Estimating forest biomass dynamics by integrating multi-temporal Landsat satellite images with ground and airborne LiDAR data in the Coal Valley Mine, Alberta, Canada

Remote Sensing

Volumn 7, Issue 3, 2015, Pages 2832-2849

  Badreldin, Nasem ^a   Sanchez Azofeifa, Arturo ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

Author keywords

Biomass; Land cover change; Landsat; LiDAR; Spectral vegetation indices

Indexed keywords

BIOMASS; CLIMATE CHANGE; COAL MINES; DATA INTEGRATION; DYNAMICS; FORESTRY; MEAN SQUARE ERROR; OPTICAL RADAR; SATELLITE IMAGERY; SATELLITES;

ENHANCED VEGETATION INDEX; LAND-COVER CHANGE; LANDSAT; LANDSAT SATELLITE IMAGES; NORMALIZED DIFFERENCE VEGETATION INDEX; ROOT MEAN SQUARE ERRORS; SPECTRAL VEGETATION INDICES; TASSELED CAP TRANSFORMATION;

VEGETATION;

EID: 84926375539     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs70302832     Document Type: Article

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