Estimation of rice growth and yield by using remote sensing data and crop model

2013 Fiscal Year Final Research Report

• Project/Area Number: 23780263
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Agricultural information engineering
• Research Institution: Kyoto University
• Principal Investigator: MAKI Masayasu 京都大学, 工学(系)研究科(研究院), 助教 (50375391)
• Project Period (FY): 2011 – 2013
• Keywords: リモートセンシング / 水稲 / 生育推定 / 収量推定

Research Abstract

Assimilation of remote sensing into crop model was investigated for accurate estimation of rice growth and yield. In order to estimate rice yield by assimilating remote sensing data into crop model, availability of crop model used in this study was firstly confirmed using filed measurement data. As results, when these parameters were readjusted by accurate leaf area index (LAI), the model could estimate rice growth and yield. In order to estimate accurate LAI at regional or global scale, TIPS, the vegetation index derived from remote sensing data for estimating LAI, was developed. And it was confirmed that TIPS was more useful to estimate LAI than conventional vegetation indices. For accurate estimation of rice growth and yield, readjustment of parameters in the model was executed using LAI derived from TIPS. As results, estimation accuracy of LAI was improved by optimization using remote sensing data, and estimation accuracy of yield was also improved by using optimized parameters.

Research Products

• [Journal Article] Empirical Regression Models for Estimating Multiyear Leaf Area Index of Rice from Several Vegetation Indices at the Field Scale (2014)
  • Author(s): Maki, M., Homma, K.
  • Journal Title: Remote Sensing Volume: 6(6) Pages: 4764 - 4779
  • Peer Reviewed
• [Presentation] Estimation of rice yield by assimilating remote sensing data into crop growth model (SIMRIW-RS) (2014)
  • Author(s): Maki, M., Homma, K., Hirooka, Y., and Oki, K.
  • Organizer: International Symposium on Agricultural Meteorology
  • Place of Presentation: 札幌
  • Year and Date: 2014-03-18
• [Presentation] Development of simulation model to evaluate geographical distribution of rice growth and yield (2013)
  • Author(s): Maki, M., and Homma, K.
  • Organizer: The International Symposium on Remote Sensing
  • Place of Presentation: 幕張
  • Year and Date: 2013-05-16
• [Presentation] リモートセンシングデータと作物モデルの同化による収量予測の高精度化 (2013)
  • Author(s): 牧雅康、本間香貴、沖一雄
  • Organizer: 第22回生研フォーラム
  • Place of Presentation: 東京
  • Year and Date: 2013-03-01
• [Presentation] Development of SIMRIW-RS -Toward the development of simulation model to evaluate geographical distributions of rice growth and yield- (2013)
  • Author(s): Maki, M. and Homma, K.
  • Organizer: Workshop on RADAR observation of rice crop monitoring
  • Place of Presentation: バンコク
  • Year and Date: 2013-02-18
• [Presentation] リモートセンシングデータとの同化による稲の広域評価型生育・収量予測モデルの開発 (2012)
  • Author(s): 牧雅康、本間香貴、宮岡香苗
  • Organizer: H24年度農業農村工学会大会講演会
  • Place of Presentation: 札幌
  • Year and Date: 2012-09-19
• [Presentation] イネの広域評価型生育・収量予測モデルの開発に向けて (2011)
  • Author(s): 牧雅康、本間香貴
  • Organizer: 環境科学会2011年会
  • Place of Presentation: 西宮
  • Year and Date: 2011-09-09
• [Book] Development of an Environmentally Advanced Basin Model in Asia. Crop Production, Dr Aakash Goyal (Ed.) (2014)
  • Author(s): Oki, K, Noda, K., Yoshida, K., Azechi, I., Maki, M., Homma, K., Hongo, C., and Shirakawa, H.
  • Total Pages: 35 - 40
  • Publisher: InTech(ISBN : 978-953-51-1174-0, DOI : 10.5772/54926)