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Vegetation profiles in tropical forests from multibaseline interferometric synthetic aperture radar, field, and lidar measurements

机译:通过多基线干涉合成孔径雷达,野外和激光雷达测量,热带森林中的植被分布

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摘要

This paper addresses the estimation of vertical vegetation density profiles from multibaseline interferometric synthetic aperture radar (InSAR) data from the AirSAR aircraft at C band over primary, secondary, and abandoned-pasture stands at La Selva Biological Station, Costa Rica in 2004. Profiles were also estimated from field data taken in 2006 and lidar data taken with the LVIS, 25 m spot instrument in 2005. After motivating the study of tropical forest profiles based on their role in the global carbon cycle, ecosystem state, and biodiversity, this paper describes the InSAR, field, and lidar data acquisitions and analyses. Beyond qualitative agreement between profiles from the 3 measurement techniques, results show that InSAR and lidar profile-averaged mean height have RMS scatters about field-measured means of 3.4 m and 3.2 m, 16% and 15% of the average mean height, respectively. InSAR and lidar standard deviations of the vegetation distribution have RMS scatters about the field standard deviations of 1.9 m and 1.5 m, or 27% and 21%, respectively. Dominant errors in the profile-averaged mean height for each measurement technique were modeled. InSAR inaccuracies, dominated by ambiguities in finding the ground altitude and coherence calibration, together account for about 3 m of InSAR error in the mean height. The dominant, modeled error for the field measurements was the inaccuracy in modeling the trees as uniformly filled volumes of leaf area, inducing field errors in mean height of about 3 m. The dominant, modeled lidar error, also due to finding the ground, was 2 m.
机译:本文讨论了2004年哥斯达黎加La Selva生物站主要,次要和废弃草场的C波段AirSAR飞机在C波段通过多基线干涉合成孔径雷达(InSAR)数据估算的垂直植被密度剖面。也是根据2006年的实地数据和2005年使用LVIS的激光雷达数据(25 m点仪器)估算的。基于热带森林剖面在全球碳循环,生态系统状态和生物多样性中的作用,推动了对热带森林剖面的研究, InSAR,现场和激光雷达数据采集和分析。结果表明,除了3种测量技术的轮廓之间的定性一致以外,InSAR和激光雷达轮廓平均平均高度在RMS散布值分别为3.4 m和3.2 m,分别为平均平均高度的16%和15%。植被分布的InSAR和激光雷达标准偏差的RMS散布分别约为1.9 m和1.5 m的野外标准偏差,即27%和21%。对每种测量技术的轮廓平均平均高度中的主要误差进行了建模。 InSAR的不准确度主要由寻找地面高度和相干性标定过程中的模棱两可所决定,这些误差总计占平均高度中InSAR误差的3 m左右。现场测量的主要建模误差是将树木建模为叶面积的均匀填充体积时的不准确性,从而导致平均高度约为3 m的场误差。同样由于发现地面,主要的建模激光雷达误差为2 m。

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