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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2010.5649315