de Beurs KM, Henebry GM (2004) Land surface phenology, climatic variation, and institutional
change: analyzing agricultural land cover change in Kazakhstan. Remote Sens Environ
89:497–509. doi:10.1016/j.rse.2003.11.006
DeFries R, Hansen M, Townshend J (1995) Global discrimination of land cover types from
metrics derived from AVHRR pathfinder data. Remote Sens Environ 54:209–222
Delbart N, Kergoat L, Le Toan T, Lhermitte J, Picard G (2005) Determination of phenological
dates in boreal regions using normalized difference water index. Remote Sens Environ
97:26–38. doi:10.1016/j.rse.2005.03.011
Eidenshink JC (1992) The 1990 conterminous United States AVHRR data set. Photogram Eng
Rem S 58:809–813
Elmore AJ, Guinn SM, Minsley BJ, Richardson AD (2012) Landscape controls on the timing of
spring, autumn, and growing season length in mid-Atlantic forests. Glob Change Biol
18:656–674. doi:10.1111/j.1365-2486.2011.02521.x
Evangelista PH, Stohlgren TJ, Morisette JT, Kumar S (2009) Mapping invasive tamarisk
(Tamarix): a comparison of single-scene and time-series analyses of remotely sensed data.
Remote Sens 1:519–533. doi:10.3390/rs1030519
Filella I, Peñuelas J (1994) The red edge position and shape as indicators of plant chlorophyll
content, biomass and hydric status. Int J Remote Sens 15:1459–1470
Fischer A (1994) A model for the seasonal variations of vegetation indices in coarse resolution
data and its inversion to extract crop parameters. Remote Sens Environ 48:220–230
Fisher JI, Mustard JF (2007) Cross-scalar satellite phenology from ground, landsat, and MODIS
data. Remote Sens Environ 109:261–273. doi:10.1016/j.rse.2007.01.004
Fisher JI, Mustard JF, Vadeboncoeur MA (2006) Green leaf phenology at landsat resolution:
scaling from the field to the satellite. Remote Sens Environ 100:265–279. doi:10.1016/j.rse.
2005.10.022
Fitzjarrald D, Acevedo OC, Moore KE (2001) Climatic consequences of leaf presence in the
Eastern United States. J Clim 14:598–614. doi:10.1175/1520-0442(2001)014\0598:CCO
LPI[2.0.CO;2
Gamon JA, Field CB, Goulden ML, Griffin KL, Hartley AE, Joel G, Peñuelas J, Valentini R
(1995) Relationships between NDVI, canopy structure, and photosynthesis in three
Californian vegetation types. Ecol Appl 5:28–41
Ganguly S, Friedl MA, Tan B, Zhang X, Verma M (2010) Land surface phenology from MODIS:
characterization of the collection 5 global land cover dynamics product. Remote Sens Environ
114:1805–1816. doi:10.1016/j.rse.2010.04.005
Gao B (1996) NDWI—a normalized difference water index for remote sensing of vegetation
liquid water from space. Remote Sens Environ 58:257–266
Gao F, Morisette JT, Wolfe RE, Ederer G, Pedelty J, Masuoka E, Myneni R, Tan B, Nightingale J
(2008) An algorithm to produce temporally and spatially continuous MODIS-LAI time series.
IEEE Geosci Remote S 5:60–64. doi:10.1109/LGRS.2007.907971
Gonsamo A, Chen JM, Price DT, Kurz WA, Wu C (2012) Land surface phenology from optical
satellite measurement and CO 2 eddy covariance technique. J Geophys Res 117:G03032.
doi:10.1029/2012JG002070
Goward SN, Tucker CJ & Dye DG (1985) North American vegetation patterns observed with the
NOAA-7 advanced very high resolution radiometer. Vegetatio (The Hague), 64:3–14
Graham EA, Riordan EC, Yuen EM, Estrin D, Rundel PW (2010) Public Internet-connected
cameras used as a cross-continental ground-based plant phenology monitoring system. Glob
Change Biol 16:3014–3023. doi:10.1111/j.1365-2486.2010.02164.x
Gray TI & McCrary DG (1981) The environmental vegetative index: the tool potentially useful
for arid land management. Proceedings of the Fifth Conference on Biometeorology. Anaheim,
California. p. 205
Guisan A, Thuiller W (2005) Predicting species distribution: offering more than simple habitat
models. Ecol Lett 8:993–1009. doi:10.1111/j.1461-0248.2005.00792.x
Hanes JM (2012) Spring leaf phenology and the diurnal temperature range in a temperate maple
