• DocumentCode
    3063981
  • Title

    Wheat yield estimation in Russia with modis time-series data based on light use efficiency model

  • Author

    Xin Du ; Jihua Meng ; Savin, Igor ; Qiangzi Li

  • Author_Institution
    Inst. of Remote Sensing Applic., Beijing, China
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    2848
  • Lastpage
    2851
  • Abstract
    Wheat yield estimation in this paper is based on the above ground biomass estimation. The model of above ground biomass estimation requires satellite data, which express the vegetation status. The model was applied in Russia where winter wheat is widely grown. The results showed a high accuracy in estimating winter wheat yield. The range of fractional differences between estimated and observed yields is between -0.40 and 0.50 in 2011, and 83% of the fractional differences are between -0.30 and 0.30. When this method is used in large areas, parameters calibration is crucial. We also summarize that in future study, high resolution images, meteorological factors retrieved by remote sensing data and more field observed data should be used to improve the method.
  • Keywords
    remote sensing; vegetation; MODIS time-series data; Russia; ground biomass estimation; light use efficiency model; meteorological factors; remote sensing data; satellite data; vegetation status; wheat yield estimation; winter wheat yield; Agriculture; Biological system modeling; Biomass; MODIS; Nitrogen; Remote sensing; Satellites; Russia; biomass; wheat; yield;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6723418
  • Filename
    6723418