336
Balzter H, Luckman A, Skinner L, Rowland C, Dawson T (2007a) Observations of forest stand top height and mean height from interferometric SAR and LiDAR over a conifer plantation at Thetford Forest, UK. Int J Remote Sens 28:1173–1197. https://doi.
org/10.1080/01431160600904998
Balzter H, Rowland CS, Saich P (2007b) Forest canopy height and carbon estimation at Monks
Wood National Nature Reserve, UK, using dual-wavelength SAR interferometry. Remote Sens
Environ 108:224–239. https://doi.org/10.1016/j.rse.2006.11.014
Banks SN, King DJ, Merzouki A, Duffe J (2014a) Characterizing scattering behaviour and assessing potential for classification of Arctic shore and near-shore land covers with fine quad-pol
RADARSAT-2 data. Can J Remote Sens 40:291–314. https://doi.org/10.1080/07038992.2014
.979487
Banks SN, King DJ, Merzouki A, Duffe J (2014b) Assessing RADARSAT-2 for mapping shoreline
cleanup and assessment technique (SCAT) classes in the Canadian Arctic. Can J Remote Sens
40:243–267. https://doi.org/10.1080/07038992.2014.968276
Baselga A (2013) Multiple site dissimilarity quantifies compositional heterogeneity among several
sites, while average pairwise dissimilarity may be misleading. Ecography (Cop) 36:124–128.
https://doi.org/10.1111/j.1600-0587.2012.00124.x
Beck W, Müller J (2007) Impact of heat and drought on tree and stand vitality – dendroecological methods and first results from level 2-plots in southern Germany. Schr Forstl Fak Univ
Göttingen Nord Forstl Versuchsanst 142:120–128
Bergen KM, Gilboy AM, Brown DG (2007) Multi-dimensional vegetation structure in modeling
avian habitat. Ecol Inform 2:9–22. https://doi.org/10.1016/j.ecoinf.2007.01.001
Bergen KM, Goetz SJ, Dubayah RO, Henebry GM, Hunsaker CT, Imhoff ML, Nelson RF,
Parker GG, Radeloff VC (2009) Remote sensing of vegetation 3-D structure for biodiversity
and habitat: review and implications for lidar and radar spaceborne missions. J Geophys Res
Biogeosciences 114. https://doi.org/10.1029/2008JG000883
Bonan GB (2008) Ecological climatology: concepts and applications, 2nd edn. Geogr Res 48:221–
222. https://doi.org/10.1111/j.1745-5871.2009.00640.x
Brosinsky A, Lausch A, Doktor D, Salbach C, Merbach I, Gwillym-Margianto S, Pause M (2013)
Analysis of spectral vegetation signal characteristics as a function of soil moisture conditions using hyperspectral remote sensing. J Indian Soc Remote Sens 42:311–324. https://doi.
org/10.1007/s12524-013-0298-8
Brown TB, Hultine KR, Steltzer H, Denny EG, Denslow MW, Granados J, Henderson S, Moore D,
Nagai S, Sanclements M, Sánchez-Azofeifa A, Sonnentag O, Tazik D, Richardson AD (2016)
Using phenocams to monitor our changing Earth: toward a global phenocam network. Front
Ecol Environ 14:84–93. https://doi.org/10.1002/fee.1222
Bruelheide H, Nadrowski K, Assmann T, Bauhus J, Both S, Buscot F, Chen XY, Ding B, Durka W,
Erfmeier A, Gutknecht JLM, Guo D, Guo LD, Härdtle W, He JS, Klein AM, Kühn P, Liang Y,
Liu X, Michalski S, Niklaus PA, Pei K, Scherer-Lorenzen M, Scholten T, Schuldt A, Seidler
G, Trogisch S, von Oheimb G, Welk E, Wirth C, Wubet T, Yang X, Yu M, Zhang S, Zhou H,
Fischer M, Ma K, Schmid B (2014) Designing forest biodiversity experiments: general considerations illustrated by a new large experiment in subtropical China. Methods Ecol Evol
5:74–89. https://doi.org/10.1111/2041-210X.12126
Buddenbaum H, Hill J (2015) PROSPECT inversions of leaf laboratory imaging spectroscopy – a comparison of spectral range and inversion technique influences. Photogramm –
Fernerkundung – Geoinf 2015:231–240. https://doi.org/10.1127/pfg/2015/0264
Buddenbaum H, Rock G, Hill J, Werner W (2015a) European journal of remote sensing measuring
stress reactions of beech seedlings with PRI, fluorescence, temperatures and emissivity from
VNIR and thermal field imaging spectroscopy. Eur J Remote Sens 48:263–282. https://doi.
org/10.5721/EuJRS20154815
Buddenbaum H, Stern O, Paschmionka B, Hass E, Gattung T, Stoffels J, Hill J, Werner W (2015b)
Using VNIR and SWIR field imaging spectroscopy for drought stress monitoring of beech
seedlings. Int J Remote Sens 36:4590–4605. https://doi.org/10.1080/01431161.2015.1084435
A. Lausch et al.
Balzter H, Luckman A, Skinner L, Rowland C, Dawson T (2007a) Observations of forest stand top height and mean height from interferometric SAR and LiDAR over a conifer plantation at Thetford Forest, UK. Int J Remote Sens 28:1173–1197. https://doi.
