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The effects of temporal decorrelation and topographic slope on forest height retrieval using airborne repeat-pass L-band polarimetric SAR interferometry

机译:时空去相关和地形坡度对机载重复通过L波段极化SAR干涉测量森林高度的影响

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We have explored the effects of temporal baseline and terrain slope on forest height estimation using L-band repeat-pass polarimetric synthetic aperture radar interferometry. Data were collected using NASA's Uninhabited Aerial Vehicle Synthetic Aperture Radar instrument over a study area exhibiting high slope topography in the Laurentides Wildlife Reserve of Québec, Canada. We used lidar-derived canopy height and terrain slope maps to quantify the decorrelation effects that distort the observed coherences compared to the random volume over ground forest model. We derived forest height maps for a number of different temporal baselines using both fixed model parameters and model parameters that varied with slope, and compared the results. Use of a look-up table for the terrain slope effects improved the estimated forest heights, but further work is necessary to see if slope corrections derived from lidar data for this study area can be applied to other study areas, or generalized to a theoretical model.
机译:我们已经探究了使用L波段重复通过极化合成孔径雷达干涉测量法估算的时间基线和地形坡度对森林高度估计的影响。在加拿大魁北克省Laurentides野生动物保护区的高坡度地形研究区域,使用NASA的无人飞行器合成孔径雷达仪器收集了数据。我们使用了基于激光雷达的冠层高度和地形坡度图来量化与地面森林模型上的随机体积相比,使观测到的相干性失真的去相关效果。我们使用固定模型参数和随坡度变化的模型参数得出了许多不同时间基线的森林高度图,并对结果进行了比较。为地形坡度影响使用查找表可以改善估计的森林高度,但是还需要进一步工作,以查看从该研究区域的激光雷达数据得出的坡度校正是否可以应用于其他研究区域,或者可以推广到理论模型中。

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