Prediction of macronutrients at the canopy level using spaceborne imaging spectroscopy and LiDAR data in a mixedwood boreal forest

Remote Sensing

Volumn 7, Issue 7, 2015, Pages 9045-9069

  Gökkaya, Kemal ^a   Thomas, Valerie ^a   Noland, Thomas L ^b   McCaughey, Harry ^c   Morrison, Ian ^d   Treitz, Paul ^c  

^a VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

^b ONTARIO FOREST RESEARCH INSTITUTE   (Canada)

^c QUEEN S UNIVERSITY   (Canada)

^d LAURENTIAN FORESTRY CENTRE   (Canada)

Author keywords

Functional types; Hyperion; Imaging spectroscopy; LiDAR; Macronutrients; Mixedwood boreal forest; Partial least squares regression; Species composition

Indexed keywords

CALCIUM; CARBON; ECOLOGY; ECOSYSTEMS; FORECASTING; FORESTRY; LEAST SQUARES APPROXIMATIONS; PLANT SHUTDOWNS; PLANTS (BOTANY); REMOTE SENSING; SATELLITE IMAGERY; VEGETATION;

BOREAL FORESTS; FUNCTIONAL TYPES; HYPERION; IMAGING SPECTROSCOPY; MACRONUTRIENTS; PARTIAL LEAST SQUARES REGRESSION; SPECIES COMPOSITION;

OPTICAL RADAR;

FOREST CANOPY; FORESTS; IMAGE ANALYSIS;

EID: 84937887780     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs70709045     Document Type: Article

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