Waveform lidar over vegetation: An evaluation of inversion methods for estimating return energy

Remote Sensing of Environment

Volumn 164, Issue , 2015, Pages 208-224

  Hancock, Steven ^a   Armston, John ^b,c   Li, Zhan ^d   Gaulton, Rachel ^e   Lewis, Philip ^f   Disney, Mathias ^f   Mark Danson, F ^g   Strahler, Alan ^d   Schaaf, Crystal ^h   Anderson, Karen ^a   Gaston, Kevin J ^a  

^a UNIVERSITY OF EXETER   (United Kingdom)

^b DEPARTMENT OF ENVIRONMENT AND RESOURCE MANAGEMENT   (Australia)

^c UNIVERSITY OF QUEENSLAND   (Australia)

^d BOSTON UNIVERSITY   (United States)

^e NEWCASTLE UNIVERSITY   (United Kingdom)

^f UNIVERSITY COLLEGE LONDON   (United Kingdom)

^g UNIVERSITY OF SALFORD   (United Kingdom)

^h UNIVERSITY OF MASSACHUSETTS BOSTON   (United States)

Author keywords

Forests; Full waveform; Lidar; Reflectance; Signal processing

Indexed keywords

GAUSSIAN DISTRIBUTION; MEAN SQUARE ERROR; REFLECTION; SIGNAL PROCESSING; VEGETATION;

COMMERCIAL LIDARS; FORESTS; FULL-WAVEFORMS; INVERSION METHODS; RELATIVE ACCURACY; ROOT MEAN SQUARE ERRORS; SAMPLING INTERVAL; STANDARD DEVIATION;

OPTICAL RADAR;

ACCURACY ASSESSMENT; ALGORITHM; FOREST ECOSYSTEM; GAUSSIAN METHOD; LIDAR; PERFORMANCE ASSESSMENT; REFLECTANCE; SENSOR; SIGNAL PROCESSING; VEGETATION COVER; WAVEFORM ANALYSIS;

EID: 84947744647     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2015.04.013     Document Type: Article

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