基于机载测距雷达的森林清查自动化

J. Hyyppa, M. Hallikainen, J. Pulliainen, H. Hyyppa, K. Heiska
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引用次数: 0

摘要

讨论了基于机载测距雷达数据的森林清查方法。该方法可用于部分自动化目前以劳动力为主的森林清查方法。使用这些方法,平均树高和优势树高的标准偏差为1米。对于直径为40米的林分,通过有效地计算树木的高度分布和计算森林冠层轮廓的背散射功率中心,可以以15%的相对精度估计每公顷的茎体积。这些方法是使用直升机搭载的8通道测距散射计HUTSCAT(赫尔辛基科技大学散射计)开发的,它可以测量距离分辨率为65厘米的雷达森林冠层剖面(FCP)。
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Automation of Forest Inventory using Airborne Ranging Radar
Forest inventory methods based on data acquired with an airborne ranging radar are discussed. The approach can be used to partly automate present labour-dominated forest inventory methods. Using these methods, the mean and dominant tree height can be measured with a standard deviation of 1 metre. The stem volume per hectare can be estimated with a relative accuracy of 15 % by effectively counting the height distribution of the trees and by calculating the centre of backscattered power from the forest canopy profile for a stand with a diameter of 40 metres. The methods have been developed using a helicopter-borne 8-channel ranging scattero-meter HUTSCAT (Helsinki University of Technology SCATterometer) which can measure a radar forest canopy profile (FCP) with a range resolution of 65 cm.
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