78
Moorthy I, Miller JR, Noland TL (2008) Estimating chlorophyll concentration in conifer needles
with hyperspectral data: An assessment at the needle and canopy level. Remote Sens Environ
112(6):2824–2838
Moreno-Martínez Á, Camps-Valls G, Kattge J, Robinson N, Reichstein M, van Bodegom P,
Kramer K, Cornelissen JHC, Reich P, Bahn M, Niinemets Ü, Peñuelas J, Craine JM, Cerabolini
BEL, Minden V, Laughlin DC, Sack L, Allred B, Baraloto C, Byun C, Soudzilovskaia NA,
Running SW (2018) A methodology to derive global maps of leaf traits using remote sensing
and climate data. Remote Sens Environ 218:69–88
Mutanga O, Kumar L (2007) Estimating and mapping grass phosphorus concentration in an
African savanna using hyperspectral image data. Int J Remote Sens 28(21):4897–4911
Myneni RB, Williams DL (1994) On the relationship between FAPAR and NDVI. Remote Sens
Environ 49:200–211
Neyret M, Bentley LP, Oliveras I, Marimon BS, Marimon-Junior BH, Almeida de Oliveira E,
Barbosa Passos F, Castro Ccoscco R, dos Santos J, Matias Reis S, Morandi PS, Rayme Paucar
G, Robles Cáceres A, Valdez Tejeira Y, Yllanes Choque Y, Salinas N, Shenkin A, Asner GP,
Díaz S, Enquist BJ, Malhi Y (2016) Examining variation in the leaf mass per area of dominant
species across two contrasting tropical gradients in light of community assembly. Ecology and
Evolution 6:5674–5689
Niinemets U (2007) Photosynthesis and resource distribution through plant canopies. Plant Cell
Environ 30:1052–1071
Niinemets Ü (2016) Leaf age dependent changes in within-canopy variation in leaf functional
traits: a meta-analysis. J Plant Res 129:313–338
Nilson T, Kuusk A, Lang M, Lükk T (2003) Forest reflectance modeling: theoretical aspects and
applications. Ambio 32:535–541
North PRJ (1996) Three-dimensional forest light interaction model using a Monte Carlo method.
IEEE Trans Geosci Remote Sens 34:946–956
Norris KH, Hart JR (1965) Direct spectrophotometric determination of moisture content of grain
and seeds. Proceedings of the 1963 International Symposium on Humidity and Moisture,
Reinhold, New York, vol. 4, pp 19–25
Norris KH, Barnes RF, Moore JE, Shenk JS (1976) Predicting forage quality by infrared replectance spectroscopy. J Anim Sci 43(4):889–897
Ollinger SV (2011) Sources of variability in canopy reflectance and the convergent properties of
plants. New Phytol 189:375–394
Ollinger SV, Smith ML (2005) Net primary production and canopy nitrogen in a temperate forest landscape: An analysis using imaging spectroscopy, modeling and field data. Ecosystems
8:760–778
Ollinger SV, Smith ML, Martin ME, Hallett RA, Goodale CL, Aber JD (2002) Regional variation
in foliar chemistry and N cycling among forests of diverse history and composition. Ecology
83:339–355
Osnas JLD, Katabuchi M, Kitajima K, Wright SJ, Reich PB, Van Bael SA, Kraft NJB, Samaniego
MJ, Pacala SW, Lichstein JW (2018) Divergent drivers of leaf trait variation within species,
among species, and among functional groups. Proc Natl Acad Sci 115:5480–5485
Peckham SD, Ahl DE, Serbin SP, Gower ST (2008) Fire-induced changes in green-up and leaf
maturity of the Canadian boreal forest. Remote Sens Environ 112:3594–3603
Penuelas J, Filella I, Gamon JA (1995) Assessment of photosynthetic radiation-use efficiency with
spectral reflectance. New Phytol 131:291–296
Peterson DL, Aber JD, Matson PA, Card DH, Swanberg N, Wessman C, Spanner M (1988) Remotesensing of forest canopy and leaf biochemical contents. Remote Sens Environ 24:85–108
Pettorelli N, Wegmann M, Skidmore A, Mücher S, Dawson TP, Fernandez M, Lucas R, Schaepman
ME, Wang T, O'Connor B, Jongman RHG, Kempeneers P, Sonnenschein R, Leidner AK, Böhm
M, He KS, Nagendra H, Dubois G, Fatoyinbo T, Hansen MC, Paganini M, de Klerk HM, Asner
GP, Kerr JT, Estes AB, Schmeller DS, Heiden U, Rocchini D, Pereira HM, Turak E, Fernandez
N, Lausch A, Cho MA, Alcaraz-Segura D, McGeoch MA, Turner W, Mueller A, St-Louis V,
S. P. Serbin and P. A. Townsend
