Title :
Linking Spatial Pattern and Biophysical Parameters of Urban Vegetation by Multitemporal Landsat Imagery
Author :
Junmei Tang ; Jianwu Tang
Author_Institution :
Dept. of Geogr. & Environ. Syst., Univ. of Maryland, Baltimore, MD, USA
Abstract :
Rapid urbanization has profoundly transformed the urban vegetation structure and its biophysical condition throughout the world. This research examined the spatial pattern and temporal dynamic of different vegetation types in relation to two biophysical parameters of urban vegetation, the leaf area index and fraction of photosynthetically active radiation, through remote sensing techniques in the Baltimore-Washington corridor area from 1990 to 2010. The results show that the productivity of urban vegetation was affected by the urbanization and the associated fragmentation processes. These results help us track the vegetation changes caused by urbanization and anthropogenic land surface change.
Keywords :
geophysical image processing; vegetation; vegetation mapping; AD 1990 to 2010; Baltimore-Washington corridor area; anthropogenic land surface change; biophysical condition; biophysical parameters; fragmentation processes; leaf area index; multitemporal Landsat imagery; photosynthetically active radiation; rapid urbanization; remote sensing techniques; spatial pattern; temporal dynamic; urban vegetation structure; vegetation changes; vegetation types; Biophysical parameters; remote sensing; spatial pattern; urban vegetation;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2013.2259795