80
Shenk JS, Landa I, Hoover MR, Westerhaus MO (1981) Description and evaluation of a near infrared reflectance spectro-computer for forage and grain analysis1. Crop Sci 21:355–358
Shiklomanov AN, Dietze MC, Viskari T, Townsend PA, Serbin SP (2016) Quantifying the influences of spectral resolution on uncertainty in leaf trait estimates through a Bayesian approach
to RTM inversion. Remote Sens Environ 183:226–238
Shiklomanov A, Bradley BA, Dahlin K, Fox A, Gough C, Hoffman FM, Middleton E, Serbin S,
Smallman L, Smith WK (2019) Enhancing global change experiments through integration of
remote-sensing techniques. Front Ecol Environ 17(4):215–224
Shull CA (1929) A Spectrophotometric Study of Reflection of Light from Leaf Surfaces. Bot Gaz
87(5):583–607
Sims DA, Gamon JA (2002) Relationships between leaf pigment content and spectral reflectance
across a wide range of species, leaf structures and developmental stages. Remote Sens Environ
81:337–354
Sims DA, Gamon JA (2003) Estimation of vegetation water content and photosynthetic tissue
area from spectral reflectance: a comparison of indices based on liquid water and chlorophyll
absorption features. Remote Sens Environ 84:526–537
Singh A, Serbin SP, McNeil BE, Kingdon CC, Townsend PA (2015) Imaging spectroscopy algorithms for mapping canopy foliar chemical and morphological traits and their uncertainties.
Ecol Appl 25:2180–2197
Sonnentag O, Chen JM, Roberts DA, Talbot J, Halligan KQ, Govind A (2007) Mapping tree and
shrub leaf area indices in an ombrotrophic peatland through multiple endmember spectral
unmixing. Remote Sens Environ 109:342–360
Stimson HC, Breshears DD, Ustin SL, Kefauver SC (2005) Spectral sensing of foliar water conditions in two co-occurring conifer species: Pinus edulis and Juniperus monosperma. Remote
Sens Environ 96:108–118
Stylinski CD, Gamon JA, Oechel WC (2002) Seasonal patterns of reflectance indices, carotenoid
pigments and photosynthesis of evergreen chaparral species. Oecologia 131:366–374
Thompson DR, Gao B-C, Green RO, Roberts DA, Dennison PE, Lundeen SR (2015) Atmospheric
correction for global mapping spectroscopy: ATREM advances for the HyspIRI preparatory
campaign. Remote Sens Environ 167:64–77
Thompson DR, Natraj V, Green RO, Helmlinger MC, Gao B-C, Eastwood ML (2018) Optimal estimation for imaging spectrometer atmospheric correction. Remote Sens Environ 216:355–373
Thulin S, Hill MJ, Held A, Jones S, Woodgate P (2014) Predicting levels of crude protein, digestibility, lignin and cellulose in temperate pastures using hyperspectral image data. Am J Plant
Sci 5:997–1019
Townsend PA (2002) Estimating forest structure in wetlands using multitemporal SAR. Remote
Sens Environ 79:288–304
Townsend PA, Foster JR, Chastain RA, Currie WS (2003) Application of imaging spectroscopy to
mapping canopy nitrogen in the forests of the central Appalachian Mountains using Hyperion
and AVIRIS. IEEE Trans Geosci Remote Sens 41:1347–1354
Tucker CJ, Slayback DA, Pinzon JE, Los SO, Myneni RB, Taylor MG (2001) Higher northern
latitude normalized difference vegetation index and growing season trends from 1982 to 1999.
Int J Biometeorol 45:184–190
Turner DP, Cohen WB, Kennedy RE, Fassnacht KS, Briggs JM (1999) Relationships between
leaf area index and landsat Tm spectral vegetation indices across three temperate zone sites.
Remote Sens Environ 70:52–68
Ustin SL, Gamon JA (2010) Remote sensing of plant functional types. New Phytol 186:795–816
Ustin SL, Gitelson AA, Jacquemoud S, Schaepman M, Asner GP, Gamon JA, Zarco-Tejada P
(2009) Retrieval of foliar information about plant pigment systems from high resolution spectroscopy. Remote Sens Environ 113:S67–S77
Ustin SL, Roberts DA, Gamon JA, Asner GP, Green RO (2004) Using imaging spectroscopy to
study ecosystem processes and properties. Bioscience 54:523–534
Vane G (1987) First results from the airborne visible/infrared imaging spectrometer (AVIRIS): SPIE.
