Vickers D, Thomas CK, Pettijohn C, Martin JG, Law BE (2012) Five years of carbon fluxes and
inherent water-use efficiency at two semi-arid pine forests with different disturbance histories.
Tellus B 64. doi:10.3402/Tellusb.V64i0.17159
Vuolo F, Dash J, Curran PJ, Lajas D, Kwiatkowska E (2012) Methodologies and uncertainties in
the use of the terrestrial chlorophyll index for the Sentinel-3 mission. Remote Sens Basel
4(5):1112–1133
Wang Q, Tenhunen J, Dinh NQ, Reichstein M, Vesala T, Keronen P (2004) Similarities in
ground- and satellite-based NDVI time series and their relationship to physiological activity
of a Scots pine forest in Finland. Remote Sens Environ 93(1–2):225–237
Wang Q, Adiku S, Tenhunen J, Granier A (2005) On the relationship of NDVI with leaf area
index in a deciduous forest site. Remote Sens Environ 94(2):244–255
Wang YJ, Lyapustin AI, Privette JL, Morisette JT, Holben B (2009) Atmospheric correction at
AERONET locations: a new science and validation data set. IEEE Trans Geosci Remote Sens
47(8):2450–2466
Waring RH, Whitehead D, Jarvis PG (1979) The contribution of stored water to transpiration in
Scots pine. Plant Cell Environ 2(4). doi:10.1111/j.1365-3040.1979.tb00085.x
Waring RH, Coops NC, Fan W, Nightingale JM (2006) MODIS enhanced vegetation index
predicts tree species richness across forested ecoregions in the contiguous USA. Remote Sens
Environ 103(2):218–226
Wilson TB, Meyers TP (2007) Determining vegetation indices from solar and photosynthetically
active radiation fluxes. Agric For Meteorol 144(3–4):160–179
Wolfe RE, Roy DP, Vermote E (1998) MODIS land data storage, gridding, and compositing
methodology: level 2 grid. IEEE Trans Geosci Remote Sens 36(4):1324–1338
Xiao XM, Braswell B, Zhang QY, Boles S, Frolking S, Moore B (2003) Sensitivity of vegetation
indices to atmospheric aerosols: continental-scale observations in Northern Asia. Remote
Sens Environ 84(3):385–392
Xiao XM, Zhang QY, Braswell B, Urbanski S, Boles S, Wofsy S, Berrien M, Ojima D (2004)
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, Saleska S, Hutyra L, De Camargo P, Wofsy S, Frolking S, Boles S, Keller
M, Moore B (2005) Satellite-based modeling of gross primary production in a seasonally
moist tropical evergreen forest. Remote Sens Environ 94(1):105–122
Xiao XM, Boles S, Frolking S, Li CS, Babu JY, Salas W, Moore B (2006) Mapping paddy rice
agriculture in South and Southeast Asia using multi-temporal MODIS images. Remote Sens
Environ 100(1):95–113
Xu LA, Samanta A, Costa MH, Ganguly S, Nemani RR, Myneni RB (2011) Widespread decline
in greenness of Amazonian vegetation due to the 2010 drought. Geophys Res Lett 38.
doi:10.1029/2011gl046824
Yamamoto H, Matsumura Y, Sawayama S (2005) Evaluation of supply potential of energy crops
in Japan considering cases of improvement of crop productivity. Biomass Bioenerg
29(5):355–359
Yang FH, White MA, Michaelis AR, Ichii K, Hashimoto H, Votava P, Zhu AX, Nemani RR
(2006) Prediction of continental-scale evapotranspiration by combining MODIS and
AmeriFlux data through support vector machine. IEEE Trans Geosci Remote Sens
44(11):3452–3461
Yang X, Mustard JF, Tang J, Xu H (2012) Regional-scale phenology modeling based on
meteorological records and remote sensing observations. J Geophys Res 117(G3):1–18.
doi:10.1029/2012JG001977
Yoshioka H, Miura T, Obata K (2012) Derivation of relationships between spectral vegetation
indices from multiple sensors based on vegetation isolines. Remote Sens 4(3):583–597.
doi:10.3390/rs4030583
Yoshioka H, Huete AR, Miura T (2000) Derivation of vegetation isoline equations in red-NIR
reflectance space. IEEE Trans Geosci Remote Sens 38(2):838–848
40
A. Huete et al.
inherent water-use efficiency at two semi-arid pine forests with different disturbance histories.
