DocumentCode :
3318330
Title :
Resolving shadows in high resolution satellite images for estimating carbon uptake in urban-suburban areas
Author :
Wu, Jindong ; Bauer, Marvin E.
Author_Institution :
Dept. of Geogr., California State Univ., Fullerton, CA, USA
fYear :
2010
fDate :
25-30 July 2010
Firstpage :
3335
Lastpage :
3338
Abstract :
Vegetation is a basic component of urban-suburban landscapes, and turfgrass is a major vegetation type in U.S. cities. QuickBird images were acquired to map the spatial distribution of turfgrass, monitor vegetative conditions, and estimate carbon uptake. Shadows in the images were detected and removed by taking advantage of the high radiometric resolution of the QuickBird data. The results indicated that turfgrass accounted for significant proportions of land cover in the study area. Lawn grass generally has lower productivity and greater spatial variability than those of golf grass, but contributes more to carbon uptake because of the larger area coverage.
Keywords :
geophysical image processing; image resolution; vegetation mapping; QuickBird data; QuickBird image; carbon uptake; golf grass; high resolution satellite image; land cover; lawn grass; productivity; radiometric resolution; spatial distribution; spatial variability; turfgrass; urban-suburban areas; urban-suburban landscape; vegetation; vegetative condition monitoring; Carbon; Image resolution; Reflectivity; Remote sensing; Satellites; Soil; Vegetation mapping; Carbon cycle; QuickBird; gross primary production; land use and land cover; turfgrass;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
ISSN :
2153-6996
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2010.5650582
Filename :
5650582
Link To Document :
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