Landsat time series and lidar as predictors of live and dead basal area across five bark beetle-affected forests

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 7, Issue 8, 2014, Pages 3440-3452

  Bright, Benjamin C ^a   Hudak, Andrew T ^a   Kennedy, Robert E ^b   Meddens, Arjan J H ^c  

^a ROCKY MOUNTAIN RESEARCH STATION   (United States)

^b BOSTON UNIVERSITY   (United States)

^c UNIVERSITY OF IDAHO   (United States)

Author keywords

Forestry; Image sequence analysis; Remote sensing; Vegetation mapping

Indexed keywords

DECISION TREES; ECOSYSTEMS; FORECASTING; FORESTRY; REMOTE SENSING;

AERIAL DETECTION; FOREST DISTURBANCES; IMAGE SEQUENCE ANALYSIS; LANDSAT TIME SERIES; LIGHT DETECTION AND RANGING; PREDICTOR VARIABLES; SPEARMAN CORRELATION; VEGETATION MAPPING;

OPTICAL RADAR;

ACCURACY ASSESSMENT; AERIAL PHOTOGRAPH; FOREST DYNAMICS; LANDSAT; LIDAR; REMOTE SENSING; SATELLITE DATA; SATELLITE IMAGERY; TIME SERIES ANALYSIS; VEGETATION MAPPING;

FORESTRY; IMAGE ANALYSIS; MAPPING; PLANTS; REMOTE SENSING;

ALASKA; ARIZONA; COLORADO; IDAHO; OREGON; UNITED STATES;

SCOLYTINAE;

EID: 85027933027     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2014.2346955     Document Type: Article

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