Hanes JM, Schwartz MD (2011) Modeling land surface phenology in a mixed temperate forest
using MODIS measurements of leaf area index and land surface temperature. Theor Appl
Climatol 105:37–50. doi:10.1007/s00704-010-0374-8
Hanes JM, Richardson AD, Klostermann S (2013) Mesic temperate deciduous forest phenology.
In: Schwartz MD (ed) Phenology: an integrative environmental science, 2nd edn. Springer,
New York
Hayden BP (1998) Ecosystem feedbacks on climate at the landscape scale. Philos Trans R Soc
Lond B 353:5–18. doi:10.1098/rstb 1998.0186
Henebry GM & Su H (1995) Observing spatial structure in the Flint Hills using AVHRR
maximum biweekly NDVI composites. Proceedings of 14th North American Prairie
Conference. Kansas State University Press, Manhattan, KS. pp. 143-151
Henebry GM & de Beurs KM (2013) Remote Sensing of Land Surface Phenology: A Prospectus.
In: Schwartz MD (ed) Phenology: an integrative environmental science, 2nd edn. Springer,
New York
Henricksen BL, Durkin JW (1986) Growing period and drought early warning in Africa using
satellite data. Int J Remote Sens 7:1583–1608. doi:10.1080/01431168608948955
Herfindal I, Solberg EJ, Sæther B-E, Høgda KA, Andersen R (2006) Environmental phenology
and geographical gradients in moose body mass. Oecologia 150:213–224. doi:10.1007/
s00442-006-0519-8
Holben BN (1986) Characteristics of maximum-value composite images from temporal AVHRR
data. Int J Remote Sens 7:1417–1434
Huemmrich KF, Black TA, Jarvis PG, McCaughey JH, Hall FG (1999) High temporal resolution
NDVI phenology from micrometeorological radiation sensors. J Geophys Res Atmos
104:27935–27944. doi:10.1029/1999JD900164
Huete AR (1988) A soil-adjusted vegetation index (SAVI). Remote Sens Environ 25:295–309.
doi:10.1016/0034-4257(88)90106-X
Huete AR, Liu HQ (1994) An error and sensitivity analysis of the atmospheric-and soil-correcting
variants of the NDVI for the MODIS-EOS. IEEE T Geosci Remote 32:897–905. doi:10.1109/
36.298018
Huete A, Justice C, van Leeuwen W (1999) MODIS vegetation index (MOD 13) algorithm
theoretical basis document. Version 3. http://modis.gsfc.nasa.gov/data/atbd/atbd_mod13.pdf.
Accessed 8 Aug 2012
Huete A, Didan K, Miura T, Rodriguez EP, Gao X, Ferreira LG (2002) Overview of the
radiometric and biophysical performance of the MODIS vegetation indices. Remote Sens
Environ 83:195–213. doi:10.1016/S0034-4257(02)00096-2
Hufkens K, Friedl M, Sonnentag O, Braswell BH, Milliman T, Richardson AD (2012) Linking
near-surface and satellite remote sensing measurements of deciduous broadleaf forest
phenology. Remote Sens Environ 117:307–321. doi:10.1016/j.rse.2011.10.006
Ivits E, Cherlet M, Tóth G, Sommer S, Mehl W, Vogt J, Micale F (2012) Combining satellite
derived phenology with climate data for climate change impact assessment. Global Planet
Change 88–89:85–97. doi:10.1016/j.gloplacha.2012.03.010
James ME & Kalluri SNV (1994) The Pathfinder AVHRR land data set: An improved coarse
resolution data set for terrestrial monitoring. Remote Sensing of Environment,
15(17):3347–3363. doi:10.1080/01431169408954335
Jönsson P, Eklundh L (2004) TIMESAT—a program for analyzing time-series of satellite sensor
data. Comput Geosci 30:833–845. doi:10.1016/j.cageo.2004.05.006
Ju JC, Roy DP, Shuai YM, Schaaf C (2010) Development of an approach for generation of
temporally complete daily nadir MODIS reflectance time series. Remote Sens of Environ
114:1–20. doi:10.1016/j.rse.2009.05.022
Justice CO, Holben BN, Gwynne MD (1986) Monitoring East African vegetation using AVHRR
data. Int J Remote Sens 7:1453–1474
Justice CO, Vermote E, Townshend JRG, Defries R, Roy DP, Hall DK, Salomonson VV, Privette
JL, Riggs G & Strahler A (1998) The Moderate resolution imaging spectroradiometer
4 Land Surface Phenology
121
using MODIS measurements of leaf area index and land surface temperature. Theor Appl
Climatol 105:37–50. doi:10.1007/s00704-010-0374-8
Hanes JM, Richardson AD, Klostermann S (2013) Mesic temperate deciduous forest phenology.