Tellus B 64. doi:10.3402/Tellusb.V64i0.17159
Vuolo F, Dash J, Curran PJ, Lajas D, Kwiatkowska E (2012) Methodologies and uncertainties in
the use of the terrestrial chlorophyll index for the Sentinel-3 mission. Remote Sens Basel
4(5):1112–1133
Wang Q, Tenhunen J, Dinh NQ, Reichstein M, Vesala T, Keronen P (2004) Similarities in
ground- and satellite-based NDVI time series and their relationship to physiological activity
of a Scots pine forest in Finland. Remote Sens Environ 93(1–2):225–237
Wang Q, Adiku S, Tenhunen J, Granier A (2005) On the relationship of NDVI with leaf area
index in a deciduous forest site. Remote Sens Environ 94(2):244–255
Wang YJ, Lyapustin AI, Privette JL, Morisette JT, Holben B (2009) Atmospheric correction at
AERONET locations: a new science and validation data set. IEEE Trans Geosci Remote Sens
47(8):2450–2466
Waring RH, Whitehead D, Jarvis PG (1979) The contribution of stored water to transpiration in
Scots pine. Plant Cell Environ 2(4). doi:10.1111/j.1365-3040.1979.tb00085.x
Waring RH, Coops NC, Fan W, Nightingale JM (2006) MODIS enhanced vegetation index
predicts tree species richness across forested ecoregions in the contiguous USA. Remote Sens
Environ 103(2):218–226
Wilson TB, Meyers TP (2007) Determining vegetation indices from solar and photosynthetically
active radiation fluxes. Agric For Meteorol 144(3–4):160–179
Wolfe RE, Roy DP, Vermote E (1998) MODIS land data storage, gridding, and compositing
methodology: level 2 grid. IEEE Trans Geosci Remote Sens 36(4):1324–1338
Xiao XM, Braswell B, Zhang QY, Boles S, Frolking S, Moore B (2003) Sensitivity of vegetation
indices to atmospheric aerosols: continental-scale observations in Northern Asia. Remote
Sens Environ 84(3):385–392
Xiao XM, Zhang QY, Braswell B, Urbanski S, Boles S, Wofsy S, Berrien M, Ojima D (2004)
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, Saleska S, Hutyra L, De Camargo P, Wofsy S, Frolking S, Boles S, Keller
M, Moore B (2005) Satellite-based modeling of gross primary production in a seasonally
moist tropical evergreen forest. Remote Sens Environ 94(1):105–122
Xiao XM, Boles S, Frolking S, Li CS, Babu JY, Salas W, Moore B (2006) Mapping paddy rice
agriculture in South and Southeast Asia using multi-temporal MODIS images. Remote Sens
Environ 100(1):95–113
Xu LA, Samanta A, Costa MH, Ganguly S, Nemani RR, Myneni RB (2011) Widespread decline
in greenness of Amazonian vegetation due to the 2010 drought. Geophys Res Lett 38.
doi:10.1029/2011gl046824
Yamamoto H, Matsumura Y, Sawayama S (2005) Evaluation of supply potential of energy crops
in Japan considering cases of improvement of crop productivity. Biomass Bioenerg
29(5):355–359
Yang FH, White MA, Michaelis AR, Ichii K, Hashimoto H, Votava P, Zhu AX, Nemani RR
(2006) Prediction of continental-scale evapotranspiration by combining MODIS and
AmeriFlux data through support vector machine. IEEE Trans Geosci Remote Sens
44(11):3452–3461
Yang X, Mustard JF, Tang J, Xu H (2012) Regional-scale phenology modeling based on
meteorological records and remote sensing observations. J Geophys Res 117(G3):1–18.
doi:10.1029/2012JG001977
Yoshioka H, Miura T, Obata K (2012) Derivation of relationships between spectral vegetation
indices from multiple sensors based on vegetation isolines. Remote Sens 4(3):583–597.
doi:10.3390/rs4030583
Yoshioka H, Huete AR, Miura T (2000) Derivation of vegetation isoline equations in red-NIR
reflectance space. IEEE Trans Geosci Remote Sens 38(2):838–848
40
A. Huete et al.