Kriging prediction of stand-level forest information using mobile laser scanning data adjusted for nondetection

Canadian Journal of Forest Research

Volumn 47, Issue 9, 2017, Pages 1257-1265

  Saarela, Svetlana ^a,b   Breidenbach, Johannes ^a   Raumonen, Pasi ^c   Grafström, Anton ^b   Ståhl, Göran ^b   Ducey, Mark J ^d   Astrup, Rasmus ^a  

^a NORWEGIAN INSTITUTE OF BIOECONOMY RESEARCH   (Norway)

^b SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES   (Sweden)

^c TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

^d UNIVERSITY OF NEW HAMPSHIRE   (United States)

Author keywords

Covariogram; Detectability function; Forest management; Model based inference

Indexed keywords

ESTIMATION; FORECASTING; FORESTRY; LASER APPLICATIONS; SCANNING; SURFACE ANALYSIS; UNCERTAINTY ANALYSIS;

COVARIOGRAM; DETECTABILITY; DETECTABILITY FUNCTION; KRIGING PREDICTION; LASER SCANNING DATA; MODEL-BASED INFERENCE; MODEL-BASED OPC; STAND LEVELS; STEM DENSITY; UNCERTAINTY;

KRIGING;

FIELD METHOD; FOREST MANAGEMENT; FORESTRY MODELING; INFORMATION; KRIGING; LASER METHOD; PREDICTION; SAMPLING; STAND STRUCTURE; STEM; VARIOGRAM;

DATA PROCESSING; FOREST MANAGEMENT; FORESTS; SCANNING;

EID: 85037370105     PISSN: 00455067     EISSN: 12086037     Source Type: Journal    
DOI: 10.1139/cjfr-2017-0019     Document Type: Article

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