Volume 43 Issue 12
Dec.  2018
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ZHU Jianjun, FU Haiqiang, WANG Changcheng. Methods and Research Progress of Underlying Topography Estimation over Forest Areas by InSAR[J]. Geomatics and Information Science of Wuhan University, 2018, 43(12): 2030-2038. DOI: 10.13203/j.whugis20180266
Citation: ZHU Jianjun, FU Haiqiang, WANG Changcheng. Methods and Research Progress of Underlying Topography Estimation over Forest Areas by InSAR[J]. Geomatics and Information Science of Wuhan University, 2018, 43(12): 2030-2038. DOI: 10.13203/j.whugis20180266
shu

Methods and Research Progress of Underlying Topography Estimation over Forest Areas by InSAR

  • 1.

    School of Geosciences and Info-Physics, Central South University, Changsha 410083, China

Funds: 

The National Natural Science Foundation of China 41531068

More Information
  • Author Bio:

    ZHU Jianjun, PhD, professor, specializes in error data processing and its application in InSAR. E-mail:zjj@csu.edu.cn

  • Corresponding author:

    FU Haiqiang, PhD candidate. E-mail:haiqiangfu@csu.edu.cn

  • Received Date: August 25, 2018
  • Published Date: December 04, 2018
    Graphical Abstract
    • Abstract
  • It is difficult for traditional optical remote sensing technique to extract underlying topography over forest areas because that it can only measure the height of top of canopy. Since the microwave can penetrate into forest and record its vertical information, the microwave remote sensing technique provides the possibility for the underlying topography estimation, which has been a research hotspot. In this paper, the principle of digital elevation model (DEM) extraction by synthetic aperture radar interferometry (InSAR) and the corresponding SAR systems to acquire the InSAR data over forest areas have been introduced firstly. The second part of this paper describes different methods used to extract DEM based on InSAR, polarimetric InSAR (PolInSAR) and tomographic SAR (TomoSAR) technologies. After this, based on the above three SAR technologies, the application and research progress of underlying topography estimation are introduced. Finally, the discussions about the data acquisition, error correction and scattering model reconstruction for underlying topography extraction are introduced.
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    • References (52)
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