Giri C, Ochieng E, Tieszen LL, Zhu Z, Singh A, Loveland T, Masek J, Duke N (2011) Status and
distribution of mangrove forests of the world using earth observation satellite data. Global
Ecol Biogeogr 20(1):154–159
Gitelson AA, Kaufman YJ (1998) MODIS NDVI optimization to fit the AVHRR data series
spectral considerations. Remote Sens Environ 66(3):343–350
Gitelson AA, Gritz Y, Merzlyak MN (2003) Relationships between leaf chlorophyll content and
spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant
leaves. J Plant Physiol 160(3):271–282
Glenn EP, Huete AR, Nagler PL, Hirschboeck KK, Brown P (2007) Integrating remote sensing
and ground methods to estimate evapotranspiration. Crit Rev Plant Sci 26(3):139–168
Glenn EP, Huete AR, Nagler PL, Nelson SG (2008) Relationship between remotely-sensed
vegetation indices, canopy attributes and plant physiological processes: what vegetation
indices can and cannot tell us about the landscape. Sensors Basel 8(4):2136–2160
Glenn EP, Doody TM, Guerschman JP, Huete AR, King EA, McVicar TR, Van Dijk AIJM, Van
Niel TG, Yebra M, Zhang YQ (2011) Actual evapotranspiration estimation by ground and
remote sensing methods: the Australian experience. Hydrol Process 25(26):4103–4116.
doi:10.1002/Hyp.8391
Gobron N, Pinty B, Verstraete MM, Widlowski JL (2000) Advanced vegetation indices
optimized for up-coming sensors: design, performance, and applications. IEEE Trans Geosci
Remote Sens 38(6):2489–2505
Graetz RD (1990) Remote sensing of terrestrial ecosystem structure: an ecologist’s pragmatic
view. In: Hobbs RJ, Mooney HA (eds) Remote sensing of biosphere functioning. Springer,
New York
Guerschman JP, Van Dijk AIJM, Mattersdorf G, Beringer J, Hutley LB, Leuning R, Pipunic RC,
Sherman BS (2009) Scaling of potential evapotranspiration with MODIS data reproduces flux
observations and catchment water balance observations across Australia. J Hydrol
369(1–2):107–119. doi:10.1016/J.Jhydrol.2009.02.013
Hilker T, Coops NC, Schwalm CR, Jassal RS, Black TA, Krishnan P (2008) Effects of mutual
shading of tree crowns on prediction of photosynthetic light-use efficiency in a coastal
Douglas-fir forest. Tree Physiol 28(6):825–834
Hilker T, Gitelson A, Coops NC, Hall FG, Black TA (2011) Tracking plant physiological
properties from multi-angular tower-based remote sensing. Oecologia 165(4):865–876
Holben BN (1986) Characteristics of maximum-value composite images from temporal AVHRR
data. Int J Remote Sens 7(11):1417–1434
Holben BN, Eck TF, Slutsker I, Tanre D, Buis JP, Setzer A, Vermote E, Reagan JA, Kaufman YJ,
Nakajima T, Lavenu F, Jankowiak I, Smirnov A (1998) AERONET—a federated instrument
network and data archive for aerosol characterization. Remote Sens Environ 66(1):1–16
Houborg RM, Soegaard H (2004) Regional simulation of ecosystem CO2 and water vapor
exchange for agricultural land using NOAA AVHRR and Terra MODIS satellite data.
