DocumentCode :
3295840
Title :
Synchronous retrieval of forest canopy cover by airborn LiDAR and optical remote sensing
Author :
Cao, Chunxiang ; Xu, Min ; Bao, Yunfei ; Zhang, Hao
Author_Institution :
State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
fYear :
2010
fDate :
25-30 July 2010
Firstpage :
2660
Lastpage :
2663
Abstract :
Forest canopy cover is retrieved Synchronous by the airborne LiDAR data and SPOT-5 HRG data, using the method of linear spectrum decomposition model combined with Li-Strahler geometric-optical model. First, the airborne LiDAR data is used to retrieve forest parameters and then the proportion of pixel not covered by crown or shadow Kg of each pixel in the sample was calculated using Li-Strahler geometric-optical model, while the linear spectrum decomposition model is used to extract the proportion of pixel not covered by crown or shadow Kg of each pixel in the whole imagery.
Keywords :
optical radar; remote sensing by radar; vegetation mapping; Li-Strahler geometric-optical model; SPOT-5 HRG data; airborne LiDAR data; forest canopy cover; forest parameters; linear spectrum decomposition model; optical remote sensing; Analytical models; Atmospheric modeling; Data models; Laser radar; Pixel; Reflectivity; Remote sensing; Forest canopy cover; Geo-Optical Model; LiDAR; Linear spectrum decomposition model;
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.2010.5649315
Filename :
5649315
Link To Document :
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