Verbeeck H, Samson R, Granier A, Montpied P, Lemeur R (2008) Multi-year model analysis of
GPP in a temperate beech forest in France. Ecol Model 210(1–2):85–103
Verma SB et al (2005) Annual carbon dioxide exchange in irrigated and rainfed maize-based
agroecosystems. Agric For Meteorol 131(1–2):77–96
Veroustraete F, Sabbe H, Eerens H (2002) Estimation of carbon mass fluxes over Europe using
the C-Fix model and Euroflux data. Remote Sens Environ 83(3):376–399
Veroustraete F, Sabbe H, Rasse DP, Bertels L (2004) Carbon mass fluxes of forests in Belgium
determined with low resolution optical sensors. Int J Remote Sens 25(4):769–792
Wang Z, Xiao XM, Yan XD (2010) Modeling gross primary production of maize cropland and
degraded grassland in northeastern China. Agr For Meteorol 150(9):1160–1167
Wofsy SC et al (1993) Net exchange of CO 2 in a mid-latitude forest. Science 260(5112):1314–1317
Woodward FI, Smith TM, Emanuel WR (1995) A global land primary productivity and
phytogeography model. Glob Biogeochem Cycles 9(4):471–490
Wu CY, Niu Z, Gao S (2012) The potential of the satellite derived green chlorophyll index for
estimating midday light use efficiency in maize, coniferous forest and grassland. Ecol Indic
14(1):66–73
Wu CY et al (2009) Remote estimation of gross primary production in wheat using chlorophyllrelated vegetation indices. Agr For Meteorol 149(6–7):1015–1021
Wu CY, Niu Z, Tang QA, Huang WJ (2010) Revised photochemical reflectance index (PRI) for
predicting light use efficiency of wheat in a growth cycle: validation and comparison. Int J
Remote Sens 31(11):2911–2924
Wu WX et al (2008) Modeling gross primary production of a temperate grassland ecosystem in
inner Mongolia, China, using MODIS imagery and climate data. Sci China Series D Earth Sci
51(10):1501–1512
Xiao X et al (2004a) Satellite-based modeling of gross primary production in an evergreen needle
leaf forest. Remote Sens Environ 89(4):519–534
Xiao X et al (2004b) Modeling gross primary production of a deciduous broadleaf forest using
satellite images and climate data. Remote Sens Environ 91(2):256–270
Xiao XM, Yan HM, Kalfas JL, Zhang QY (2011) Satellite-based modeling of Gross Primary
Production of terrestrial ecosystems. In: Wang QH (ed) advances in environmental remote
sensing: sensors, algorithms, and application. Taylor & Francis Group, Boca Raton, pp 367–397
Xiao XM et al (2004c) Modeling gross primary production of temperate deciduous broadleaf
forest using satellite images and climate data. Remote Sens Environ 91(2):256–270
Xiao XM, Zhang QY, Hollinger D, Aber J, Moore B (2005a) Modeling gross primary production
of an evergreen needleleaf forest using modis and climate data. Ecol Appl 15(3):954–969
Xiao XM et al (2005b) Satellite-based modeling of gross primary production in a seasonally
moist tropical evergreen forest. Remote Sens Environ 94(1):105–122
Yan HM et al (2009) Modeling gross primary productivity for winter wheat-maize double
cropping system using MODIS time series and CO 2 eddy flux tower data. Agric Ecosyst
Environ 129(4):391–400
Yuan WP et al (2007) Deriving a light use efficiency model from eddy covariance flux data for
predicting daily gross primary production across biomes. Agr For Meteorol 143(3–4):189–207
Yuan WP et al (2010) Global estimates of evapotranspiration and gross primary production based
on MODIS and global meteorology data. Remote Sens Environ 114(7):1416–1431
Zhang QY et al (2009) Can a satellite-derived estimate of the fraction of PAR absorbed by
chlorophyll (FAPAR(chl)) improve predictions of light-use efficiency and ecosystem
photosynthesis for a boreal aspen forest? Remote Sens Environ 113(4):880–888
Zhang QY et al (2005) Estimating light absorption by chlorophyll, leaf and canopy in a deciduous
broadleaf forest using MODIS data and a radiative transfer model. Remote Sens Environ
99(3):357–371
Zhang QY et al (2006) Characterization of seasonal variation of forest canopy in a temperate
deciduous broadleaf forest, using daily MODIS data. Remote Sens Environ 105(3):189–203
Zhao MS, Heinsch FA, Nemani RR, Running SW (2005) Improvements of the MODIS terrestrial
gross and net primary production global data set. Remote Sens Environ 95(2):164–176
