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Model-Based Estimation of Forest Canopy Height in Red and Austrian Pine Stands Using Shuttle Radar Topography Mission and Ancillary Data: A Proof-of-Concept Study

机译:基于模型的航天飞机雷达地形任务和辅助数据估算红松林和奥地利松林林冠层高度的概念验证研究

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In this paper, accurate tree stand height retrieval is demonstrated using C-band Shuttle Radar Topography Mission (SRTM) height and ancillary data. The tree height retrieval algorithm is based on modeling uniform tree stands with a single layer of randomly oriented vegetation particles. For such scattering media, the scattering phase center height, as measured by SRTM, is a function of tree height, incidence angle, and the extinction coefficient of the medium. The extinction coefficient for uniform tree stands is calculated as a function of tree height and density using allometric equations and a fractal tree model. The accuracy of the proposed algorithm is demonstrated using SRTM and TOPSAR data for 15 red pine and Austrian pine stands (TOPSAR is an airborne interferometric synthetic aperture radar). The algorithm yields root-mean-square (rms) errors of 2.5–3.6 m, which is a substantial improvement over the 6.8–8.3-m rms errors from the raw SRTM minus National Elevation Dataset Heights.
机译:在本文中,使用C波段穿梭雷达地形任务(SRTM)高度和辅助数据演示了准确的树架高度检索。树高检索算法基于对具有单层随机定向植被粒子的均匀树架进行建模。对于这种散射介质,由SRTM测量的散射相中心高度是树高,入射角和介质消光系数的函数。使用异速生长方程和分形树模型,计算出统一树种的消光系数作为树高和密度的函数。使用SRTM和TOPSAR数据对15个赤松和奥地利松林站(TOPSAR是一种机载干涉式合成孔径雷达)进行了验证,所提出算法的准确性。该算法产生的均方根(rms)误差为2.5–3.6 m,这比原始SRTM减去“国家立面数据集高度”的6.8–8.3-m rms误差有很大的改进。

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