• DocumentCode
    22794
  • Title

    In-Season Estimation of Rice Nitrogen Status With an Active Crop Canopy Sensor

  • Author

    Yinkun Yao ; Yuxin Miao ; Qiang Cao ; Hongye Wang ; Gnyp, Martin L. ; Bareth, Georg ; Khosla, Rajiv ; Wen Yang ; Fengyan Liu ; Cheng Liu

  • Author_Institution
    Int. Center for Agro-Inf. & Sustainable Dev. (ICASD), China Agric. Univ., Beijing, China
  • Volume
    7
  • Issue
    11
  • fYear
    2014
  • fDate
    Nov. 2014
  • Firstpage
    4403
  • Lastpage
    4413
  • Abstract
    Timely nondestructive estimation of crop nitrogen (N) status is crucial for in-season site-specific N management. Active crop canopy sensors are the promising tools to obtain the needed information without being affected by environmental light conditions. The objective of this study was to evaluate the potential for the GreenSeeker active crop canopy sensor to estimate rice (Oryza sativa L.) N status. Nine N rate experiments were conducted from 2008 to 2012 in Jiansanjiang, Heilongjiang Province in Northeast China. The results indicated that across site-years and growth stages, normalized difference vegetation index (NDVI) and ratio vegetation index (RVI) obtained with the GreenSeeker sensor could explain 73%-76% and 70%-73% of rice aboveground biomass and plant N uptake variability in this study, respectively. The NDVI index became saturated when biomass reached about 4 t ha-1 or when plant N uptake reached about 100 kg ha-1, whereas RVI did not show obvious saturation effect. The validation results, however, indicated that both indices performed similarly, and their relative errors (RE) were still large (> 40%). Although the two indices only explained less than 40% of plant N concentration or N nutrition index (NNI) variability, the RE values were acceptable (<; 26%). The results indicated some potentials of using the GreenSeeker sensor to estimate rice N status nondestructively, but more studies are needed to further evaluate and improve its performance for practical applications.
  • Keywords
    crops; nitrogen; vegetation mapping; AD 2008 to 2012; GreenSeeker active crop canopy sensor; Heilongjiang Province; Jiansanjiang; N; NDVI index; Northeast China; Oryza sativa L; crop nitrogen status; environmental light conditions; growth stages; in-season estimation; in-season site-specific N management; nitrogen nutrition index variability; normalized difference vegetation index; plant nitrogen concentration; plant nitrogen uptake variability; ratio vegetation index; relative errors; rice above-ground biomass; rice nitrogen status; saturation effect; Biomass; Fertilizers; Indexes; Nitrogen; Remote sensing; Vegetation mapping; Active crop sensor; biomass; nitrogen nutrition index (NNI); plant nitrogen concentration; plant nitrogen uptake; precision nitrogen management;
  • fLanguage
    English
  • Journal_Title
    Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    1939-1404
  • Type

    jour

  • DOI
    10.1109/JSTARS.2014.2322659
  • Filename
    6822547