422
Schweiger AK, Schütz M, Risch AC, Kneubühler M, Haller R, Schaepman ME (2017) How to predict plant functional types using imaging spectroscopy: linking vegetation community traits,
plant functional types and spectral response. Methods Ecol Evol 8:86–95
Serbin SP, Singh A, Mcneil BE, Kingdon CC, Townsend PA (2014) Spectroscopic determination
of leaf morphological and biochemical traits for northern temperate and boreal tree species.
Ecol Appl 24:1651–1669
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
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
Smith GM, Milton EJ (1999) The use of the empirical line method to calibrate remotely sensed
data to reflectance. Int J Remote Sens 20:2653–2662
Stehman SV (2001) Statistical rigor and practical utility in thematic map accuracy assessment.
1525. Photogramm Eng Remote Sens 67:727–734
Stehman S, Foody G (2009) Accuracy assessment. In: Warner T, Nellis M, Foody G (eds) The
SAGE handbook of remote sensing. Sage Publications, London
Stein A, Van Der Meer FD, Gorte B (2002) Spatial statistics for remote sensing. Kluwer Academic
Publishers, Dordrecht
Szary ALA (2015) Boundaries and borders. In: The Wiley Blackwell companion to political
geography
Thenkabail PS, Lyon JG, Huete A (2012) Hyperspectral remote sensing of vegetation. CRC Press,
Boca Raton
Theobald DM, Stevens DL, White D, Urquhart NS, Olsen AR, Norman JB (2007) Using gis to
generate spatially balanced random survey designs for natural resource applications. Environ
Manag 40:134–146
Tucker CJ (1979) Red and photographic infrared linear combinations for monitoring vegetation.
Remote Sens Environ 8:127–150
Ustin SL, Gamon JA (2010) Remote sensing of plant functional types. New Phytol 186:795–816
Ustin SL, Gitelson AA, Jacquemoud S, Schaepman ME, 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
van der Maarel E, Franklin J (2012) Vegetation ecology. Wiley-Blackwell, Chichester
Vane G, Goetz AFH (1988) Terrestrial imaging spectroscopy. Remote Sens Environ 24:1–29
Verhoef W (1984) Light scattering by leaf layers with application to canopy reflectance modeling:
the sail model. Remote Sens Environ 16:125–141
Verrelst J, Camps-Valls G, Muñoz-Marí J, Rivera JP, Veroustraete F, Clevers JGPW, Moreno J
(2015) Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties – a review. ISPRS J Photogramm Remote Sens 108:273–290
Vohland M, Jarmer T (2008) Estimating structural and biochemical parameters for grassland from
spectroradiometer data by radiative transfer modelling (prospect+ sail). Int J Remote Sens
29:191–209
Walvoort DJ, Brus D, De Gruijter J (2010) An r package for spatial coverage sampling and random
sampling from compact geographical strata by k-means. Comput Geosci 36:1261–1267
Wang R, Gamon J, Montgomery R, Townsend P, Zygielbaum A, Bitan K, Tilman D, CavenderBares J (2016) Seasonal variation in the ndvi–species richness relationship in a prairie grassland experiment (cedar creek). Remote Sens 8:128
Wang Z, Townsend PA, Schweiger AK, Couture JJ, Singh A, Hobbie SE, Cavender-Bares J (2019)
Mapping foliar functional traits and their uncertainties across three years in a grassland experiment. Remote Sens Environ 221:405–416
Warner TA, Nellis MD, Foody GM (2009) The SAGE handbook of remote sensing. Sage
Publications, London
A. K. Schweiger
Schweiger AK, Schütz M, Risch AC, Kneubühler M, Haller R, Schaepman ME (2017) How to predict plant functional types using imaging spectroscopy: linking vegetation community traits,
plant functional types and spectral response. Methods Ecol Evol 8:86–95
Serbin SP, Singh A, Mcneil BE, Kingdon CC, Townsend PA (2014) Spectroscopic determination
of leaf morphological and biochemical traits for northern temperate and boreal tree species.
Ecol Appl 24:1651–1669
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
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
Smith GM, Milton EJ (1999) The use of the empirical line method to calibrate remotely sensed
data to reflectance. Int J Remote Sens 20:2653–2662
Stehman SV (2001) Statistical rigor and practical utility in thematic map accuracy assessment.
1525. Photogramm Eng Remote Sens 67:727–734
Stehman S, Foody G (2009) Accuracy assessment. In: Warner T, Nellis M, Foody G (eds) The
SAGE handbook of remote sensing. Sage Publications, London
Stein A, Van Der Meer FD, Gorte B (2002) Spatial statistics for remote sensing. Kluwer Academic
Publishers, Dordrecht
Szary ALA (2015) Boundaries and borders. In: The Wiley Blackwell companion to political
geography
Thenkabail PS, Lyon JG, Huete A (2012) Hyperspectral remote sensing of vegetation. CRC Press,
Boca Raton
Theobald DM, Stevens DL, White D, Urquhart NS, Olsen AR, Norman JB (2007) Using gis to
generate spatially balanced random survey designs for natural resource applications. Environ
Manag 40:134–146
Tucker CJ (1979) Red and photographic infrared linear combinations for monitoring vegetation.
Remote Sens Environ 8:127–150
Ustin SL, Gamon JA (2010) Remote sensing of plant functional types. New Phytol 186:795–816
Ustin SL, Gitelson AA, Jacquemoud S, Schaepman ME, 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
van der Maarel E, Franklin J (2012) Vegetation ecology. Wiley-Blackwell, Chichester
Vane G, Goetz AFH (1988) Terrestrial imaging spectroscopy. Remote Sens Environ 24:1–29
Verhoef W (1984) Light scattering by leaf layers with application to canopy reflectance modeling:
the sail model. Remote Sens Environ 16:125–141
Verrelst J, Camps-Valls G, Muñoz-Marí J, Rivera JP, Veroustraete F, Clevers JGPW, Moreno J
(2015) Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties – a review. ISPRS J Photogramm Remote Sens 108:273–290
Vohland M, Jarmer T (2008) Estimating structural and biochemical parameters for grassland from
spectroradiometer data by radiative transfer modelling (prospect+ sail). Int J Remote Sens
29:191–209
Walvoort DJ, Brus D, De Gruijter J (2010) An r package for spatial coverage sampling and random
sampling from compact geographical strata by k-means. Comput Geosci 36:1261–1267
Wang R, Gamon J, Montgomery R, Townsend P, Zygielbaum A, Bitan K, Tilman D, CavenderBares J (2016) Seasonal variation in the ndvi–species richness relationship in a prairie grassland experiment (cedar creek). Remote Sens 8:128
Wang Z, Townsend PA, Schweiger AK, Couture JJ, Singh A, Hobbie SE, Cavender-Bares J (2019)
Mapping foliar functional traits and their uncertainties across three years in a grassland experiment. Remote Sens Environ 221:405–416
Warner TA, Nellis MD, Foody GM (2009) The SAGE handbook of remote sensing. Sage
Publications, London
A. K. Schweiger