• DocumentCode
    573462
  • Title

    A review of crop identification and area monitoring based on SAR image

  • Author

    Yaping, Ding ; Zhongxin, Chen

  • Author_Institution
    Key Lab. of Agri-Inf., Minist. of Agric., Beijing, China
  • fYear
    2012
  • fDate
    2-4 Aug. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Crop identification is a critical first step for most agricultural monitoring systems. The ability to identify crop type makes it possible to estimate the area allocated to each crop type and thus compute relevant statistics providing essential information for crop control of area-based subsidies and furnishes direct inputs to crop production forecasting models. In recent years, with the development of remote sensing technology, the application of microwave remote sensing in agriculture is becoming more and more popular in remote sensing application research. The capabilities of SAR for discriminating crop type have been previously explored The paper presented herein aimed to brief the mechanism of crop identification and area monitoring using SAR data, at the same time, review the research progress of crop identification and area monitoring using microwave remote sensing at home and abroad, emphasis the necessity of the dryland crop identification and area monitoring using SAR At last, summed up the major trends of this application.
  • Keywords
    crops; remote sensing by radar; synthetic aperture radar; SAR image; agricultural monitoring system; area monitoring; crop control; crop identification; crop production forecasting model; microwave remote sensing; Agriculture; Monitoring; Optical sensors; Radar remote sensing; Remote sensing; Synthetic aperture radar; SAR remote sensing; area monitoring; crop identification; dryland crops;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Agro-Geoinformatics (Agro-Geoinformatics), 2012 First International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-2495-3
  • Electronic_ISBN
    978-1-4673-2494-6
  • Type

    conf

  • DOI
    10.1109/Agro-Geoinformatics.2012.6311680
  • Filename
    6311680