org/10.1080/01431160600904998
Balzter H, Rowland CS, Saich P (2007b) Forest canopy height and carbon estimation at Monks
Wood National Nature Reserve, UK, using dual-wavelength SAR interferometry. Remote Sens
Environ 108:224–239. https://doi.org/10.1016/j.rse.2006.11.014
Banks SN, King DJ, Merzouki A, Duffe J (2014a) Characterizing scattering behaviour and assessing potential for classification of Arctic shore and near-shore land covers with fine quad-pol
RADARSAT-2 data. Can J Remote Sens 40:291–314. https://doi.org/10.1080/07038992.2014
.979487
Banks SN, King DJ, Merzouki A, Duffe J (2014b) Assessing RADARSAT-2 for mapping shoreline
cleanup and assessment technique (SCAT) classes in the Canadian Arctic. Can J Remote Sens
40:243–267. https://doi.org/10.1080/07038992.2014.968276
Baselga A (2013) Multiple site dissimilarity quantifies compositional heterogeneity among several
sites, while average pairwise dissimilarity may be misleading. Ecography (Cop) 36:124–128.
https://doi.org/10.1111/j.1600-0587.2012.00124.x
Beck W, Müller J (2007) Impact of heat and drought on tree and stand vitality – dendroecological methods and first results from level 2-plots in southern Germany. Schr Forstl Fak Univ
Göttingen Nord Forstl Versuchsanst 142:120–128
Bergen KM, Gilboy AM, Brown DG (2007) Multi-dimensional vegetation structure in modeling
avian habitat. Ecol Inform 2:9–22. https://doi.org/10.1016/j.ecoinf.2007.01.001
Bergen KM, Goetz SJ, Dubayah RO, Henebry GM, Hunsaker CT, Imhoff ML, Nelson RF,
Parker GG, Radeloff VC (2009) Remote sensing of vegetation 3-D structure for biodiversity
and habitat: review and implications for lidar and radar spaceborne missions. J Geophys Res
Biogeosciences 114. https://doi.org/10.1029/2008JG000883
Bonan GB (2008) Ecological climatology: concepts and applications, 2nd edn. Geogr Res 48:221–
222. https://doi.org/10.1111/j.1745-5871.2009.00640.x
Brosinsky A, Lausch A, Doktor D, Salbach C, Merbach I, Gwillym-Margianto S, Pause M (2013)
Analysis of spectral vegetation signal characteristics as a function of soil moisture conditions using hyperspectral remote sensing. J Indian Soc Remote Sens 42:311–324. https://doi.
org/10.1007/s12524-013-0298-8
Brown TB, Hultine KR, Steltzer H, Denny EG, Denslow MW, Granados J, Henderson S, Moore D,
Nagai S, Sanclements M, Sánchez-Azofeifa A, Sonnentag O, Tazik D, Richardson AD (2016)
Using phenocams to monitor our changing Earth: toward a global phenocam network. Front
Ecol Environ 14:84–93. https://doi.org/10.1002/fee.1222
Bruelheide H, Nadrowski K, Assmann T, Bauhus J, Both S, Buscot F, Chen XY, Ding B, Durka W,
Erfmeier A, Gutknecht JLM, Guo D, Guo LD, Härdtle W, He JS, Klein AM, Kühn P, Liang Y,
Liu X, Michalski S, Niklaus PA, Pei K, Scherer-Lorenzen M, Scholten T, Schuldt A, Seidler
G, Trogisch S, von Oheimb G, Welk E, Wirth C, Wubet T, Yang X, Yu M, Zhang S, Zhou H,
Fischer M, Ma K, Schmid B (2014) Designing forest biodiversity experiments: general considerations illustrated by a new large experiment in subtropical China. Methods Ecol Evol
5:74–89. https://doi.org/10.1111/2041-210X.12126
Buddenbaum H, Hill J (2015) PROSPECT inversions of leaf laboratory imaging spectroscopy – a comparison of spectral range and inversion technique influences. Photogramm –
Fernerkundung – Geoinf 2015:231–240. https://doi.org/10.1127/pfg/2015/0264
Buddenbaum H, Rock G, Hill J, Werner W (2015a) European journal of remote sensing measuring
stress reactions of beech seedlings with PRI, fluorescence, temperatures and emissivity from
VNIR and thermal field imaging spectroscopy. Eur J Remote Sens 48:263–282. https://doi.
org/10.5721/EuJRS20154815
Buddenbaum H, Stern O, Paschmionka B, Hass E, Gattung T, Stoffels J, Hill J, Werner W (2015b)
Using VNIR and SWIR field imaging spectroscopy for drought stress monitoring of beech
seedlings. Int J Remote Sens 36:4590–4605. https://doi.org/10.1080/01431161.2015.1084435
A. Lausch et al.