Testing space-scale methodologies for automatic geomorphic feature extraction from lidar in a complex mountainous landscape

Water Resources Research

Volumn 46, Issue 11, 2010, Pages

  Passalacqua, Paola ^a   Tarolli, Paolo ^b,c   Foufoula Georgiou, Efi ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

^b UNIVERSITY OF PADOVA   (Italy)

^c INSTITUTE OF OCEANOGRAPHY   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

ALPINE CATCHMENTS; AREA THRESHOLD; BANK GEOMETRY; CHANNEL CROSS SECTION; CHANNEL NETWORK; CHANNEL NETWORK EXTRACTION; CLASSICAL METHODOLOGIES; COMPUTATIONALLY EFFICIENT; DIGITAL ELEVATION DATA; DIGITAL TERRAIN MODEL; FREE CHANNELS; GENTLE SLOPES; GEODESIC PATHS; HEAD WATERS; HIGH RESOLUTION; ITALIAN ALPS; MOUNTAINOUS REGIONS; NONLINEAR DIFFUSION; NONLINEAR FILTER; STUDY AREAS;

ALGORITHMS; CATCHMENTS; GEODESY; LANDSLIDES; OPTICAL RADAR;

FEATURE EXTRACTION;

ALGORITHM; CALIBRATION; CATCHMENT; CHANNEL FLOW; COMPUTER SIMULATION; DIFFUSION; DIGITAL ELEVATION MODEL; DOLOMITE; GEODESY; GEOMETRY; GEOMORPHOLOGY; HEADWATER; IDENTIFICATION METHOD; LANDSCAPE; LANDSLIDE; LIDAR; MOUNTAIN ENVIRONMENT; NONLINEARITY; NUMERICAL MODEL; OPTIMIZATION; PERFORMANCE ASSESSMENT; RESOLUTION; SLOPE; THRESHOLD; WAVELET;

ALPS; BELLUNO; ITALY; RIO CORDON; VENETO;

EID: 78649495060     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2009WR008812     Document Type: Article

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