Forest Vertical Parameter Estimation Using PolInSAR Imagery Based on Radiometric Correction
نویسندگان
چکیده
This work introduces an innovative radiometric terrain correction algorithm using PolInSAR imagery for improving forest vertical structure parameter estimation. The variance of radar backscattering caused by terrain undulation has been considered in this research by exploiting an iteration optimization procedure to improve the backscattering estimation for a Synthetic Aperture Radar (SAR) image. To eliminate the variance of backscatter coefficients caused by the local incident angle, a radiometric normalization algorithm has been investigated to compensate the influence of terrain on backscattering values, which hinders forest vertical parameter estimation. In vertical parameter estimation, species diversity and the spatial distribution of different vegetation have been modeled. Then, a combination of Fisher’s Alpha-Diversity model parameter estimation and the three-stage inversion method was designed for the vertical structure parameter. To demonstrate the efficiency of the proposed method in forest height estimation, the classical phase difference and three-stage inversion approach have been performed for the purpose of comparison. The proposed algorithm is tested on ALOS PALSAR (Advanced Land Observing Satellite Phased Array type L-band Synthetic Aperture Radar) and RADARSAT-2 (Radio Direction and Range Satellite 2) data sets for the Great Xing’an Mountain area and BioSAR (Biomass Synthetic Aperture Radar) 2007 data sets for the Remningstorp area. Height estimation results have also been validated using in-situ measurements. Experiments indicate the proposed method has the ability to compensate the influence of terrain undulation and improving the accuracy of forest vertical structure parameter estimation.
منابع مشابه
Three-stage inversion improvement for forest height estimation using dual-PolInSAR data
This paper addresses an algorithm for forest height estimation using single frequency single baseline dual polarization radar interferometry data. The proposed method is based on a physical two layer volume over ground model and is represented using polarimetric synthetic aperture radar interferometry (PolInSAR) technique. The presented algorithm provides the opportunity to take advantages of t...
متن کاملResearch on Inversion Models for Forest Height Estimation Using Polarimetric Sar Interferometry
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 acqu...
متن کاملThe Specificity of P Band Polinsar Data over Vegetation
RESUME A polarimetric and PolInSAR analysis has been conducted on the Nezer forest (Southern France) at L and P band on high resolution SAR data acquired with the ONERA RAMSES system in January 2004. The dataset was investigated for its potential for retrieval of forest parameters from SAR data using three different techniques: • Radiometric inversion from the cross-polarized term, • PolInSAR i...
متن کاملA Novel Algorithm for Forest Height Estimation from PolInSAR Image
Forest height is important information for many forest management activities and is a critical parameter in models of ecosystem procedures. Recently, there have been plenty of researches on the retrieval of forest height by single baseline PolInSAR such as the ESPRIT method, three-stage inversion but the methods tend to underestimate the forest height due to attenuation of the electromagnetic w...
متن کاملEstimation of Pine Forest Height and Underlying DEM Using Multi-Baseline P-Band PolInSAR Data
On the basis of the Gaussian vertical backscatter (GVB) model, this paper proposes a new method for extracting pine forest height and forest underlying digital elevation model (FUDEM) from multi-baseline (MB) P-band polarimetric-interferometric radar (PolInSAR) data. Considering the linear ground-to-volume relationship, the GVB is linked to the interferometric coherences of different polarizati...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- ISPRS Int. J. Geo-Information
دوره 5 شماره
صفحات -
تاریخ انتشار 2016