Forest Above-Ground Biomass Estimation Using Polarimetric Interferometry SAR Coherence Tomography
Forest Above-Ground Biomass Estimation Using Polarimetric Interferometry SAR Coherence Tomography
复制标题
使用偏振干涉SAR相干断层扫描进行森林地上生物量估算
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
Caf State
中科院分区：
文献类型：
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作者：
Caf State
基于偏振相干层析成像（PCT）技术，利用机载单基线偏振干涉SAR（Pol-InSAR）数据，提出了一种森林地面生物量（AGB）检索新方法。首先，利用单基线PCT技术提取森林各像元相对反射率（FVDRR）垂直分布；然后，从每个相应林分内所有像素点的FVDRR计算每个林分的平均FVDRR。再次，将各林分的平均FVDRR拟合到高斯函数中，提取林冠层高度，这里定义为层析林冠层高度（TomH）；最后，以20个原位林分AGB为参考，采用回归分析方法和交叉验证方法，构建基于TomH的森林AGB估算模型并进行评估。结果表明，测定系数r2为0。822， RMSE为53。14 t·hm- 2基于TomH的森林AGB检索模型。TomH与原位森林AGB的相关性高于三期森林高度的相关性。该方法简单易行，可提高森林AGB估计的精度。此外，我们的研究区域没有信号饱和。
A new forest method for retrieving above ground biomass( AGB) was developed based on Polarization Coherence Tomograhpy( PCT) technique using airborne single baseline polarimetric interferometric SAR( Pol-InSAR) data. First of all,forest vertical distribution of relative reflectivity( FVDRR) for each pixel was extracted using single baseline PCT technique. Then,the mean FVDRR for each forest stand was calculated from the FVDRR of all the pixels inside each corresponding forest stand. Thirdly,the mean FVDRR of each stand was fitted to Gaussion function and the forest canopy height,here defined as tomography canopy height( TomH),was extracted. Finally,regression analysis method and cross-validation approach were applied to build and assess forest AGB estimation model based on TomH using 20 in-situ forest stand AGB as reference. The result showed that the determination coefficient R2was 0. 822 and RMSE was 53. 14 t·hm- 2of the forest AGB retrieval model based on TomH. TomH had a higher correlation with in-situ forest AGB than that of three-stage inversed forest height. This approach is simple and easy to implement,and it can improve the accuracy of forest AGB estimation. Moreover,there was no signal saturation in our study area.