Tree species classification in the Southern Alps based on the fusion of very high geometrical resolution multispectral/hyperspectral images and LiDAR data

Remote Sensing of Environment

Volumn 123, Issue , 2012, Pages 258-270

  Dalponte, Michele ^a,b   Bruzzone, Lorenzo ^b   Gianelle, Damiano ^a  

^a RESEARCH AND INNOVATION CENTRE   (Italy)

^b UNIVERSITY OF TRENTO   (Italy)

Author keywords

GeoEye 1; Hyperspectral data; LiDAR data; LiDAR point density; Multispectral data; Random forest; Support vector machine; Tree species classification

Indexed keywords

GEOEYE-1; HYPERSPECTRAL DATA; LIDAR DATA; MULTI-SPECTRAL DATA; POINT DENSITY; RANDOM FORESTS; TREE SPECIES;

ATMOSPHERICS; DECISION TREES; FORESTRY; OPTICAL RADAR; SENSORS; SPECTRAL RESOLUTION; SUPPORT VECTOR MACHINES;

CLASSIFICATION (OF INFORMATION);

ACCURACY ASSESSMENT; FOREST ECOSYSTEM; FOREST MANAGEMENT; GEOMETRY; IMAGE ANALYSIS; LIDAR; RESOLUTION; SATELLITE DATA; SATELLITE IMAGERY; SPECTRAL ANALYSIS; VEGETATION CLASSIFICATION;

BIODIVERSITY; CLASSIFICATION; FOREST MANAGEMENT; FORESTRY; IMAGE ANALYSIS; REMOTE SENSING; RESOLUTION; SENSORS;

ALPS;

EID: 84859928062     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2012.03.013     Document Type: Article

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