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Scientia Silvae Sinicae ›› 2014, Vol. 50 ›› Issue (2): 70-77.

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Forest Above-Ground Biomass Estimation Using Polarimetric Interferometry SAR Coherence Tomography

Li Wenmei, Chen Erxue, Li Zengyuan, Zhao Lei   

  1. Research Institute of Forest Resource Information Techniques, CAF State Laboratory of Forest Remote Sensing and Information Techniques Beijing 100091
  • Received:2012-11-28 Revised:2013-12-30 Online:2014-02-25 Published:2014-03-11

Abstract:

A new forest method for retrieving above ground biomass (AGB) was developed based on Polarization Coherence Tomograhpy (PCT) technique using airborne single baseline polarimetric interferometric SAR (Pol-InSAR) data. First of all, forest vertical distribution of relative reflectivity (FVDRR) for each pixel was extracted using single baseline PCT technique. Then, the mean FVDRR for each forest stand was calculated from the FVDRR of all the pixels inside each corresponding forest stand. Thirdly, the mean FVDRR of each stand was fitted to Gaussion function and the forest canopy height, here defined as tomography canopy height (TomH), was extracted. Finally, regression analysis method and cross-validation approach were applied to build and assess forest AGB estimation model based on TomH using 20 in-situ forest stand AGB as reference. The result showed that the determination coefficient R2 was 0.822 and RMSE was 53.14 t ·hm-2 of the forest AGB retrieval model based on TomH. TomH had a higher correlation with in-situ forest AGB than that of three-stage inversed forest height. This approach is simple and easy to implement, and it can improve the accuracy of forest AGB estimation. Moreover, there was no signal saturation in our study area.

Key words: polarization coherence tomography (PCT), forest above ground biomass, TomH in forest stand scale, polarimetric interferometry synthetic aperture radar

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