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Impact and modeling of topographic effects on P-band SAR backscatter from boreal forests

机译:地形效应对北方森林P波段SAR背向散射的影响和建模

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P-band SAR backscatter has been proven to be useful for forest biomass prediction. However, there is a need for further studies on effects of topography on P-band backscatter. In this paper, two prediction models for backscatter are evaluated, one using only biomass as predictor and one which also includes topographic corrections. Data from the BioSAR 2007 and BioSAR 2008 campaigns are used to evaluate the models. A multi-scale error model which is able to handle data from several imaging directions is used. For HH, the slope correction on stand level used in this paper is unable to correct for topographic effects. This is consistent with previous results that within stand topographic variability has a significant impact on HH P-band backscatter. For HV and VV, the model which considers topography gives lower prediction errors than the model which does not include topography. Moreover, for these polarizations topographic the correction strongly reduce the variability in backscatter measurements between imaging directions for stands with ground slopes larger than about 5 degrees.
机译:P波段SAR背向散射已被证明可用于森林生物量预测。但是,有必要进一步研究地形对P波段反向散射的影响。在本文中,评估了两种反向散射预测模型,一种仅使用生物量作为预测因子,另一种还包括地形校正。来自BioSAR 2007和BioSAR 2008活动的数据用于评估模型。使用了能够处理来自多个成像方向的数据的多尺度误差模型。对于HH,本文使用的展位水平坡度校正无法校正地形影响。这与以前的结果一致,即站台地形变异性对HH P波段反向散射具有重大影响。对于HV和VV,考虑地形的模型比不包括地形的模型具有更低的预测误差。此外,对于这些极化地形图,对于具有大于约5度的地面坡度的展台,该校正极大地降低了成像方向之间反向散射测量的可变性。

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