文档介绍：
基于车载激光扫描数据和遥感影像的城市
森林三维绿量估算#
虞思逸,吴宾,岳文辉,吴健平,余柏蒗**
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(华东师范大学地理信息科学教育部重点实验室)
摘要:市植被起着吸碳产氧、阻隔噪声、降低大气污染物总量等关键作用。对城市绿化的三
维量化能够更好地描述与分析城市植被情况,从而更精确、全面地分析城市绿化的需求总量
及环境效益。本文以高分辨率遥感影像及车载激光扫描数据作为信息源,提出了两者相结合
的城市森林三维绿量计算方法。该方法首先从车载激光扫描数据中提取了道路单株树的生物
物理参数及所占像元,再结合航空遥感数据提取的二维植被分布像元信息,对均质城市森林
片区进行三维绿量的拟合计算。最后以滨江公园为例结合目视解译结果,计算得相对精度达
到 96%。该方法拓展了车载激光扫描系统应用的领域,可运用在之后城市绿化信息的获取
上。
关键词:车载激光扫描数据;三维绿量;城市森林
中图分类号:TU985;P228
Estimation of urban green volume using VLS data and high
resolution Remote Sensing images
YU Siyi, WU Bin, YUE Wenhui, WU Jianping, YU Bailang
(Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal
University)
Abstract: Urban vegetation plays a key role in carbon absorption, oxygen production, noise abation
and atmospheric pollutant reduction. Three-dimensional quantization of urban greening helps
describing and analyzing the urban vegetation. Thus more accurate prehensive analysis of the
total demand of urban greening and environmental benefits can be reached. This paper uses the
high-resolution remote sensing images and the Vehicle-borne Laser Scanning (VLS) data and then
raises a new method of estimating urban forest 3D vegetation volume. This method first extracts
potential trees from VLS data and derives morphological parameters, including the pixel amounts they
cover. Together wi