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Revised method for forest canopy height estimation from Geoscience Laser Altimeter System waveforms

机译:根据地球科学激光测高仪系统波形估算林冠高度的修订方法

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摘要

The vertical extent of waveforms collected by the Geoscience Laser Altimeter System (onboard ICESat - the Ice, Cloud, and land Elevation Satellite) increases as a function of terrain slope and footprint size (the area on the ground that is illuminated by the laser). Over sloped terrain, returns from both canopy and ground surfaces can occur at the same elevation. As a result, the height of the waveform (waveform extent) is insufficient to make estimates of tree height on sloped terrain, and algorithms are needed that are capable of retrieving information about terrain slope from the waveform itself. Early work on this problem used a combination of waveform height indices and slope indices from a digital elevation model (DEM). A second generation algorithm was developed using datasets from diverse forests in which forest canopy height has been estimated in the field or by via airborne lidar. Forest types considered in this paper include evergreen needleleaf, deciduous broadleaf and mixed stands in temperate North America, and tropical evergreen broadleaf forests in Brazil. The algorithm described eliminates the need for a DEM, and estimates forest canopy height with an RMSE of 5 m (83percent of variance in forest canopy height explained).
机译:由Geoscience激光测高仪系统(ICESat上的冰,云和陆地高程卫星)采集的波形的垂直范围随地形坡度和足迹尺寸(由激光照射的地面面积)而增加。在倾斜的地形上,冠层和地面的返回都可能在同一高度发生。结果,波形的高度(波形范围)不足以估计倾斜地形上的树高,因此需要能够从波形本身获取有关地形坡度信息的算法。关于此问题的早期工作使用了来自数字高程模型(DEM)的波形高度指数和斜率指数的组合。使用来自不同森林的数据集开发了第二代算法,其中在野外或通过机载激光雷达估计了森林冠层高度。本文考虑的森林类型包括北美温带地区的常绿针叶,落叶阔叶和混交林,以及巴西的热带常绿阔叶林。所描述的算法消除了对DEM的需求,并以5 m的RMSE(解释了森林冠层高度变化的83%)估算了森林冠层高度。

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