d’Entremont RP, Hu BX, Liang SL, Privette JL, Roy D (2002) First operational BRDF, albedo
nadir reflectance products from MODIS. Remote Sens Environ 83(1–2):135–148
Schmidt M, Udelhoven T, Gill T, Roder A (2012) Long term data fusion for a dense time series
analysis with MODIS and Landsat imagery in an Australian Savanna. J Appl Remote Sens 6.
doi:10.1117/1.Jrs.6.063512
Schubert P, Eklundh L, Lund M, Nilsson M (2010) Estimating northern peatland CO2 exchange
from MODIS time series data. Remote Sens Environ 114(6):1178–1189
Schwartz MD, Hanes JM (2010) Continental-scale phenology: warming and chilling. Int J
Climatol 30(11):1595–1598
Sellers PJ (1985) Canopy reflectance, photosynthesis and transpiration. Int J Remote Sens
6(8):1335–1372
Sims DA, Rahman AF, Cordova VD, El-Masri BZ, Baldocchi DD, Flanagan LB, Goldstein AH,
Hollinger DY, Misson L, Monson RK, Oechel WC, Schmid HP, Wofsy SC, Xu LK (2006) On
the use of MODIS EVI to assess gross primary productivity of North American ecosystems.
J Geophys Res Biogeosci 111(G4)
Sims DA, Rahman AF, Cordova VD, El-Masri BZ, Baldocchi DD, Bolstad PV, Flanagan LB,
Goldstein AH, Hollinger DY, Misson L, Monson RK, Oechel WC, Schmid HP, Wofsy SC, Xu
L (2008) A new model of gross primary productivity for North American ecosystems based
solely on the enhanced vegetation index and land surface temperature from MODIS. Remote
Sens Environ 112(4):1633–1646
Smith AMS, Falkowski MJ, Hudak AT, Evans JS, Robinson AP, Steele CM (2009) A crosscomparison of field, spectral, and lidar estimates of forest canopy cover. Can J Remote Sens
35(5):447–459
Soudani K, Hmimina G, Delpierre N, Pontailler JY, Aubinet M, Bonal D, Caquet B, de
Grandcourt A, Burban B, Flechard C, Guyon D, Granier A, Gross P, Heinesh B, Longdoz B,
Loustau D, Moureaux C, Ourcival JM, Rambal S, Saint André L, Dufrêne E (2012) Groundbased network of NDVI measurements for tracking temporal dynamics of canopy structure
and vegetation phenology in different biomes. Remote Sens Environ 123(0):234–245.
doi:10.1016/j.rse.2012.03.012
Souza C, Firestone L, Silva LM, Roberts D (2003) Mapping forest degradation in the Eastern
Amazon from SPOT 4 through spectral mixture models. Remote Sens Environ 87(4):494–506
Trishchenko AP, Cihlar J, Li Z (2002) Effects of spectral response function on surface reflectance
and NDVI measured with moderate resolution satellite sensors. Remote Sens Environ
81(1):1–18
Tucker CJ (1979) Red and photographic infrared linear combinations for monitoring vegetation.
Remote Sens Environ 8(2):127–150
Tucker CJ, Grant DM, Dykstra JD (2004) NASA’s global orthorectified landsat data set.
Photogramm Eng Remote Sens 70(3):313–322
Tucker CJ, Pinzon JE, Brown ME, Slayback DA, Pak EW, Mahoney R, Vermote EF, El Saleous
N (2005) An extended AVHRR 8-km NDVI dataset compatible with MODIS and SPOT
vegetation NDVI data. Int J Remote Sens 26(20):4485–4498
Turner W, Spector S, Gardiner N, Fladeland M, Sterling E, Steininger M (2003) Remote sensing
for biodiversity science and conservation. Trends Ecol Evol 18(6):306–314
Ustin SL, Roberts DA, Gamon JA, Asner GP, Green RO (2004) Using imaging spectroscopy to
study ecosystem processes and properties. Bioscience 54(6):523–534
van Leeuwen WJD, Huete AR, Laing TW (1999) MODIS vegetation index compositing
approach: a prototype with AVHRR data. Remote Sens Environ 69(3):264–280
van Leeuwen WJD, Orr BJ, Marsh SE, Herrmann SM (2006) Multi-sensor NDVI data continuity:
uncertainties and implications for vegetation monitoring applications. Remote Sens Environ
100(1):67–81
Verstraete MM, Pinty B (1996) Designing optimal spectral indexes for remote sensing
applications. IEEE Trans Geosci Remote Sens 34(5):1254–1265
1 Indices of Vegetation Activity
39
nadir reflectance products from MODIS. Remote Sens Environ 83(1–2):135–148
Schmidt M, Udelhoven T, Gill T, Roder A (2012) Long term data fusion for a dense time series
analysis with MODIS and Landsat imagery in an Australian Savanna. J Appl Remote Sens 6.
