Journal
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
Volume 30, Issue -, Pages 56-64Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.jag.2014.01.016
Keywords
Airborne LiDAR; Urban vegetation; Laser point intensity; Multilayer vegetation coverage; Median filter
Categories
Funding
- 973 Program [2010CB951503]
- 863 Program [2008AA12Z106]
- Natural Science Foundation of China [40501047]
- Priority Academic Program Development of Jiangsu Higher Education Institutions
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Urban vegetation is of a strategic importance for the life quality in the increasing urbanized societies. However, it is still difficult to extract accurately urban vegetation vertical distribution with remote sensing images. This paper presented an effective method to extract multilayer vegetation coverage in urban areas using airborne Light Detection and Ranging (LiDAR) discrete points with intensity information. It was applied in Nanjing City, one of the ecological cities in China. Firstly, a median filtering algorithm based on discrete points was used to restrain high-frequency noise. The airborne LiDAR data intensities of different urban objects were analyzed and obtained three rules, which can distinguish between vegetation and non-vegetation in urban areas, after removing the influence of topography. According to the footprint size and principles of distribution of the point cloud, multilayer vegetation coverage, including trees, shrubs and grass, was achieved by the inverse distance weighting (IDW) interpolation method. The results show that the overall accuracy of the vegetation point classification is 94.57%, which is much accurate than that of the methods in TerraSolid software, through comparing with the investigation in the field and Digital Orthophoto Maps (DOM). This method proposed in our work can be applied to in the extraction of multilayer vegetation coverage in urban area. (C) 2014 Elsevier B.V. All rights reserved.
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