148
X. Xiao et al.
GPP in a temperate beech forest in France. Ecol Model 210(1–2):85–103
Verma SB et al (2005) Annual carbon dioxide exchange in irrigated and rainfed maize-based
agroecosystems. Agric For Meteorol 131(1–2):77–96
Veroustraete F, Sabbe H, Eerens H (2002) Estimation of carbon mass fluxes over Europe using
the C-Fix model and Euroflux data. Remote Sens Environ 83(3):376–399
Veroustraete F, Sabbe H, Rasse DP, Bertels L (2004) Carbon mass fluxes of forests in Belgium
determined with low resolution optical sensors. Int J Remote Sens 25(4):769–792
Wang Z, Xiao XM, Yan XD (2010) Modeling gross primary production of maize cropland and
degraded grassland in northeastern China. Agr For Meteorol 150(9):1160–1167
Wofsy SC et al (1993) Net exchange of CO 2 in a mid-latitude forest. Science 260(5112):1314–1317
Woodward FI, Smith TM, Emanuel WR (1995) A global land primary productivity and
phytogeography model. Glob Biogeochem Cycles 9(4):471–490
Wu CY, Niu Z, Gao S (2012) The potential of the satellite derived green chlorophyll index for
estimating midday light use efficiency in maize, coniferous forest and grassland. Ecol Indic
14(1):66–73
Wu CY et al (2009) Remote estimation of gross primary production in wheat using chlorophyllrelated vegetation indices. Agr For Meteorol 149(6–7):1015–1021
Wu CY, Niu Z, Tang QA, Huang WJ (2010) Revised photochemical reflectance index (PRI) for
predicting light use efficiency of wheat in a growth cycle: validation and comparison. Int J
Remote Sens 31(11):2911–2924
Wu WX et al (2008) Modeling gross primary production of a temperate grassland ecosystem in
inner Mongolia, China, using MODIS imagery and climate data. Sci China Series D Earth Sci
51(10):1501–1512
Xiao X et al (2004a) Satellite-based modeling of gross primary production in an evergreen needle
leaf forest. Remote Sens Environ 89(4):519–534
Xiao X et al (2004b) Modeling gross primary production of a deciduous broadleaf forest using
satellite images and climate data. Remote Sens Environ 91(2):256–270
Xiao XM, Yan HM, Kalfas JL, Zhang QY (2011) Satellite-based modeling of Gross Primary
Production of terrestrial ecosystems. In: Wang QH (ed) advances in environmental remote
sensing: sensors, algorithms, and application. Taylor & Francis Group, Boca Raton, pp 367–397
Xiao XM et al (2004c) Modeling gross primary production of temperate deciduous broadleaf
forest using satellite images and climate data. Remote Sens Environ 91(2):256–270
Xiao XM, Zhang QY, Hollinger D, Aber J, Moore B (2005a) Modeling gross primary production
of an evergreen needleleaf forest using modis and climate data. Ecol Appl 15(3):954–969
Xiao XM et al (2005b) Satellite-based modeling of gross primary production in a seasonally
moist tropical evergreen forest. Remote Sens Environ 94(1):105–122
Yan HM et al (2009) Modeling gross primary productivity for winter wheat-maize double
cropping system using MODIS time series and CO 2 eddy flux tower data. Agric Ecosyst
Environ 129(4):391–400
Yuan WP et al (2007) Deriving a light use efficiency model from eddy covariance flux data for
predicting daily gross primary production across biomes. Agr For Meteorol 143(3–4):189–207
Yuan WP et al (2010) Global estimates of evapotranspiration and gross primary production based
on MODIS and global meteorology data. Remote Sens Environ 114(7):1416–1431
Zhang QY et al (2009) Can a satellite-derived estimate of the fraction of PAR absorbed by
chlorophyll (FAPAR(chl)) improve predictions of light-use efficiency and ecosystem
photosynthesis for a boreal aspen forest? Remote Sens Environ 113(4):880–888
Zhang QY et al (2005) Estimating light absorption by chlorophyll, leaf and canopy in a deciduous
broadleaf forest using MODIS data and a radiative transfer model. Remote Sens Environ
99(3):357–371
Zhang QY et al (2006) Characterization of seasonal variation of forest canopy in a temperate
deciduous broadleaf forest, using daily MODIS data. Remote Sens Environ 105(3):189–203
Zhao MS, Heinsch FA, Nemani RR, Running SW (2005) Improvements of the MODIS terrestrial
gross and net primary production global data set. Remote Sens Environ 95(2):164–176
148
X. Xiao et al.