Influence of lidar, Landsat imagery, disturbance history, plot location accuracy, and plot size on accuracy of imputation maps of forest composition and structure

Remote Sensing of Environment

Volumn 143, Issue , 2014, Pages 26-38

  Zald, Harold S J ^a   Ohmann, Janet L ^a   Roberts, Heather M ^a   Gregory, Matthew J ^a   Henderson, Emilie B ^a   McGaughey, Robert J ^b   Braaten, Justin ^a  

^a OREGON STATE UNIVERSITY   (United States)

^b USDA FOREST SERVICE   (United States)

Author keywords

Disturbance; Forest composition and structure; Landsat time series; Lidar; Nearest neighbor imputation

Indexed keywords

DISTURBANCE; DISTURBANCE ATTRIBUTIONS; EXPLANATORY VARIABLES; FOREST COMPOSITIONS; FUNDAMENTAL LIMITATIONS; LANDSAT TIME SERIES; NEAREST-NEIGHBOR IMPUTATIONS; VEGETATION COMPOSITION;

FORECASTING; OPTICAL RADAR; REMOTE SENSING; STRUCTURE (COMPOSITION); TIME SERIES; VEGETATION;

FORESTRY;

ACCURACY ASSESSMENT; CLIMATE EFFECT; COMMUNITY COMPOSITION; ENVIRONMENTAL DISTURBANCE; FOREST INVENTORY; LANDSAT; LIDAR; MAPPING; SATELLITE IMAGERY; TIME SERIES;

FORECASTS; FORESTRY; PLANTS; RADAR; REMOTE SENSING;

OREGON; UNITED STATES;

EID: 84892495204     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2013.12.013     Document Type: Article

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