Improving the UAV-based yield estimation of paddy rice by using the solar radiation of geostationary satellite Himawari-8

• Hama Akira

  College of Education, Yokohama National University, Japan

• Tanaka Kei

  Japan Map Center, Japan

• Mochizuki Atsushi

  Chiba Prefectural Agriculture and Forestry Research Center, Japan

• Tsuruoka Yasuo

  Chiba Prefectural Agriculture and Forestry Research Center, Japan

• Kondoh Akihiko

  Center for Environmental Remote Sensing, Chiba University, Japan

抄録

The objectives of this study were to improve the yield estimation of paddy rice based on the unmanned aerial vehicle remote sensing (UAV-RS) and solar radiation data sets. The study used the UAV-RS-based normalized difference vegetation index (NDVI) at the heading stage, the solar radiation data of geostationary satellite Himawari-8 and the solar radiation data of polar orbiting satellite Aqua/MODIS. A comparison of two satellite-based solar radiation data sets (Himawari-8 and MODIS PAR) showed that the coefficient of determination (R²) of estimated yield based on Himawari-8 solar radiation was 0.7606 while the R² of estimated yield based on the MODIS PAR was 0.4749. Additionally, the root mean square error (RMSE) of Himawari-8 solar radiation was 26.5 g/m² while the RMSE of estimated yield based on the MODIS PAR was 39.2 g/m² (The average observed yield was 489.3 g/m²). The Estimated yield based on Himawari-8 solar radiation, therefore, outperformed the MODIS PAR-based estimated yield. The improvement of the temporal resolution of the satellite-based dataset allowed by using the Himawari-8 data set contributed to the improvement of estimation accuracy. Satellite-based solar radiation data allow yield estimation based on remote sensing in regions where there are no ground observation data of solar radiation.

収録刊行物

• Hydrological Research Letters

  Hydrological Research Letters 14 (1), 56-61, 2020

  水文・水資源学会／日本地下水学会／日本水文科学会／陸水物理研究会

キーワード

• Earth and Planetary Sciences (miscellaneous)
• Water Science and Technology

詳細情報

• CRID: 1390846609815351936
• NII論文ID: 130007815046
• DOI: 10.3178/hrl.14.56
• ISSN: 18823416
• Web Site: https://www.jstage.jst.go.jp/article/hrl/14/1/14_56/_pdf
• 本文言語コード: en
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• 抄録ライセンスフラグ: 使用不可