DocumentCode :
573434
Title :
Impacts of topography for forest height estimation
Author :
Li, Wenmei ; Chen, Erxue ; Li, Zengyuan ; Sun, Hanwei ; Zeng, Tao ; Zhao, Lei
Author_Institution :
Inst. of Forest Resouses Inf. Technol., Chinese Acad. of Forestry, Beijing, China
fYear :
2012
fDate :
2-4 Aug. 2012
Firstpage :
1
Lastpage :
6
Abstract :
Forest height is one of the important ecological elements and its estimation has been developed recent years. Forest height estimation is usually obtained through the scattering centers between canopy and ground using Pol-InSAR data. There are three classes of method for forest height estimation, phase-difference between interferograms, coherence optimization based on coherent / incoherent scattering models and phase-coherence inversion method. However, most of these methods are carried out over relatively flat earth surface, that´s mean there are only a little slope or no slope in test site for forest height estimation. When these methods are used for forest height estimation in mountainous region, there may be big errors. In order to analyze the impact of topography for forest height estimation, simulated and analysis experiments with zero temporal decoherence were launched. Impacts of slopes in slant range ground and azimuth ground on backscattering coefficient, scattering mechanism, interferometric coherence and forest height were studied through simulated Pol-InSAR data sets. Impact of topography on forest height estimation is investigated through simulation. A couple of images were simulated using ESAR configuration in Culai test site with DEM obtained by Lidar. The other couple of images were also simulated using ESAR configuration with flat earth surface hypothesis. Several forest height estimation methods were used in the two experiments. The result shows that it is able to estimate forest height over complex topography using simulated Pol-InSAR data by phase-difference between interferograms, coherence optimization and phase-coherence inversion method. Varied topography makes the accuracy of forest height estimation lower than that of the hypothetical subdued topography. It is concluded that topography affects surface phase fixation and therefore affects the accuracy of forest height estimation using phase information. Ground range slope affects the back- cattering coefficients and estimated forest height. Meanwhile, azimuth ground slope has little effect on these fields. Both of increasing ground range slope and azimuth slope will cause a little degressive coherence coefficients and large residual phases in ground range and flight direction, and neither of them leads to scattering mechanism variation as slopes in ground range and azimuth increases from 5% to 40%.
Keywords :
synthetic aperture radar; topography (Earth); vegetation; Culai test site; ESAR configuration; Pol-InSAR data; Pol-InSAR data sets; backscattering coefficients; coherence optimization; complex topography; ecological elements; forest height estimation; ground range slope; incoherent scattering models; mountainous region; phase-coherence inversion method; phase-difference; relatively flat Earth surface; scattering centers; Azimuth; Backscatter; Coherence; Estimation; Surface topography; Pol-InSAR; forest height estimation; mountainous forest; phase-coherence inversion method; phase-difference between interferograms; topography;
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.2012.6311621
Filename :
6311621
Link To Document :
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