S. P. Serbin and P. A. Townsend
Shenk JS, Landa I, Hoover MR, Westerhaus MO (1981) Description and evaluation of a near infrared reflectance spectro-computer for forage and grain analysis1. Crop Sci 21:355–358
Shiklomanov AN, Dietze MC, Viskari T, Townsend PA, Serbin SP (2016) Quantifying the influences of spectral resolution on uncertainty in leaf trait estimates through a Bayesian approach
to RTM inversion. Remote Sens Environ 183:226–238
Shiklomanov A, Bradley BA, Dahlin K, Fox A, Gough C, Hoffman FM, Middleton E, Serbin S,
Smallman L, Smith WK (2019) Enhancing global change experiments through integration of
remote-sensing techniques. Front Ecol Environ 17(4):215–224
Shull CA (1929) A Spectrophotometric Study of Reflection of Light from Leaf Surfaces. Bot Gaz
87(5):583–607
Sims DA, Gamon JA (2002) Relationships between leaf pigment content and spectral reflectance
across a wide range of species, leaf structures and developmental stages. Remote Sens Environ
81:337–354
Sims DA, Gamon JA (2003) Estimation of vegetation water content and photosynthetic tissue
area from spectral reflectance: a comparison of indices based on liquid water and chlorophyll
absorption features. Remote Sens Environ 84:526–537
Singh A, Serbin SP, McNeil BE, Kingdon CC, Townsend PA (2015) Imaging spectroscopy algorithms for mapping canopy foliar chemical and morphological traits and their uncertainties.
Ecol Appl 25:2180–2197
Sonnentag O, Chen JM, Roberts DA, Talbot J, Halligan KQ, Govind A (2007) Mapping tree and
shrub leaf area indices in an ombrotrophic peatland through multiple endmember spectral
unmixing. Remote Sens Environ 109:342–360
Stimson HC, Breshears DD, Ustin SL, Kefauver SC (2005) Spectral sensing of foliar water conditions in two co-occurring conifer species: Pinus edulis and Juniperus monosperma. Remote
Sens Environ 96:108–118
Stylinski CD, Gamon JA, Oechel WC (2002) Seasonal patterns of reflectance indices, carotenoid
pigments and photosynthesis of evergreen chaparral species. Oecologia 131:366–374
Thompson DR, Gao B-C, Green RO, Roberts DA, Dennison PE, Lundeen SR (2015) Atmospheric
correction for global mapping spectroscopy: ATREM advances for the HyspIRI preparatory
campaign. Remote Sens Environ 167:64–77
Thompson DR, Natraj V, Green RO, Helmlinger MC, Gao B-C, Eastwood ML (2018) Optimal estimation for imaging spectrometer atmospheric correction. Remote Sens Environ 216:355–373
Thulin S, Hill MJ, Held A, Jones S, Woodgate P (2014) Predicting levels of crude protein, digestibility, lignin and cellulose in temperate pastures using hyperspectral image data. Am J Plant
Sci 5:997–1019
Townsend PA (2002) Estimating forest structure in wetlands using multitemporal SAR. Remote
Sens Environ 79:288–304
Townsend PA, Foster JR, Chastain RA, Currie WS (2003) Application of imaging spectroscopy to
mapping canopy nitrogen in the forests of the central Appalachian Mountains using Hyperion
and AVIRIS. IEEE Trans Geosci Remote Sens 41:1347–1354
Tucker CJ, Slayback DA, Pinzon JE, Los SO, Myneni RB, Taylor MG (2001) Higher northern
latitude normalized difference vegetation index and growing season trends from 1982 to 1999.
Int J Biometeorol 45:184–190
Turner DP, Cohen WB, Kennedy RE, Fassnacht KS, Briggs JM (1999) Relationships between
leaf area index and landsat Tm spectral vegetation indices across three temperate zone sites.
Remote Sens Environ 70:52–68
Ustin SL, Gamon JA (2010) Remote sensing of plant functional types. New Phytol 186:795–816
Ustin SL, Gitelson AA, Jacquemoud S, Schaepman M, Asner GP, Gamon JA, Zarco-Tejada P
(2009) Retrieval of foliar information about plant pigment systems from high resolution spectroscopy. Remote Sens Environ 113:S67–S77
Ustin SL, Roberts DA, Gamon JA, Asner GP, Green RO (2004) Using imaging spectroscopy to
study ecosystem processes and properties. Bioscience 54:523–534
Vane G (1987) First results from the airborne visible/infrared imaging spectrometer (AVIRIS): SPIE.
S. P. Serbin and P. A. Townsend