A nearest-neighbor imputation approach to mapping tree species over large areas using forest inventory plots and moderate resolution raster data

Forest Ecology and Management

Volumn 271, Issue , 2012, Pages 182-198

  Wilson, B Tyler ^a   Lister, Andrew J ^a   Riemann, Rachel I ^a  

^a USDA FOREST SERVICE   (United States)

Author keywords

Canonical correspondence analysis; Forest inventory; MODIS; Nearest neighbor imputation; Species distribution; Vegetation phenology

Indexed keywords

CANONICAL CORRESPONDENCE ANALYSIS; FOREST INVENTORY; MODIS; NEAREST-NEIGHBOR IMPUTATION; SPECIES DISTRIBUTIONS; VEGETATION PHENOLOGY;

BIOLOGY; DATA PROCESSING; DATA REDUCTION; FOURIER SERIES; MAPPING; METADATA; PHENOLS; POPULATION DISTRIBUTION; RADIOMETERS; VEGETATION;

FORESTRY;

ABUNDANCE; BASAL AREA; CORRESPONDENCE ANALYSIS; DATABASE; FOREST INVENTORY; FOREST MANAGEMENT; MODIS; PHENOLOGY; PIXEL; POPULATION DISTRIBUTION; RASTER; REGIONAL PLANNING; SATELLITE IMAGERY; VEGETATION COVER;

ALGORITHMS; BASAL AREA; DATA BASES; FOURIER ANALYSIS; IMAGE ANALYSIS; MAPPING; PLANTS; RADIOMETRY;

EID: 84857975353     PISSN: 03781127     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foreco.2012.02.002     Document Type: Article

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