• DocumentCode
    2925459
  • Title

    Using MODIS and TM Imageries to Assess the Effect of Cold Damage on Grain Production per Unit

  • Author

    He, Yingbin ; Yao, Yanmin ; Chen, Youqi ; Li, Jianping

  • Author_Institution
    Key Lab. of Resources Remote Sensing & Digital Agric., CAAS, Beijing, China
  • fYear
    2011
  • fDate
    19-20 Feb. 2011
  • Firstpage
    2387
  • Lastpage
    2395
  • Abstract
    Data assimilation is extensively applied in agricultural remote sensing application. However, integration of multi-temporal and high spatial resolution images with crop growth model to evaluate the effect of cold damage on paddy rice was still absent. In this paper, authors applied data assimilation combining LANDSAT/TM, a series of TERRAMODIS images with SIMRIW model to detect how cold damage affected paddy rice yield per unit in the Wuchang county, Heilongjiang province for the year 2006. In the study, MODIS images selected corresponding to a series of the key rice growth phases were utilized to retrieve daily LAI values.
  • Keywords
    agriculture; crops; remote sensing; LANDSAT/TM; MODIS; TERRA MODIS images; TM imageries; Wuchang county; agricultural remote sensing application; cold damage effect; crop growth model; data assimilation; grain production; high spatial resolution images; multitemporal resolution images; Agriculture; Correlation; Data assimilation; Data models; MODIS; Mathematical model; Remote sensing; LAI; MODIS; NDVI; TM; cold damage; data assimilation; rice yield per unit;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM), 2011 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-61284-278-3
  • Electronic_ISBN
    978-0-7695-4350-5
  • Type

    conf

  • DOI
    10.1109/CDCIEM.2011.568
  • Filename
    5748304