Data fusion study between polarimetric SAR, hyperspectral and lidar data for forest information

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 2, Issue 1, 2008, Pages

  Goodenough, David G ^a,b   Chen, Hao ^a   Dyk, Andrew ^a   Hobart, Geordie ^a,b   Richardson, Ashlin ^a  

^a PACIFIC FORESTRY CENTRE   (Canada)

^b UNIVERSITY OF VICTORIA   (Canada)

Author keywords

Classification; Decomposition; Forest; Polarimetrie SAR; Topography

Indexed keywords

ANALYSIS METHOD; BRITISH COLUMBIA; CLASSIFICATION; DATA SOURCE; DECOMPOSITION METHODS; FOREST; FOREST CLASSIFICATION; FOREST SPECIES; FOREST STRUCTURE; FUSION TECHNIQUES; HIGH SPECTRAL RESOLUTION; HYPERSPECTRAL; HYPERSPECTRAL DATA; INFORMATION EXTRACTION; LAND COVER; LEE ALGORITHMS; LIDAR DATA; POLARIMETRIC SAR; POLARIMETRIE SAR; POTENTIAL CAPABILITY; SCATTERING ANALYSIS; STUDY AREAS; TOPOGRAPHY EFFECTS; VERTICAL STRUCTURES;

ATMOSPHERICS; BIOMASS; ENGINEERING GEOLOGY; FORESTRY; OPTICAL RADAR; POLARIMETERS; POLAROGRAPHIC ANALYSIS; REMOTE SENSING;

SYNTHETIC APERTURES;

BIOMASS; CLASSIFICATION; DECAY; ENGINEERING; FORESTRY; GEOLOGY; POLARIMETRY; RADAR; REMOTE SENSING;

EID: 66549109209     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2008.4778982     Document Type: Conference Paper

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