TITLE:
Urban Vegetation Mapping from Fused Hyperspectral Image and LiDAR Data with Application to Monitor Urban Tree Heights
AUTHORS:
Fatwa Ramdani
KEYWORDS:
Fusion; LiDAR; Urban Vegetation; Hyperspectral; Mapping
JOURNAL NAME:
Journal of Geographic Information System,
Vol.5 No.4,
July
30,
2013
ABSTRACT: Urban
vegetations have infinite proven benefits for urban inhabitants including
providing shade, improving air quality, and enhancing the look and feel of
communities. But creating a complete inventory is a time consuming and resource
intensive process. The extraction of urban vegetation is a challenging task,
especially to monitor the urban tree heights. In this study we present an
efficient extraction method for mapping and monitoring urban tree heights using
fused hyperspectral image and LiDAR data. Endmember distribution mapping using
the spectral angle mapper technique is employed in this study. High convenience
results achieved using fused hyperspectral and LiDAR data from this semiautomatics
technique. This method could enable urban community organizations or local
governments to map and monitorurban’s tree height and its spatial
distribution.