ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-7, 181-186, 2016
https://doi.org/10.5194/isprs-annals-III-7-181-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
07 Jun 2016
MAPPING URBAN TREE CANOPY COVER USING FUSED AIRBORNE LIDAR AND SATELLITE IMAGERY DATA
Ebadat G. Parmehr1, Marco Amati1, and Clive S. Fraser2 1Centre for Urban Research, School of Global, Urban and Social Studies, RMIT University, VIC 3001, Australia
2Department of Infrastructure Engineering, University of Melbourne, VIC 3010, Australia
Keywords: Tree Canopy Cover, Airborne LiDAR, Imagery Data, NDVI, Data Fusion Abstract. Urban green spaces, particularly urban trees, play a key role in enhancing the liveability of cities. The availability of accurate and up-to-date maps of tree canopy cover is important for sustainable development of urban green spaces. LiDAR point clouds are widely used for the mapping of buildings and trees, and several LiDAR point cloud classification techniques have been proposed for automatic mapping. However, the effectiveness of point cloud classification techniques for automated tree extraction from LiDAR data can be impacted to the point of failure by the complexity of tree canopy shapes in urban areas. Multispectral imagery, which provides complementary information to LiDAR data, can improve point cloud classification quality. This paper proposes a reliable method for the extraction of tree canopy cover from fused LiDAR point cloud and multispectral satellite imagery data. The proposed method initially associates each LiDAR point with spectral information from the co-registered satellite imagery data. It calculates the normalised difference vegetation index (NDVI) value for each LiDAR point and corrects tree points which have been misclassified as buildings. Then, region growing of tree points, taking the NDVI value into account, is applied. Finally, the LiDAR points classified as tree points are utilised to generate a canopy cover map. The performance of the proposed tree canopy cover mapping method is experimentally evaluated on a data set of airborne LiDAR and WorldView 2 imagery covering a suburb in Melbourne, Australia.
Conference paper (PDF, 1724 KB)


Citation: Parmehr, E. G., Amati, M., and Fraser, C. S.: MAPPING URBAN TREE CANOPY COVER USING FUSED AIRBORNE LIDAR AND SATELLITE IMAGERY DATA, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-7, 181-186, https://doi.org/10.5194/isprs-annals-III-7-181-2016, 2016.

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