Paper Info
Title
Assessing interannual variation in MODIS-based estimates of gross primary production
Abstract
Global estimates of terrestrial gross primary production (GPP) are now operationally produced from Moderate Resolution Imaging Spectrometer (MODIS) imagery at the 1-km spatial resolution and eight-day temporal resolution. In this study, MODIS GPP products were compared with ground-based GPP estimates over multiple years at three sites-a boreal conifer forest, a temperate deciduous forest, and a desert grassland. The ground-based estimates relied on measurements at eddy covariance flux towers, fine resolution remote sensing, and modeling. The MODIS GPP showed seasonal variation that was generally consistent with the in situ observations. The sign and magnitude of year-to-year variation in the MODIS products agreed with that of the ground observations at two of the three sites. Examination of the inputs to the MODIS GPP algorithm-notably the fraction of photosynthetically active radiation (FPAR) that is absorbed by the canopy), minimum temperature scalar, and vapor pressure deficit scalar-provided explanations for cases of disagreement between the MODIS and ground-based GPP estimates. Continued evaluation of interannual variation in MODIS products and related climate variables will aid in assessing potential biospheric feedbacks to climate change
Year
DOI
Venue
2006
10.1109/TGRS.2006.876027
Geoscience and Remote Sensing, IEEE Transactions
Keywords
Field
DocType
atmospheric humidity,atmospheric radiation,atmospheric temperature,forestry,geophysical signal processing,vegetation mapping,FPAR,MODIS,Moderate Resolution Imaging Spectrometer,boreal conifer forest,canopy,climate change,desert grassland,eddy covariance flux towers,fraction of photosynthetically active radiation,global ecology,interannual variation,minimum temperature scalar,remote sensing,temperate deciduous forest,terrestrial gross primary production,vapor pressure deficit scalar,Fraction of photosynthetically active radiation (FPAR),Moderate Resolution Imaging Spectrometer (MODIS),global ecology,gross primary production (GPP),interannual variation,modeling,remote sensing
Primary production,Temperate deciduous forest,Climate change,Remote sensing,Atmospheric temperature,Seasonality,Photosynthetically active radiation,Eddy covariance,Temporal resolution,Mathematics
Journal
Volume
Issue
ISSN
44
7
0196-2892
Citations 
PageRank 
References 
9
2.76
2
Authors
8
Name
Order
Citations
PageRank
David P. Turner18514.56
William David Ritts292.76
Maosheng Zhao3579.65
Shirley A. Kurc492.76
Allison L. Dunn5558.91
Steven C. Wofsy6558.91
Eric E. Small712918.61
Steven W. Running831373.01