Application to Zealand, Denmark. Remote Sens Environ 93(1–2):150–167
Huemmrich KF, Privette JL, Mukelabai M, Myneni RB, Knyazikhin Y (2005) Time-series
validation of MODIS land biophysical products in a Kalahari woodland, Africa. Int J Remote
Sens 26(19):4381–4398
Huete A (1988) A soil-adjusted vegetation index (SAVI). Remote Sens Environ 25(3): 295–309
Huete AR, Glenn EP (2011) Recent advances in remote sensing of ecosystem structure and
function. In: Weng Q (ed) Advances in environmental remote sensing: sensors, algorithms,
and applications. CRC Press/Taylor and Francis Group, New York
Huete A, Didan, K, van Leeuwen W, Miura T, Glenn E (2011) MODIS Vegetation Indices, In:
Ramachandran B, Justice CO, Abrams M (eds) Land remote sensing and global environmental change: NASA’s earth observing system and the science of ASTER and MODIS, vol
11. Springer, Berlin
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(1–2):195–213
1 Indices of Vegetation Activity
35
distribution of mangrove forests of the world using earth observation satellite data. Global
Ecol Biogeogr 20(1):154–159
Gitelson AA, Kaufman YJ (1998) MODIS NDVI optimization to fit the AVHRR data series
spectral considerations. Remote Sens Environ 66(3):343–350
Gitelson AA, Gritz Y, Merzlyak MN (2003) Relationships between leaf chlorophyll content and
spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant
leaves. J Plant Physiol 160(3):271–282
Glenn EP, Huete AR, Nagler PL, Hirschboeck KK, Brown P (2007) Integrating remote sensing
and ground methods to estimate evapotranspiration. Crit Rev Plant Sci 26(3):139–168
Glenn EP, Huete AR, Nagler PL, Nelson SG (2008) Relationship between remotely-sensed
vegetation indices, canopy attributes and plant physiological processes: what vegetation
indices can and cannot tell us about the landscape. Sensors Basel 8(4):2136–2160
Glenn EP, Doody TM, Guerschman JP, Huete AR, King EA, McVicar TR, Van Dijk AIJM, Van
Niel TG, Yebra M, Zhang YQ (2011) Actual evapotranspiration estimation by ground and
remote sensing methods: the Australian experience. Hydrol Process 25(26):4103–4116.
doi:10.1002/Hyp.8391
Gobron N, Pinty B, Verstraete MM, Widlowski JL (2000) Advanced vegetation indices
optimized for up-coming sensors: design, performance, and applications. IEEE Trans Geosci
Remote Sens 38(6):2489–2505
Graetz RD (1990) Remote sensing of terrestrial ecosystem structure: an ecologist’s pragmatic
view. In: Hobbs RJ, Mooney HA (eds) Remote sensing of biosphere functioning. Springer,
New York
Guerschman JP, Van Dijk AIJM, Mattersdorf G, Beringer J, Hutley LB, Leuning R, Pipunic RC,
Sherman BS (2009) Scaling of potential evapotranspiration with MODIS data reproduces flux
observations and catchment water balance observations across Australia. J Hydrol
369(1–2):107–119. doi:10.1016/J.Jhydrol.2009.02.013
Hilker T, Coops NC, Schwalm CR, Jassal RS, Black TA, Krishnan P (2008) Effects of mutual
shading of tree crowns on prediction of photosynthetic light-use efficiency in a coastal
Douglas-fir forest. Tree Physiol 28(6):825–834
Hilker T, Gitelson A, Coops NC, Hall FG, Black TA (2011) Tracking plant physiological
properties from multi-angular tower-based remote sensing. Oecologia 165(4):865–876
Holben BN (1986) Characteristics of maximum-value composite images from temporal AVHRR
data. Int J Remote Sens 7(11):1417–1434
Holben BN, Eck TF, Slutsker I, Tanre D, Buis JP, Setzer A, Vermote E, Reagan JA, Kaufman YJ,
Nakajima T, Lavenu F, Jankowiak I, Smirnov A (1998) AERONET—a federated instrument
network and data archive for aerosol characterization. Remote Sens Environ 66(1):1–16
Houborg RM, Soegaard H (2004) Regional simulation of ecosystem CO2 and water vapor
exchange for agricultural land using NOAA AVHRR and Terra MODIS satellite data.
Application to Zealand, Denmark. Remote Sens Environ 93(1–2):150–167
Huemmrich KF, Privette JL, Mukelabai M, Myneni RB, Knyazikhin Y (2005) Time-series
validation of MODIS land biophysical products in a Kalahari woodland, Africa. Int J Remote
Sens 26(19):4381–4398
Huete A (1988) A soil-adjusted vegetation index (SAVI). Remote Sens Environ 25(3): 295–309
Huete AR, Glenn EP (2011) Recent advances in remote sensing of ecosystem structure and
function. In: Weng Q (ed) Advances in environmental remote sensing: sensors, algorithms,
and applications. CRC Press/Taylor and Francis Group, New York
Huete A, Didan, K, van Leeuwen W, Miura T, Glenn E (2011) MODIS Vegetation Indices, In:
Ramachandran B, Justice CO, Abrams M (eds) Land remote sensing and global environmental change: NASA’s earth observing system and the science of ASTER and MODIS, vol
11. Springer, Berlin
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(1–2):195–213
1 Indices of Vegetation Activity
35