forest. Int J Biometeorol. doi:10.1007/s00484-012-0603-1
120
J. M. Hanes et al.
change: analyzing agricultural land cover change in Kazakhstan. Remote Sens Environ
89:497–509. doi:10.1016/j.rse.2003.11.006
DeFries R, Hansen M, Townshend J (1995) Global discrimination of land cover types from
metrics derived from AVHRR pathfinder data. Remote Sens Environ 54:209–222
Delbart N, Kergoat L, Le Toan T, Lhermitte J, Picard G (2005) Determination of phenological
dates in boreal regions using normalized difference water index. Remote Sens Environ
97:26–38. doi:10.1016/j.rse.2005.03.011
Eidenshink JC (1992) The 1990 conterminous United States AVHRR data set. Photogram Eng
Rem S 58:809–813
Elmore AJ, Guinn SM, Minsley BJ, Richardson AD (2012) Landscape controls on the timing of
spring, autumn, and growing season length in mid-Atlantic forests. Glob Change Biol
18:656–674. doi:10.1111/j.1365-2486.2011.02521.x
Evangelista PH, Stohlgren TJ, Morisette JT, Kumar S (2009) Mapping invasive tamarisk
(Tamarix): a comparison of single-scene and time-series analyses of remotely sensed data.
Remote Sens 1:519–533. doi:10.3390/rs1030519
Filella I, Peñuelas J (1994) The red edge position and shape as indicators of plant chlorophyll
content, biomass and hydric status. Int J Remote Sens 15:1459–1470
Fischer A (1994) A model for the seasonal variations of vegetation indices in coarse resolution
data and its inversion to extract crop parameters. Remote Sens Environ 48:220–230
Fisher JI, Mustard JF (2007) Cross-scalar satellite phenology from ground, landsat, and MODIS
data. Remote Sens Environ 109:261–273. doi:10.1016/j.rse.2007.01.004
Fisher JI, Mustard JF, Vadeboncoeur MA (2006) Green leaf phenology at landsat resolution:
scaling from the field to the satellite. Remote Sens Environ 100:265–279. doi:10.1016/j.rse.
2005.10.022
Fitzjarrald D, Acevedo OC, Moore KE (2001) Climatic consequences of leaf presence in the
Eastern United States. J Clim 14:598–614. doi:10.1175/1520-0442(2001)014\0598:CCO
LPI[2.0.CO;2
Gamon JA, Field CB, Goulden ML, Griffin KL, Hartley AE, Joel G, Peñuelas J, Valentini R
(1995) Relationships between NDVI, canopy structure, and photosynthesis in three
Californian vegetation types. Ecol Appl 5:28–41
Ganguly S, Friedl MA, Tan B, Zhang X, Verma M (2010) Land surface phenology from MODIS:
characterization of the collection 5 global land cover dynamics product. Remote Sens Environ
114:1805–1816. doi:10.1016/j.rse.2010.04.005
Gao B (1996) NDWI—a normalized difference water index for remote sensing of vegetation
liquid water from space. Remote Sens Environ 58:257–266
Gao F, Morisette JT, Wolfe RE, Ederer G, Pedelty J, Masuoka E, Myneni R, Tan B, Nightingale J
(2008) An algorithm to produce temporally and spatially continuous MODIS-LAI time series.
IEEE Geosci Remote S 5:60–64. doi:10.1109/LGRS.2007.907971
Gonsamo A, Chen JM, Price DT, Kurz WA, Wu C (2012) Land surface phenology from optical
satellite measurement and CO 2 eddy covariance technique. J Geophys Res 117:G03032.
doi:10.1029/2012JG002070
Goward SN, Tucker CJ & Dye DG (1985) North American vegetation patterns observed with the
NOAA-7 advanced very high resolution radiometer. Vegetatio (The Hague), 64:3–14
Graham EA, Riordan EC, Yuen EM, Estrin D, Rundel PW (2010) Public Internet-connected
cameras used as a cross-continental ground-based plant phenology monitoring system. Glob
Change Biol 16:3014–3023. doi:10.1111/j.1365-2486.2010.02164.x
Gray TI & McCrary DG (1981) The environmental vegetative index: the tool potentially useful
for arid land management. Proceedings of the Fifth Conference on Biometeorology. Anaheim,
California. p. 205
Guisan A, Thuiller W (2005) Predicting species distribution: offering more than simple habitat
models. Ecol Lett 8:993–1009. doi:10.1111/j.1461-0248.2005.00792.x
Hanes JM (2012) Spring leaf phenology and the diurnal temperature range in a temperate maple
forest. Int J Biometeorol. doi:10.1007/s00484-012-0603-1
120
J. M. Hanes et al.