In: Schwartz MD (ed) Phenology: an integrative environmental science, 2nd edn. Springer,
New York
Hayden BP (1998) Ecosystem feedbacks on climate at the landscape scale. Philos Trans R Soc
Lond B 353:5–18. doi:10.1098/rstb 1998.0186
Henebry GM & Su H (1995) Observing spatial structure in the Flint Hills using AVHRR
maximum biweekly NDVI composites. Proceedings of 14th North American Prairie
Conference. Kansas State University Press, Manhattan, KS. pp. 143-151
Henebry GM & de Beurs KM (2013) Remote Sensing of Land Surface Phenology: A Prospectus.
In: Schwartz MD (ed) Phenology: an integrative environmental science, 2nd edn. Springer,
New York
Henricksen BL, Durkin JW (1986) Growing period and drought early warning in Africa using
satellite data. Int J Remote Sens 7:1583–1608. doi:10.1080/01431168608948955
Herfindal I, Solberg EJ, Sæther B-E, Høgda KA, Andersen R (2006) Environmental phenology
and geographical gradients in moose body mass. Oecologia 150:213–224. doi:10.1007/
s00442-006-0519-8
Holben BN (1986) Characteristics of maximum-value composite images from temporal AVHRR
data. Int J Remote Sens 7:1417–1434
Huemmrich KF, Black TA, Jarvis PG, McCaughey JH, Hall FG (1999) High temporal resolution
NDVI phenology from micrometeorological radiation sensors. J Geophys Res Atmos
104:27935–27944. doi:10.1029/1999JD900164
Huete AR (1988) A soil-adjusted vegetation index (SAVI). Remote Sens Environ 25:295–309.
doi:10.1016/0034-4257(88)90106-X
Huete AR, Liu HQ (1994) An error and sensitivity analysis of the atmospheric-and soil-correcting
variants of the NDVI for the MODIS-EOS. IEEE T Geosci Remote 32:897–905. doi:10.1109/
36.298018
Huete A, Justice C, van Leeuwen W (1999) MODIS vegetation index (MOD 13) algorithm
theoretical basis document. Version 3. http://modis.gsfc.nasa.gov/data/atbd/atbd_mod13.pdf.
Accessed 8 Aug 2012
Huete A, Didan K, Miura T, Rodriguez EP, Gao X, Ferreira LG (2002) Overview of the
radiometric and biophysical performance of the MODIS vegetation indices. Remote Sens
Environ 83:195–213. doi:10.1016/S0034-4257(02)00096-2
Hufkens K, Friedl M, Sonnentag O, Braswell BH, Milliman T, Richardson AD (2012) Linking
near-surface and satellite remote sensing measurements of deciduous broadleaf forest
phenology. Remote Sens Environ 117:307–321. doi:10.1016/j.rse.2011.10.006
Ivits E, Cherlet M, Tóth G, Sommer S, Mehl W, Vogt J, Micale F (2012) Combining satellite
derived phenology with climate data for climate change impact assessment. Global Planet
Change 88–89:85–97. doi:10.1016/j.gloplacha.2012.03.010
James ME & Kalluri SNV (1994) The Pathfinder AVHRR land data set: An improved coarse
resolution data set for terrestrial monitoring. Remote Sensing of Environment,
15(17):3347–3363. doi:10.1080/01431169408954335
Jönsson P, Eklundh L (2004) TIMESAT—a program for analyzing time-series of satellite sensor
data. Comput Geosci 30:833–845. doi:10.1016/j.cageo.2004.05.006
Ju JC, Roy DP, Shuai YM, Schaaf C (2010) Development of an approach for generation of
temporally complete daily nadir MODIS reflectance time series. Remote Sens of Environ
114:1–20. doi:10.1016/j.rse.2009.05.022
Justice CO, Holben BN, Gwynne MD (1986) Monitoring East African vegetation using AVHRR
data. Int J Remote Sens 7:1453–1474
Justice CO, Vermote E, Townshend JRG, Defries R, Roy DP, Hall DK, Salomonson VV, Privette
JL, Riggs G & Strahler A (1998) The Moderate resolution imaging spectroradiometer
4 Land Surface Phenology
121