• DocumentCode
    576636
  • Title

    Hyperspectral vegetation indices for crop chlorophyll estimation: Assessment, modeling and validation

  • Author

    Lin, Peirong ; Qin, Qiming ; Dong, Heng ; Meng, Qingye

  • Author_Institution
    Inst. of Remote Sensing & GIS, Peking Univ., Beijing, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    4841
  • Lastpage
    4844
  • Abstract
    This study summarizes 12 spectral indices for chlorophyll inversion, including traditional multi-spectral indices and newly published indices constructed based on “Red Edge” (680-750nm) and “Double-Peak” in red edge region. Among them, some are good candidates to resist Leaf Area Index (LAI) variations, but some are not. By using forward model simulations and in-situ measurements data, we systematically tested these indices and picked out the best one which (1) has the highest sensitivity to chlorophyll; (2) has the best resistance to LAI variation. Then predictive equations were developed from simulated data and validated using winter wheat ground measurement data collected in 2011, Yucheng Station at Chinese Academy of Sciences.
  • Keywords
    crops; vegetation mapping; Chinese Academy of Sciences; LAI variation; Yucheng Station; chlorophyll inversion; crop chlorophyll estimation; double-peak; forward model simulations; hyperspectral vegetation indices; leaf area index variations; multispectral indices; red edge region; winter wheat ground measurement data; Agriculture; Hyperspectral imaging; Indexes; Mathematical model; Reflectivity; Vegetation mapping; Leaf Area Index (LAI); chlorophyll content; hyperspectral remote sensing; red edge; spectral indices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6352529
  • Filename
    6352529