131, 6, (961-972), 10.1007/s10265-018-1052-7) Atsushi Kume; Tomoko Akitsu; Kenlo Nishida Nasahara
      Journal of Plant Research 132: 457 (2019) Semantic Scholar
  19. 19. Why is chlorophyll b only used in light-harvesting systems? Atsushi Kume; Tomoko Kawaguchi Akitsu; Nasahara Kenlo Nishida
      Journal of Plant Research (2018) Semantic Scholar
  20. 20. 8 million phenological and sky images from 29 ecosystems from the Arctic to the tropics: the Phenological Eyes Network Shin Nagai; Tomoko Akitsu; Taku M. Saitoh; Robert C. Busey (+51 著者) Kenlo Nishida Nasahara
      Ecological Research 33: 1 (2018) Semantic Scholar
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書籍等出版物情報はまだありません。

  1. 1. Long-Term Vegetation Phenology Changes in Cool-Temperate Deciduous Forests of Japan Revealed by Two Decades of Time-Lapse Photography
    JpGU 2025 2025年5月29日
  2. 2. Global-scale estimation of chlorophyll content derived from GCOM-C/SGLI: Effects of soil moisture and water bodies mixture in a pixel
    JpGU 2025 2025年5月27日
  3. 3. Global products of carbon and water fluxes derived from BESS model with GCOM-C SGLI datasets
    JpGU 2025 2025年5月27日
  4. 4. Across-crown and canopy variations of plant functional traits and spectra for deciduous broadleaf and evergreen coniferous species in a temperate forest
    EGU24 2024年4月
  5. 5. 様々な針葉樹葉の分光放射特性の違いが温暖化応答に及ぼす可能性 久米篤; 秋津朋子; 半場祐子; 奈佐原顕郎; 小口理一
    日本生態学会第71回全国大会 2024年3月
  6. 6. On the semi-analytical relationship between canopy photosynthesis and far-red sun-induced chlorophyll fluorescence (SIF) observation
    71st Annual Meeting of Ecological Society of Japan 2024年3月
  7. 7. Estimating Physical and Physiological Plant Phenology with Himawari-8 and 9: Utilizing Hyper-temporal Data from Geostationary Satellites
    AGU Annual Meeting 2023 2023年12月12日
  8. 8. How Useful Are the GCOM-C/SGLI Ecological Indices (PRI, NDVI, and LAI)?
    34th International Symposium on Space Technology and Science 2023年6月
  9. 9. Development of “blended GRVI” for accurate vegetation phenology estimation with Himawari/AHI
    AsiaFlux 2023 2023年
  10. 10. Evaluation of GOSAT-2 SIF with ground-based SIF in three common vegetation types.
    IWGGMS-18 2022年7月
  11. 11. The challenge to detect plant phenology using two green bands of GCOM-C/SGLI
    JpGU 2022 2022年5月
  12. 12. A new feature-based algorithm for detecting the rice phenology at large scale
    JpGU 2022 2022年5月
  13. 13. Estimation of leaf-level SIF from observed SIF for the reliable GPP calculation by remote sensing data in a cool temperate-deciduous broadleaf forest
    JpGU 2022 2022年5月
  14. 14. To what extent did understory vegetation contribute to the sun-induced chlorophyll fluorescence observed above the forest?
    INTECOL 2022 2022年
  15. 15. Total and top-to-bottom emissions of solar-induced chlorophyll fluorescence in the canopy of a cool temperate deciduous broad-leaved forest in Takayama, Japan
    AsiaFlux Online Conference 2021年12月20日
  16. 16. Seasonal variation in Solar Induced chlorophyll Fluorescence from canopy top, middle, bottom layers, and sum of those signals as a potential proxy of gross primary productivity in a canopy of cool-temperate deciduous broadleaf forest in Takayama, Gifu
    AGU Fall Meeting 2021 2021年12月
  17. 17. Retrieving solar-induced chlorophyll fluorescence from multilayers in a deciduous forest with low resolution field-measured spectra over the past decade
    AGU Fall Meeting 2021 2021年12月
  18. 18. 複数の森林型における森林3次元観測システム｢OWL｣の精度検証および今後の展望 笹川大河; 清柳優里; 秋津朋子; 中路達郎; 奈佐原顕郎
    第132回日本森林学会大会 2021年3月
  19. 19. FLiES-SIF; 3D radiative transfer model to estimate the observed Sun-induced chlorophyll fluorescence from top of canopy
    The 68th Annual Meeting of the Ecological Society of Japan 2021年3月
  20. 20. Accuracy assessment of phenological reflectance index derived from GCOM-C/SGLI with in-situ data
    International Symposium on Agricultural Meteorology (ISAM2021) 2021年3月
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