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Estimation of forest parameters using CARABAS-II VHF SAR data

机译:使用CARABAS-II VHF SAR数据估算森林参数

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摘要

The use of airborne CARABAS-II VHF (20–90 MHz) SAR data for retrieval of forest parameters has been investigated. The investigation was performed at a test site located in the southwest of Sweden consisting mainly of Norway spruce forests. Regression models predicting forest parameters from radar backscattering amplitude were developed and evaluated. The results showed a linear relationship between backscattering amplitude and forest stem volume, stem diameter, and tree height. The analysis also showed that the radar signal is strongly affected by ground slope conditions. The root mean square errors from the regression analysis, restricted to forest stands on near-horizontal ground, were found to be 66 m3 ha 1, 3.2 cm, and 2.3 m for stem volume, stem diameter, and tree height respectively. No saturation of the backscattered signal was observed up to the maximum stem volume of 625 m3 ha 1, corresponding to a biomass of 375 tons ha 1. The results imply that VHF SAR data have significant potential for operational use in forestry.
机译:已经研究了使用机载CARABAS-II VHF(20–90 MHz)SAR数据检索森林参数的方法。这项调查是在瑞典西南部的一个测试地点进行的,该地点主要由挪威云杉林组成。开发并评估了从雷达反向散射振幅预测森林参数的回归模型。结果表明,反向散射幅度与森林茎体积,茎直径和树高之间呈线性关系。分析还表明,雷达信号受地面坡度条件的强烈影响。通过回归分析得出的均方根误差限于茎水平,茎径和树高分别为66 m3 ha,3.2 cm和2.3 m,仅限于近水平地面上的林分。直到最大茎体积为625 m3 ha 1时,未观察到反向散射信号的饱和,对应于375吨ha 1的生物量。结果表明,甚高频SAR数据具有在林业中实际应用的巨大潜力。

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