Title :
The synergy of ALOS/PRISM and ALOS/PALSAR for the mapping of forest height
Author :
Wenjian Ni ; Guoqing Sun ; Zhiyu Zhang
Author_Institution :
State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
Abstract :
Forest height is an important indicator for forest biomass. Stereo imagery is sensitive to the vertical structure of forest. However, the result directly derived from stereo imagery is digital elevation model. The ground surface elevation under forest canopy is needed to derive forest height from stereo imagery. Considering the penetration abilities of L-band SAR data, the combination of stereo imagery and the L-band InSAR for the estimation of forest height was proposed. Their difference image was compared with the forest height provided by lidar data. The forest patches exhibited in lidar data were also clearly visible in the difference image. It is feasible to extract forest height information from the combination of PALSAR InSAR data and PRISM stereo images.
Keywords :
digital elevation models; optical radar; radar imaging; radar interferometry; remote sensing by laser beam; remote sensing by radar; stereo image processing; synthetic aperture radar; vegetation; ALOS/PALSAR; ALOS/PRISM; L-band InSAR data; PALSAR InSAR data; PRISM stereo images; difference image; digital elevation model; forest biomass; forest canopy; forest height estimation; forest height information; forest height mapping; forest vertical structure; ground surface elevation; lidar data; penetration abilities; Biomass; Image resolution; L-band; Laser radar; Optical surface waves; Remote sensing; Synthetic aperture radar; InSAR; forest height; stereo imagery;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
DOI :
10.1109/IGARSS.2014.6946555
