Characterizing spatial representativeness of flux tower eddy-covariance measurements across the Canadian Carbon Program Network using remote sensing and footprint analysis

Remote Sensing of Environment

Volumn 124, Issue , 2012, Pages 742-755

  Chen, Baozhang ^a,b   Coops, Nicholas C ^b   Fu, Dongjie ^a   Margolis, Hank A ^c   Amiro, Brian D ^d   Black, T Andrew ^b   Arain, M Altaf ^e   Barr, Alan G ^f   Bourque, Charles P A ^g   Flanagan, Lawrence B ^h   Lafleur, Peter M ⁱ   McCaughey, J Harry ^j   Wofsy, Steven C ^k  

^a INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^c UNIVERSITÉ LAVAL   (Canada)

^d UNIVERSITY OF MANITOBA   (Canada)

^e MCMASTER UNIVERSITY   (Canada)

^f ENVIRONMENT CANADA   (Canada)

^g UNIVERSITY OF NEW BRUNSWICK   (Canada)

^h UNIVERSITY OF LETHBRIDGE   (Canada)

ⁱ TRENT UNIVERSITY   (Canada)

^j QUEEN S UNIVERSITY   (Canada)

^k HARVARD UNIVERSITY   (United States)

more..

Author keywords

Eddy covariance; Fluxnet; Footprint climatology; Remote sensing; Spatial representativeness

Indexed keywords

BOREAL FORESTS; DISTRIBUTED PATTERNS; EDDY-COVARIANCE; FLUX FOOTPRINT; FLUX TOWERS; FLUXNET; FOOTPRINT ANALYSIS; FOOTPRINT MODELING; FOREST SITES; FREQUENCY DISTRIBUTIONS; FUNCTIONAL TYPES; GEOSTATISTICAL ANALYSIS; IMAGE DATA; LAND COVER; LAND SURFACE; MODELING ANALYSIS; NORMALIZED DIFFERENCE VEGETATION INDEX; SEMIVARIOGRAMS; SPATIAL REPRESENTATIVENESS; SPATIAL RESOLUTION; SPATIAL STRUCTURE; SPATIAL VARIABILITY; SPATIAL VARIATIONS; TEMPERATE FORESTS; VARIOGRAMS; VEGETATION INDEX; WINDOW SIZE;

CARBON; CLIMATOLOGY; REMOTE SENSING; TOWERS; VEGETATION; WETLANDS;

FORESTRY;

BOREAL FOREST; CLIMATOLOGY; CONIFEROUS FOREST; EDDY COVARIANCE; FLUX MEASUREMENT; FUNCTIONAL GROUP; GEOSTATISTICS; GRASSLAND; HETEROGENEITY; LAND COVER; NDVI; REMOTE SENSING; SPATIAL RESOLUTION; SPATIAL VARIATION; TEMPERATE FOREST; WETLAND;

CARBON; FORESTRY; METEOROLOGY; PLANTS; REMOTE SENSING; TOWERS; WETLANDS;

EID: 84864056160     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2012.06.007     Document Type: Article

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