Quantifying riparian zone structure from airborne LiDAR: Vegetation filtering, anisotropic interpolation, and uncertainty propagation

Journal of Hydrology

Volumn 442-443, Issue , 2012, Pages 36-45

  Hutton, Christopher ^a   Brazier, Richard ^a  

^a UNIVERSITY OF EXETER   (United Kingdom)

Author keywords

Channel morphology; DEM; Interpolation; LIDAR filtering

Indexed keywords

AIRBORNE LIDAR; CALIBRATION ERROR; CANOPY HEIGHT MODELS; CHANNEL BANKS; CHANNEL MORPHOLOGY; DATA SETS; DEM; DERIVED PRODUCTS; DIGITAL ELEVATION MODEL; EPHEMERAL RIVER; FILTERING PROCEDURES; GROUND POINT; HIGH RESOLUTION; INVERSE DISTANCE WEIGHTING; ISOTROPIC CONDITION; LASER SCANNING; LIGHT DETECTION AND RANGING; PARAMETER UNCERTAINTY; QUANTITATIVE INFORMATION; RAW LIDAR DATA; REMOTE SENSING TECHNOLOGY; RIPARIAN ZONES; SEMI ARID; SURFACE ANISOTROPY; UNCERTAINTY PROPAGATION; VEGETATION STRUCTURE;

ALGORITHMS; ANISOTROPY; DATA HANDLING; ERRORS; FORESTRY; INTERPOLATION; MORPHOLOGY; OPTICAL RADAR; REMOTE SENSING; SURVEYING; UNCERTAINTY ANALYSIS;

VEGETATION;

ALGORITHM; ANISOTROPY; CHANNEL MORPHOLOGY; CLASSIFICATION; DATA SET; DIGITAL ELEVATION MODEL; EPHEMERAL STREAM; ERROR ANALYSIS; INTERPOLATION; ISOTROPY; LIDAR; REMOTE SENSING; RIPARIAN ZONE; SEMIARID REGION; TOPOGRAPHY; UNCERTAINTY ANALYSIS; VEGETATION;

EID: 84861221456     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2012.03.043     Document Type: Article

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