• DocumentCode
    3063291
  • Title

    Soil moisture inversion and validation based on new remote sensing platform

  • Author

    Chen Du ; Qiming Qin ; Mingchao Liu ; Haixia Feng ; Heng Dong ; Nan Wang

  • Author_Institution
    Inst. of Remote Sensing & Geographic Inf. Syst., Peking Univ., Beijing, China
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    2728
  • Lastpage
    2731
  • Abstract
    Soil moisture not only is an important parameter in precision agriculture, but is the main parameter in crop condition monitoring. We developed the method of soil moisture monitoring and evaluation with the new remote sensing platform, modified the existing indexes of PDI and MPDI, established inversion model and invert the soil moisture.
  • Keywords
    moisture; remote sensing; soil; vegetation; MPDI index; crop condition monitoring; inversion model; remote sensing platform; soil moisture evaluation; soil moisture inversion; soil moisture monitoring; soil moisture validation; Indexes; Moisture measurement; Monitoring; Remote sensing; Soil measurements; Soil moisture; Vegetation mapping; MPDI; New Remote Sensing Platform; PDI; Soil Moisture; modified PDI;
  • 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.2013.6723387
  • Filename
    6723387
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3063291