Modelling tree size diversity from airborne laser scanning using canopy height models with image texture measures

Forest Ecology and Management

Volumn 295, Issue , 2013, Pages 28-37

  Ozdemir, Ibrahim ^a   Donoghue, Daniel N M ^b  

^a SULEYMAN DEMIREL UNIVERSITY   (Turkey)

^b DURHAM UNIVERSITY   (United Kingdom)

Author keywords

Airborne laser scanning; LiDAR; Stand complexity; Vertical structure

Indexed keywords

AIRBORNE LASER SCANNING; ALS DATUM; BIO-PHYSICAL VARIABLES; CANOPY HEIGHT MODELS; CELL SIZE; COEFFICIENT OF VARIATION; CROWN LENGTHS; DIAMETER-AT-BREAST HEIGHTS; FIRST-ORDER; FOREST LANDSCAPE; FOREST STAND; GREY LEVELS; GRID CELL SIZE; GRID CELLS; GRID-BASED; GROUND BASED; L-MOMENTS; LASER SCANNING; LASER-BASED; LIDAR MEASUREMENTS; POINT CLOUD; POINT-BASED; SECOND ORDERS; STANDARD DEVIATION; STUDY AREAS; TEXTURE FEATURES; TEXTURE MEASURES; TREE HEIGHT; TREE-SIZE DIVERSITY; VERTICAL STRUCTURES;

HIGHER ORDER STATISTICS; LASER APPLICATIONS; OPTICAL RADAR; REGRESSION ANALYSIS; TEXTURES;

FORESTRY;

AIRBORNE SENSING; CANOPY ARCHITECTURE; DATA SET; ENTROPY; FOREST MANAGEMENT; HEIGHT; LANDSCAPE; LIDAR; MEASUREMENT METHOD; NUMERICAL MODEL; SIZE; STAND STRUCTURE; TREE;

LASERS; RADAR; REGRESSION ANALYSIS; SCANNING; STATISTICS; TEXTURE;

EID: 84874379141     PISSN: 03781127     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foreco.2012.12.044     Document Type: Article

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