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Estimation of Forest Biomass using Envisat - ASAR data

机译:使用envisat - ASAR数据估算森林生物量

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This paper presents experimental results obtained with ENVISAT-ASAR space borne data of VV, VH and HH polarizations over the parts of Karnataka in the Western Ghats, India. The aim is to quantify various levels of above ground forest Biomass, Volume and Basal area with the help of empirical relationship of the backscattering coefficients with the ground inventory. Extensive field data were collected to characterize forest vegetation parameters in the plots. Ground inventory data such as GBH, tree height were collected. The above ground tree biomass (ABG) is estimated from the collected ground data using the existing allometric equations at stand level in study area. Dual polarized ENVISAT C-band Advanced Synthetic Aperture Radar (SAR) data of IS2 beam mode i.e., incidence angle ranges from 18.8°-26.1° were analyzed. The DN values of the ENVISAT-ASAR data are converted to backscattering coefficients. The forest in the study area holds 129-203 Mg ha~(-1) (1Mg=10~3 kg) of Biomass. Scatter plots were drawn between backscattering coefficients and Volume, Basal Area and Biomass for VV, VH and HV polarizations. Results show that with increase in the biomass levels, backscattering coefficient also increases. The backscattering coefficient of HH has significant correlation with the biophysical parameters whereas VH and VV are not well correlated. This relationship can be utilized to estimate the forest biophysical parameters of the study area.
机译:本文介绍了在印度西议戈斯西戈斯塔卡州的vv,vh和hh偏振的vv,vh和hh偏振数据中获得的实验结果。目的是通过对地库存的反向散射系数的经验关系来量化上述地面森林生物质,体积和基础区域的各种水平。收集广泛的现场数据,以表征图中的森林植被参数。收集地面库存数据,如GBH,树高度。上述地面生物量(ABG)从研究区域的立场上的现有量方程估计来自收集的地面数据。双极化Envisat C波段高级合成孔径雷达(SAR)IS2光束模式的数据I.,分析了18.8°-26.1°的入射角范围。 Envisat-ASAR数据的DN值被转换为反向散射系数。研究区的森林含有129-203mg ha〜(-1)(1mg = 10〜3千克)生物质。在VV,VH和HV偏振的后散射系数和体积,基础区域和生物质之间绘制散射图。结果表明,随着生物质水平的增加,反向散射系数也增加。 HH的后散射系数与生物物理参数具有显着的相关性,而VH和VV并不完全相关。这种关系可用于估计研究区域的森林生物物理参数。

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