Imaging spectroscopy algorithms for mapping canopy foliar chemical and morphological traits and their uncertainties

Ecological Applications

Volumn 25, Issue 8, 2015, Pages 2180-2197

  Singh, Aditya ^a   Serbin, Shawn P ^a,c   McNeil, Brenden E ^b   Kingdon, Clayton C ^a   Townsend, Philip A ^a  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

^b WEST VIRGINIA UNIVERSITY   (United States)

^c BROOKHAVEN NATIONAL LABORATORY   (United States)

Author keywords

Airborne Visible Infrared Imaging Spectrometer; AVIRIS; Carbon cycling; Deciduous and coniferous forests; Foliar traits; Imaging spectroscopy; Leaf chemistry; Leaf morphology; Nutrient cycling; PLS regression; Spatial mapping; Uncertainty

Indexed keywords

ALGORITHM; AVIRIS; BIOCHEMICAL COMPOSITION; BOREAL FOREST; CANOPY ARCHITECTURE; CARBON CYCLE; CONIFEROUS FOREST; DATA ACQUISITION; DECIDUOUS FOREST; ECOSYSTEM FUNCTION; LEAF MORPHOLOGY; NUTRIENT CYCLING; PIXEL; REGRESSION ANALYSIS; SPATIAL VARIATION; SPATIOTEMPORAL ANALYSIS; UNCERTAINTY ANALYSIS; VEGETATION MAPPING;

ALGORITHM; CHEMISTRY; ENVIRONMENTAL MONITORING; FOREST; LIGHT RELATED PHENOMENA; PHYSIOLOGY; PLANT LEAF; PROCEDURES; REMOTE SENSING; SPECTROSCOPY; TREE; UNITED STATES;

ALGORITHMS; ENVIRONMENTAL MONITORING; FORESTS; OPTICAL PROCESSES; PLANT LEAVES; REMOTE SENSING TECHNOLOGY; SPECTRUM ANALYSIS; TREES; UNITED STATES;

EID: 84938951423     PISSN: None     EISSN: 19395582     Source Type: Journal    
DOI: 10.1890/14-2098.1     Document Type: Article

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