Mapping individual tree location, height and species in broadleaved deciduous forest using airborne LIDAR and multi-spectral remotely sensed data

International Journal of Remote Sensing

Volumn 26, Issue 3, 2005, Pages 431-455

  Koukoulas, S ^a   Blackburn, G A ^b  

^a UNIVERSITY OF THE AEGEAN   (Greece)

^b LANCASTER UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATION; DATA REDUCTION; FEATURE EXTRACTION; GEOGRAPHIC INFORMATION SYSTEMS; IMAGE ANALYSIS; INFORMATION ANALYSIS; PHOTOGRAMMETRY; REMOTE SENSING;

AIRBORNE THEMATIC MAPPERS (ATM); CANOPY HEIGHT MODELS (CHM); DIGITAL ELEVATION MODELS (DEM);

FORESTRY;

AERIAL PHOTOGRAPHY; BROAD-LEAVED FOREST; CANOPY ARCHITECTURE; DECIDUOUS FOREST; GIS; LIDAR; MULTISPECTRAL IMAGE; REMOTE SENSING;

AUTOMATION; FORESTRY; GIS; IMAGE ANALYSIS; PHOTOGRAMMETRY; REMOTE SENSING;

EID: 13944264708     PISSN: 01431161     EISSN: None     Source Type: Journal    
DOI: 10.1080/0143116042000298289     Document Type: Article

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