Title :
Radar backscatter and lidar waveform modeling of forest canopies
Author :
Sun, G. ; Ranson, K.J.
Author_Institution :
Dept. of Geogr., Maryland Univ., College Park, MD, USA
Abstract :
Providing additional data on forest spatial structure will improve the biomass estimation accuracy from radar data. Recently developed airborne lidar and future spaceborne sensor will provide unique data on canopy geometry and sub-canopy topography. Combined use of radar and lidar data has potential to improve our capability of mapping biomass regionally and globally. As an important step in the algorithm development, three-dimensional radar backscatter and lidar waveform models are parameterized using the same forest stand structure. This paper briefly describes some preliminary results, in the studies of the potential use of radar and lidar data in forest biomass estimates
Keywords :
backscatter; forestry; geophysical techniques; optical radar; radar cross-sections; radar theory; remote sensing by laser beam; remote sensing by radar; vegetation mapping; accuracy; biomass estimation; canopy; canopy geometry; forest; geophysical measurement technique; laser remote sensing; lidar; radar backscatter; radar remote sensing; radar scattering; spatial structure; vegetation mapping; waveform model; Backscatter; Biomass; Ground penetrating radar; Laser radar; Radar imaging; Rough surfaces; Spaceborne radar; Surface roughness; Surface topography; Vegetation mapping;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-6359-0
DOI :
10.1109/IGARSS.2000.860287