Remote sensing of canopy light use efficiency in temperate and boreal forests of North America using MODIS imagery

Remote Sensing of Environment

Volumn 118, Issue , 2012, Pages 60-72

  Wu, Chaoyang ^a,b   Chen, Jing M ^a   Desai, Ankur R ^c   Hollinger, David Y ^d   Arain, M Altaf ^e   Margolis, Hank A ^f   Gough, Christopher M ^g   Staebler, Ralf M ^h  

^a UNIVERSITY OF TORONTO   (Canada)

^b INSTITUTE OF REMOTE SENSING APPLICATIONS   (China)

^c UNIVERSITY OF WISCONSIN MADISON   (United States)

^d USDA FOREST SERVICE   (United States)

^e MCMASTER UNIVERSITY   (Canada)

^f UNIVERSITÉ LAVAL   (Canada)

^g OHIO STATE UNIVERSITY   (United States)

^h ENVIRONMENT CANADA   (Canada)

Author keywords

Carbon cycle; Climate change; Eddy covariance; Forests; Light use efficiency; Remote sensing

Indexed keywords

BOREAL FOREST ECOSYSTEMS; BOREAL FORESTS; CALIBRATED MODEL; CANOPY LEVEL; CARBON CYCLES; DATA SETS; EDDY COVARIANCE; ENHANCED VEGETATION INDEX; EVERGREEN SPECIES; FOREST ECOSYSTEM; FOREST SITES; FORESTS; FURTHER DEVELOPMENT; GLOBAL CARBON CYCLE; GLOBAL SCALE; GROSS PRIMARY PRODUCTION; LAND SURFACE TEMPERATURE; LIGHT USE EFFICIENCY; METEOROLOGICAL INPUT; MODEL CALIBRATION; MODEL-BASED OPC; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; MODIS IMAGERY; PARAMETERIZED; PHOTOSYNTHATES; PHOTOSYNTHETICALLY ACTIVE RADIATION; REGRESSION COEFFICIENT; ROOT MEAN SQUARE ERRORS;

ALGORITHMS; ATMOSPHERIC TEMPERATURE; ATMOSPHERICS; CARBOHYDRATES; CLIMATE CHANGE; ECOSYSTEMS; EFFICIENCY; ESTIMATION; MEAN SQUARE ERROR; RADIOMETERS; REMOTE SENSING; SATELLITE IMAGERY; SUN; SURFACE MEASUREMENT; SURFACE PROPERTIES;

FORESTRY;

ALGORITHM; BOREAL FOREST; CARBON CYCLE; ECOHYDROLOGY; EDDY COVARIANCE; FOREST CANOPY; FOREST ECOSYSTEM; GLOBAL CHANGE; LIGHT USE EFFICIENCY; MODIS; NET PRIMARY PRODUCTION; PHOTOSYNTHESIS; SATELLITE IMAGERY; SOLAR RADIATION; TEMPERATE FOREST;

ECOSYSTEMS; FOREST CANOPY; IMAGE ANALYSIS; NORTH AMERICA; PHOTOSYNTHESIS; RADIOMETRY; REGRESSION ANALYSIS; REMOTE SENSING; SUN LIGHT; SURFACE PROPERTIES;

NORTH AMERICA;

AVES;

EID: 83455195737     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2011.11.012     Document Type: Article

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