A hyperspectral image can predict tropical tree growth rates in single-species stands

Ecological Applications

Volumn 26, Issue 8, 2016, Pages 2367-2373

  Caughlin, T Trevor ^a   Graves, Sarah J ^a   Asner, Gregory P ^b   Van Breugel, Michiel ^c,d   Hall, Jefferson S ^d   Martin, Roberta E ^b   Ashton, Mark S ^e   Bohlman, Stephanie A ^a,d  

^a UNIVERSITY OF FLORIDA   (United States)

^b GEOPHYSICAL LABORATORY   (United States)

^c YALE NUS COLLEGE   (Singapore)

^d SMITHSONIAN TROPICAL RESEARCH INSTITUTE   (Panama)

^e Yale University   (United States)

Author keywords

canopy biology; field planting trials; forest dynamics; hyperspectral; light detection and ranging; Panama; plantation; precision forestry; reforestation; remote sensing; tree demography; tropical forest

Indexed keywords

CANOPY REFLECTANCE; DEMOGRAPHY; DETECTION METHOD; FIELD METHOD; FOREST CANOPY; FOREST DYNAMICS; FOREST INVENTORY; GROWTH RATE; LIGHT AVAILABILITY; PLANTATION FORESTRY; PRECISION; REFORESTATION; REMOTE SENSING; SPECTRAL ANALYSIS; TROPICAL FOREST; WAVELENGTH;

PANAMA [CENTRAL AMERICA]; PANAMA [PANAMA (NTN)];

DEMOGRAPHY; FOREST; PLANT LEAF; TREE; TROPIC CLIMATE;

DEMOGRAPHY; FORESTS; PLANT LEAVES; TREES; TROPICAL CLIMATE;

EID: 85001085946     PISSN: None     EISSN: 19395582     Source Type: Journal    
DOI: 10.1002/eap.1436     Document Type: Article

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