• DocumentCode
    3066294
  • Title

    Managing wheat from space: Linking MODIS NDVI and crop models for Australian dryland wheat

  • Author

    Perry, Eileen M. ; Morse-McNabb, Elizabeth M. ; Nuttall, James G. ; O´Leary, Garry J. ; Clark, Robin

  • Author_Institution
    Dept. of Environ. & Primary Ind., Epsom, VIC, Australia
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    3243
  • Lastpage
    3245
  • Abstract
    The purpose of this study was to begin to explore the relationships between Moderate Resolution Imaging Spectroradiometer (MODIS) NDVI observations with both measured and simulated above ground biomass (AGB), fractional green cover (FGrC), and leaf area index (LAI) for wheat in Victoria. These initial comparisons of MODIS NDVI with both measurements and simulation results indicate positive, linear relationships for FGrC, LAI, and AGB and either NDVI or summed NDVI. Measurements of AGB from 2012 were fitted with a linear model to summed NDVI from MODIS, resulting in an R2 of 0.83. The results support the potential for extending the value of the MODIS NDVI using crop simulation models. The combination of remotely sensed and simulation data might offer regional maps of AGB and yield, which would have high value for research, resource management, policy, and potentially, crop management.
  • Keywords
    crops; radiometry; remote sensing; vegetation mapping; AD 2012; AGB measurements; Australian dryland wheat; FGrC; LAI; MODIS NDVI initial comparisons; MODIS NDVI model; MODIS NDVI observations; MODIS NDVI value; Victoria; crop management; crop model; crop simulation models; fractional green cover; high value policy; high value research; leaf area index; linear model; linear relationship; measured above ground biomass; moderate resolution imaging spectroradiometer; positive relationship; regional AGB map; regional yield map; remotely sensed data combination; resource management; simulated above ground biomass; simulation data combination; wheat management; Abstracts; Indexes; Meteorology; APSIM; MODIS time series; NDVI; crop models; plant biomass;
  • 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.2013.6723518
  • Filename
    6723518