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The analysis on uncertainty resulting from method and wavelength selecting in forest height inversion using simulated polarimetric interferometric SAR data

  • role： First author第一作者
  • Affiliation：

    College of Forestry, Southwest Forestry University, Kunming 650224, China

    Changsha Urban Planning Information Service Center, Changsha 410004, China

  • Email：timzever@gmail.com
  • Introduction：张庭苇，研究方向为林业微波遥感。E-mail： timzever@gmail.com
ZHANG Tingwei12,  
  • Affiliation：

    School of Geography and Ecotourism, Southwest Forestry University, Kunming 650224, China

JI Yongjie3,  
  • role： Corresponding author通信作者
  • Affiliation：

    College of Forestry, Southwest Forestry University, Kunming 650224, China

  • Email：mekmzwf@163.com
  • Introduction：张王菲，研究方向为林业微波遥感。E-mail： mekmzwf@163.com
ZHANG Wangfei1*

resumen

Forest height is an important indicator for representing the quality and quantity of forest resources. Polarimetric synthetic aperture radar interferometry (PolInSAR) technology has been demonstrated and validated as a potential way for forest height inversion and mapping in recent years. Airborne and spaceborne PolInSAR data have been applied in a variety of temperate, boreal, and tropical forests. However, for the distinctions of forest scattering mechanisms at different microwave length and the different theory-base of each estimation algorithm, uncertainties usually occurred during the procedure of forest height estimation and mapping using PolInSAR data. In order to clarify the uncertainties resulting from the selection of different microwave wavelength algorithms in the procedure of forest height inversion, this study discussed the effects caused by the four selected inversion algorithms and four typical microwave wavelength using a simulated forest scene. The four inversion algorithms include polarimetric phase center height estimation method (PPC), complex coherence phase center differencing algorithm (CCPCD), coherence amplitude inversion method (CAI), and hybrid inversion method using both phase and coherence information. The involved microwave bands are at P, L, C, and X bands. Results of this study demonstrated that the effects of the wavelength and estimation algorithm are evident on the performance of forest height estimation using PolInSAR data. First, the selected estimation algorithm directly affects the results accuracy of forest height estimation when the microwave wavelength is the same. The estimated results from CAI agree well with the average forest height in the simulated forest scene and show best performance at the four selected microwave bands, but the degrees of dispersion and the ratios of uncertainty of the estimated results are also highest among the four inversion algorithms. Second, it shows obvious effects of microwave wavelength on the performance of the four selected inversion algorithms. It shows no obvious effect on CAI method. However, it shows great effects on the performance of the hybrid inversion method. The estimation results acquired from hybrid inversion method show a better performance at long wavelength (P- and L- bands), but a worse performance at short wave length (C- and X- bands). Moreover, the results reveal great underestimation of CCPCD method, which usually using HV channel phase as the canopy scattering phase center and the phase difference between HH and VV channels as the surface scattering phase center to retrieve the forest height. T The uncertainties of estimation results depend on wavelength and algorithm selections. Short wavelength with CCPCD method and long wavelength with PPC method show better performance and the lowest uncertainties on forest height estimation, whereas CAI method shows the highest uncertainties in forest height estimation at P, L, C, and X bands.

palabra clave

PolInSAR;forest height;uncertainty;inversion;simulated forest scene

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