Model-based mean square error estimators for k-nearest neighbour predictions and applications using remotely sensed data for forest inventories

Remote Sensing of Environment

Volumn 113, Issue 3, 2009, Pages 476-488

  Magnussen, Steen ^a,c   McRoberts, Ronald E ^b,c   Tomppo, Erkki O ^b,c  

^a LAURENTIAN FORESTRY CENTRE   (Canada)

^b USDA FOREST SERVICE   (United States)

^c FINNISH FOREST RESEARCH INSTITUTE   (Finland)

Author keywords

Forest inventory; Non parametric; Single index model; Small area estimation; Spatial correlation function; Spatial prediction; Variance function

Indexed keywords

BLOCK CODES; CORRELATION METHODS; FORESTRY; FUNCTIONS; MEAN SQUARE ERROR; MODAL ANALYSIS; PLASMAS; PROBABILITY DENSITY FUNCTION;

FOREST INVENTORY; NON-PARAMETRIC; SINGLE INDEX MODEL; SMALL AREA ESTIMATION; SPATIAL CORRELATION FUNCTION; SPATIAL PREDICTION; VARIANCE FUNCTION;

FORECASTING;

CORRELATION; FOREST INVENTORY; LANDSAT; NUMERICAL MODEL; REMOTE SENSING; VARIANCE ANALYSIS;

CORRELATION; DATA PROCESSING; FORECASTS; FORESTRY; INVENTORIES; MATHEMATICAL MODELS; PLASMA; PROBABILITY; REMOTE SENSING;

EID: 58249141434     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2008.04.018     Document Type: Article

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