Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 659-663, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W7-659-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
13 Sep 2017
RESEARCH ON INVERSION MODELS FOR FOREST HEIGHT ESTIMATION USING POLARIMETRIC SAR INTERFEROMETRY
L. Zhang, B. Duan, and B. Zou Dept. of Information Engineering, Harbin Institute of Technology, Harbin, China, 150001
Keywords: PolInSAR, Forest Height Estimation, Inversion Model, RVoG, S-RVoG, RMoG Abstract. The forest height is an important forest resource information parameter and usually used in biomass estimation. Forest height extraction with PolInSAR is a hot research field of imaging SAR remote sensing. SAR interferometry is a well-established SAR technique to estimate the vertical location of the effective scattering center in each resolution cell through the phase difference in images acquired from spatially separated antennas. The manipulation of PolInSAR has applications ranging from climate monitoring to disaster detection especially when used in forest area, is of particular interest because it is quite sensitive to the location and vertical distribution of vegetation structure components. However, some of the existing methods can’t estimate forest height accurately. Here we introduce several available inversion models and compare the precision of some classical inversion approaches using simulated data. By comparing the advantages and disadvantages of these inversion methods, researchers can find better solutions conveniently based on these inversion methods.
Conference paper (PDF, 1497 KB)


Citation: Zhang, L., Duan, B., and Zou, B.: RESEARCH ON INVERSION MODELS FOR FOREST HEIGHT ESTIMATION USING POLARIMETRIC SAR INTERFEROMETRY, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 659-663, https://doi.org/10.5194/isprs-archives-XLII-2-W7-659-2017, 2017.

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