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

fYear

2014

fDate

13-18 July 2014

Firstpage

840

Lastpage

842

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International

Conference_Location

Quebec City, QC

Type

conf

DOI

10.1109/IGARSS.2014.6946555

Filename

6946555