Forest aboveground biomass estimation using polarization coherence tomography and PolSAR segmentation
Forest aboveground biomass estimation using polarization coherence tomography and PolSAR segmentation
复制标题
使用偏振相干断层扫描和 PolSAR 分割估计森林地上生物量
DOI：
10.1080/01431161.2014.999383
复制
发表时间：
2015-01
影响因子：
3.4
通讯作者：
Zhan Wenfeng
中科院分区：
文献类型：
--
作者：
Li Wenmei;Chen Erxue;Li Zengyuan;Ke Yinghai;Zhan Wenfeng
森林地上生物量（AGB）是监测碳循环预算和气候变化的关键。提出了一种基于极化相干层析成像（PCT）和极化合成孔径雷达（PolSAR）分割的森林AGB估计方法。使用的数据是2003年德国航空航天中心的E-SAR传感器在Traunstein市及其附近的L波段获得的单基线极化SAR干涉测量数据。首先，垂直结构的层析轮廓（在垂直方向上的相对反射率分布）产生的PCT为每个像素，然后平均每个实地调查的林分内，以获得平均层析轮廓。接下来，通过10个形状参数来参数化平均垂直断层扫描轮廓。基于定义参数与原位测量值之间的关系，采用逐步回归和M倍（10倍）交叉验证方法设计了几种生物量估计模型。通过评价标准如R、均方根误差（RMSE）、R2等选择最佳模型。森林多边形（对象）通过使用森林高度的图像分割产生，（通过表示双反弹散射机制的相干优化产生），（通过表示体积散射机制的相干优化产生），以及体积散射机制类（由Freeman-Durden分解和Whishart分类产生）。最后，选定的模型用于估计每个森林多边形的AGB，并使用地面测量的生物量进行验证，R2为0.883，RMSE为39.98吨/公顷。结果表明，该方法能较好地估计森林AGB。即使对于AGB大于500吨/公顷的林分，也没有观察到饱和现象。
Forest aboveground biomass (AGB) is essential for monitoring the carbon cycle budget and climate change. This study proposes a method for the estimation of forest AGB based on polarization coherence tomography (PCT) and polarimetric synthetic aperture radar (PolSAR) segmentation. The data used are the single-baseline polarimetric SAR interferometry data acquired by the German Aerospace Center’s E-SAR sensor at the L-band over the city of Traunstein and its vicinity in 2003. First, vertical structure tomographic profiles (relative reflectivity distribution in vertical direction) were produced by PCT for each pixel and then averaged within each field-surveyed forest stand to obtain the mean tomographic profile. Next, the mean vertical tomographic profiles were parameterized by 10 shape parameters. Several models for biomass estimation were designed based on the relationships between the definition parameters and the in situ measurements using backward step-wise regression and the M-fold (10-fold) cross-validation method. The best model was chosen by evaluation criteria such as R, root mean square error (RMSE), R2, etc. Forest polygons (objects) were produced by image segmentation using forest heights, (produced by coherence optimization representing double-bounce scattering mechanism), (produced by coherence optimization representing the volume scattering mechanism), and the volume scattering mechanism class (produced by Freeman–Durden decomposition and Whishart classification). Finally, the selected model was used to estimate the AGB of each forest polygon and was validated using ground-measured biomass with R2 of 0.883 and RMSE of 39.98 tons ha−1. The results show that the proposed method works well for the estimation of forest AGB. No saturation phenomena have been observed even for the forest stands with AGB larger than 500 tons ha−1.
登录
查看更多内容
影响因子：
1.6
作者：
R. Treuhaft;S. Madsen;M. Moghaddam;J. V. Zyl
通讯作者：
R. Treuhaft;S. Madsen;M. Moghaddam;J. V. Zyl
DOI：
--
发表时间：
2011
期刊：
International journal of Geomatics and Geosciences
影响因子：
--
作者：
Nafiseh Ghasemi;M. Sahebi;Ali Mohammadzadeh
通讯作者：
Nafiseh Ghasemi;M. Sahebi;Ali Mohammadzadeh
DOI：
--
发表时间：
2012-04
期刊：
--
影响因子：
--
作者：
H. T. M. Dinh;F. Rocca;S. Tebaldini;M. M. d'Alessandro-M.;T. Toan
通讯作者：
H. T. M. Dinh;F. Rocca;S. Tebaldini;M. M. d'Alessandro-M.;T. Toan
影响因子：
1.6
作者：
C. Albinet;P. Borderies;A. Hamadi;P. Dubois-Fernandez;T. Koleck;S. Angélliaume
通讯作者：
C. Albinet;P. Borderies;A. Hamadi;P. Dubois-Fernandez;T. Koleck;S. Angélliaume
DOI：
10.1109/36.312903
发表时间：
1994
期刊：
IEEE Trans. Geosci. Remote. Sens.
影响因子：
--
作者：
E. Rignot;J. Way;Cynthia L. Williams;L. Viereck
通讯作者：
E. Rignot;J. Way;Cynthia L. Williams;L. Viereck