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首页> 外文期刊>Geoscience and Remote Sensing Letters, IEEE >Forest Above-Ground Biomass Estimation From Vertical Reflectivity Profiles at L-Band
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Forest Above-Ground Biomass Estimation From Vertical Reflectivity Profiles at L-Band

机译:L波段垂直反射率剖面上的森林地上生物量估计

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摘要

Forest height is an important parameter for the allometric estimation of above-ground forest biomass (AGB). However, variable forest stand densities limit the performance of the allometric estimation of AGB from height measurements alone. Recently, the use of vertical forest structure information as an indicator for the variation of stand density has been proposed and used to improve the allometric estimation of AGB from height measurements. In this letter, the use of vertical radar reflectivity profiles at L-band obtained from SAR tomography, as a proxy for vertical forest structure for the allometric estimation of AGB, is investigated. L-band reflectivity profiles, which are reconstructed from data at different polarizations (HH and HV) and acquired under “moist” and “dry” weather conditions, are investigated. The proposed allometric AGB estimator increases the correlation factor from 0.60 to 0.81 and reduces the root-mean-square error from 50.25 to 36.30 Mg/ha when compared with the AGB estimation from forest height alone. The effect of polarization and weather conditions on the AGB estimation performance is discussed.
机译:森林高度是对地上森林生物量(AGB)进行异度估算的重要参数。但是,林分密度的变化限制了仅从高度测量中对AGB的异速生长估计的性能。近来,已经提出使用垂直森林结构信息作为林分密度变化的指标,并用于改进从高度测量中得出的AGB的异速生长估计。在这封信中,研究了使用从SAR层析成像法获得的L波段垂直雷达反射率剖面作为AGB异向估计的垂直森林结构的代理。研究了从不同偏振(HH和HV)的数据重建并在“潮湿”和“干燥”天气条件下获取的L波段反射率曲线。与仅根据森林高度进行的AGB估算相比,拟议的异速AGB估算器将相关因子从0.60增加到0.81,并将均方根误差从50.25降低到36.30 Mg / ha。讨论了极化和天气条件对AGB估计性能的影响。

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