doi:10.1117/1.Jrs.6.063512
Schubert P, Eklundh L, Lund M, Nilsson M (2010) Estimating northern peatland CO2 exchange
from MODIS time series data. Remote Sens Environ 114(6):1178–1189
Schwartz MD, Hanes JM (2010) Continental-scale phenology: warming and chilling. Int J
Climatol 30(11):1595–1598
Sellers PJ (1985) Canopy reflectance, photosynthesis and transpiration. Int J Remote Sens
6(8):1335–1372
Sims DA, Rahman AF, Cordova VD, El-Masri BZ, Baldocchi DD, Flanagan LB, Goldstein AH,
Hollinger DY, Misson L, Monson RK, Oechel WC, Schmid HP, Wofsy SC, Xu LK (2006) On
the use of MODIS EVI to assess gross primary productivity of North American ecosystems.
J Geophys Res Biogeosci 111(G4)
Sims DA, Rahman AF, Cordova VD, El-Masri BZ, Baldocchi DD, Bolstad PV, Flanagan LB,
Goldstein AH, Hollinger DY, Misson L, Monson RK, Oechel WC, Schmid HP, Wofsy SC, Xu
L (2008) A new model of gross primary productivity for North American ecosystems based
solely on the enhanced vegetation index and land surface temperature from MODIS. Remote
Sens Environ 112(4):1633–1646
Smith AMS, Falkowski MJ, Hudak AT, Evans JS, Robinson AP, Steele CM (2009) A crosscomparison of field, spectral, and lidar estimates of forest canopy cover. Can J Remote Sens
35(5):447–459
Soudani K, Hmimina G, Delpierre N, Pontailler JY, Aubinet M, Bonal D, Caquet B, de
Grandcourt A, Burban B, Flechard C, Guyon D, Granier A, Gross P, Heinesh B, Longdoz B,
Loustau D, Moureaux C, Ourcival JM, Rambal S, Saint André L, Dufrêne E (2012) Groundbased network of NDVI measurements for tracking temporal dynamics of canopy structure
and vegetation phenology in different biomes. Remote Sens Environ 123(0):234–245.
doi:10.1016/j.rse.2012.03.012
Souza C, Firestone L, Silva LM, Roberts D (2003) Mapping forest degradation in the Eastern
Amazon from SPOT 4 through spectral mixture models. Remote Sens Environ 87(4):494–506
Trishchenko AP, Cihlar J, Li Z (2002) Effects of spectral response function on surface reflectance
and NDVI measured with moderate resolution satellite sensors. Remote Sens Environ
81(1):1–18
Tucker CJ (1979) Red and photographic infrared linear combinations for monitoring vegetation.
Remote Sens Environ 8(2):127–150
Tucker CJ, Grant DM, Dykstra JD (2004) NASA’s global orthorectified landsat data set.
Photogramm Eng Remote Sens 70(3):313–322
Tucker CJ, Pinzon JE, Brown ME, Slayback DA, Pak EW, Mahoney R, Vermote EF, El Saleous
N (2005) An extended AVHRR 8-km NDVI dataset compatible with MODIS and SPOT
vegetation NDVI data. Int J Remote Sens 26(20):4485–4498
Turner W, Spector S, Gardiner N, Fladeland M, Sterling E, Steininger M (2003) Remote sensing
for biodiversity science and conservation. Trends Ecol Evol 18(6):306–314
Ustin SL, Roberts DA, Gamon JA, Asner GP, Green RO (2004) Using imaging spectroscopy to
study ecosystem processes and properties. Bioscience 54(6):523–534
van Leeuwen WJD, Huete AR, Laing TW (1999) MODIS vegetation index compositing
approach: a prototype with AVHRR data. Remote Sens Environ 69(3):264–280
van Leeuwen WJD, Orr BJ, Marsh SE, Herrmann SM (2006) Multi-sensor NDVI data continuity:
uncertainties and implications for vegetation monitoring applications. Remote Sens Environ
100(1):67–81
Verstraete MM, Pinty B (1996) Designing optimal spectral indexes for remote sensing
applications. IEEE Trans Geosci Remote Sens 34(5):1254–1265
1 Indices of Vegetation Activity
39