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Extraction of Vegetation for Topographic Mapping from Full-Waveform Airborne Laser Scanning Data

机译:从全波形空气传播激光扫描数据提取地形映射的植被

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Remotely sensed data are widely being used for the identification and extraction of vegetation from land surface observations. Conventional sensors have limitations in fully representing the three-dimensional structure of vegetation, which can be overcome by laser scanning (LiDAR). Most of the research on vegetation studies using lidar has been in forestry. Very few studies have looked at mapping vegetation, including low vegetation, for topographical mapping from lidar data. The aim of this study was to evaluate the classification and extraction of vegetation for topographic mapping using full-waveform airborne laser scanning data from the Avonmouth area of Bristol. The laser data was captured at a height of approximately 950m above ground level providing a point density ranging from 0.5-0.8 per m2.
机译:远程感测数据广泛用于识别和提取陆地观察的植被。传统的传感器完全表示植被的三维结构的限制,这可以通过激光扫描(LIDAR)克服。利用LIDAR的植被研究的大部分研究都在林业中。很少有研究看过植被,包括低植被,包括LIDAR数据的地形映射。本研究的目的是评估使用布里斯托尔豪南地区的全波形空气激光扫描数据进行地形映射的分类和提取。激光数据以高于地面高度的高度950米的高度,提供从0.5-0.8 / m2的点密度。

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