Comparing Modeling Methods for Predicting Forest Attributes Using LiDAR Metrics and Ground Measurements

Canadian Journal of Remote Sensing

Volumn 42, Issue 6, 2016, Pages 739-765

  Shin, Joonghoon ^a   Temesgen, Hailemariam ^a   Strunk, Jacob L ^b   Hilker, Thomas ^a  

^a OREGON STATE UNIVERSITY   (United States)

^b Washington State Department of Natural Resources   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION TREES; FORECASTING; FORESTRY; LIGHT MODULATORS; OPTICAL RADAR; REGRESSION ANALYSIS;

GEOGRAPHICALLY WEIGHTED REGRESSION; GROUND MEASUREMENTS; MODELING PROCEDURE; ORDINARY LEAST SQUARES; PERFORMANCE MEASURE; PREDICTION INTERVAL; PREDICTOR VARIABLES; QUADRATIC MEAN DIAMETER;

LEAST SQUARES APPROXIMATIONS;

EID: 85002335998     PISSN: 07038992     EISSN: 17127971     Source Type: Journal    
DOI: 10.1080/07038992.2016.1252908     Document Type: Article

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