A matching procedure to improve k-NN estimation of forest attribute maps

Forest Ecology and Management

Volumn 272, Issue , 2012, Pages 35-50

  Baffetta, F ^a   Corona, P ^b   Fattorini, L ^a  

^a UNIVERSITY OF SIENA   (Italy)

^b UNIVERSITY OF TUSCIA   (Italy)

Author keywords

0 Inflated beta distribution; Design based inference; Forest management planning and scenario analysis; Monte Carlo study

Indexed keywords

ATTRIBUTE VALUES; BETA DISTRIBUTIONS; DESIGN-BASED INFERENCE; DISTRIBUTION MATCHING; EMPIRICAL DISTRIBUTION FUNCTIONS; FOREST INVENTORY; FOREST MANAGEMENT PLANNING AND SCENARIO ANALYSIS; FOREST RESOURCES; FOREST VEGETATION; GROUND DATA; K-NEAREST NEIGHBOUR (K-NN); MONTE CARLO STUDY; PIXEL LEVEL; POST-PROCESSING PROCEDURE; REGION OF INTEREST; REMOTELY SENSED DATA; SCENARIO ANALYSIS; SIMULATION STUDIES; SPATIAL VARIABILITY; STANDING WOOD VOLUME; STATISTICAL PROPERTIES;

ESTIMATION; PIXELS; POPULATION STATISTICS; REMOTE SENSING;

FORESTRY;

EMPIRICAL ANALYSIS; ENVIRONMENTAL ASSESSMENT; FOREST INVENTORY; FOREST RESOURCE; MONTE CARLO ANALYSIS; NEAREST NEIGHBOR ANALYSIS; PERFORMANCE ASSESSMENT; PIXEL; REMOTE SENSING; RESOURCE MANAGEMENT;

BIOLOGICAL POPULATIONS; DESIGN; ESTIMATION; FOREST MANAGEMENT; FORESTRY; REMOTE SENSING; STATISTICS;

EID: 84859216407     PISSN: 03781127     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foreco.2011.06.037     Document Type: Article

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