Exploration of remotely sensed forest structure and ultrasonic range sensor metrics to improve empirical snow models

Hydrological Processes

Volumn 28, Issue 15, 2014, Pages 4433-4448

  Varhola, Andrés ^a   Coops, Nicholas C ^a   Alila, Younes ^a   Weiler, Markus ^b  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b UNIVERSITY OF FREIBURG   (Germany)

Author keywords

Hemispherical photography; Hydrologic models; Landsat; LiDAR; Snow ablation rate; Snow water equivalent

Indexed keywords

ABLATION; FORESTRY; OPTICAL RADAR; PHOTOGRAPHY; REMOTE SENSING; SNOW MELTING SYSTEMS; SURVEYS; VEGETATION;

HEMISPHERICAL PHOTOGRAPHY; HYDROLOGIC MODELS; LANDSAT; SNOW ABLATION; SNOW WATER EQUIVALENT;

SNOW;

ABLATION; EMPIRICAL ANALYSIS; FOREST COVER; HYDROLOGICAL MODELING; LANDSAT THEMATIC MAPPER; LIDAR; META-ANALYSIS; REMOTE SENSING; SENSOR; SNOW ACCUMULATION; SNOW WATER EQUIVALENT; SPATIAL VARIATION; TEMPORAL VARIATION; VEGETATION COVER;

FORESTRY; PHOTOGRAPHY; PLANTS; RADAR; REMOTE SENSING; SNOW; SURVEYS;

BRITISH COLUMBIA; CANADA;

EID: 84904349400     PISSN: 08856087     EISSN: 10991085     Source Type: Journal    
DOI: 10.1002/hyp.9952     Document Type: Article

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