Moorthy I, Miller JR, Noland TL (2008) Estimating chlorophyll concentration in conifer needles
with hyperspectral data: An assessment at the needle and canopy level. Remote Sens Environ
112(6):2824–2838
Moreno-Martínez Á, Camps-Valls G, Kattge J, Robinson N, Reichstein M, van Bodegom P,
Kramer K, Cornelissen JHC, Reich P, Bahn M, Niinemets Ü, Peñuelas J, Craine JM, Cerabolini
BEL, Minden V, Laughlin DC, Sack L, Allred B, Baraloto C, Byun C, Soudzilovskaia NA,
Running SW (2018) A methodology to derive global maps of leaf traits using remote sensing
and climate data. Remote Sens Environ 218:69–88
Mutanga O, Kumar L (2007) Estimating and mapping grass phosphorus concentration in an
African savanna using hyperspectral image data. Int J Remote Sens 28(21):4897–4911
Myneni RB, Williams DL (1994) On the relationship between FAPAR and NDVI. Remote Sens
Environ 49:200–211
Neyret M, Bentley LP, Oliveras I, Marimon BS, Marimon-Junior BH, Almeida de Oliveira E,
Barbosa Passos F, Castro Ccoscco R, dos Santos J, Matias Reis S, Morandi PS, Rayme Paucar
G, Robles Cáceres A, Valdez Tejeira Y, Yllanes Choque Y, Salinas N, Shenkin A, Asner GP,
Díaz S, Enquist BJ, Malhi Y (2016) Examining variation in the leaf mass per area of dominant
species across two contrasting tropical gradients in light of community assembly. Ecology and
Evolution 6:5674–5689
Niinemets U (2007) Photosynthesis and resource distribution through plant canopies. Plant Cell
Environ 30:1052–1071
Niinemets Ü (2016) Leaf age dependent changes in within-canopy variation in leaf functional
traits: a meta-analysis. J Plant Res 129:313–338
Nilson T, Kuusk A, Lang M, Lükk T (2003) Forest reflectance modeling: theoretical aspects and
applications. Ambio 32:535–541
North PRJ (1996) Three-dimensional forest light interaction model using a Monte Carlo method.
IEEE Trans Geosci Remote Sens 34:946–956
Norris KH, Hart JR (1965) Direct spectrophotometric determination of moisture content of grain
and seeds. Proceedings of the 1963 International Symposium on Humidity and Moisture,
Reinhold, New York, vol. 4, pp 19–25
Norris KH, Barnes RF, Moore JE, Shenk JS (1976) Predicting forage quality by infrared replectance spectroscopy. J Anim Sci 43(4):889–897
Ollinger SV (2011) Sources of variability in canopy reflectance and the convergent properties of
plants. New Phytol 189:375–394
Ollinger SV, Smith ML (2005) Net primary production and canopy nitrogen in a temperate forest landscape: An analysis using imaging spectroscopy, modeling and field data. Ecosystems
8:760–778
Ollinger SV, Smith ML, Martin ME, Hallett RA, Goodale CL, Aber JD (2002) Regional variation
in foliar chemistry and N cycling among forests of diverse history and composition. Ecology
83:339–355
Osnas JLD, Katabuchi M, Kitajima K, Wright SJ, Reich PB, Van Bael SA, Kraft NJB, Samaniego
MJ, Pacala SW, Lichstein JW (2018) Divergent drivers of leaf trait variation within species,
among species, and among functional groups. Proc Natl Acad Sci 115:5480–5485
Peckham SD, Ahl DE, Serbin SP, Gower ST (2008) Fire-induced changes in green-up and leaf
maturity of the Canadian boreal forest. Remote Sens Environ 112:3594–3603
Penuelas J, Filella I, Gamon JA (1995) Assessment of photosynthetic radiation-use efficiency with
spectral reflectance. New Phytol 131:291–296
Peterson DL, Aber JD, Matson PA, Card DH, Swanberg N, Wessman C, Spanner M (1988) Remotesensing of forest canopy and leaf biochemical contents. Remote Sens Environ 24:85–108
Pettorelli N, Wegmann M, Skidmore A, Mücher S, Dawson TP, Fernandez M, Lucas R, Schaepman
ME, Wang T, O'Connor B, Jongman RHG, Kempeneers P, Sonnenschein R, Leidner AK, Böhm
M, He KS, Nagendra H, Dubois G, Fatoyinbo T, Hansen MC, Paganini M, de Klerk HM, Asner
GP, Kerr JT, Estes AB, Schmeller DS, Heiden U, Rocchini D, Pereira HM, Turak E, Fernandez
N, Lausch A, Cho MA, Alcaraz-Segura D, McGeoch MA, Turner W, Mueller A, St-Louis V,
S. P. Serbin and P. A. Townsend