346
Thapa RB, Shimada M, Watanabe M, Motohka T, Shiraishi T (2013) The tropical forest in south
East Asia: monitoring and scenario modeling using synthetic aperture radar data. Appl Geogr
41:168–178. https://doi.org/10.1016/j.apgeog.2013.04.009
Thiel K, Wehr A (2004) An overview and measurement principle analysis. Int Arch Photogramm
Remote Sens Spat Inf Sci 36:14–18
Tighe ML (2012) Empirical assessment of multi-wavelength synthetic aperture radar for land
cover and canopy height estimation. Carleton University, Ottawa
Tighe ML, King D, Balzter H, McNairn H, Tighe ML, Balzter H, McNairn H (2009) Comparison
of X/C-HH InSAR and L-PolInSAR for canopy height estimation in a lodgepole pine forest.
In: Proceedings of 4th international workshop on science and applications of SAR polarimetry
and polarimetric interferometry, (4) pp 26–30
Timothy D, Onisimo M, Cletah S, Adelabu S, Tsitsi B (2016) Remote sensing of aboveground
forest biomass: a review. Trop Ecol 57:125–132
Tiner RW, Lang MW, Klemas VV (2014) Remote sensing of wetlands: applications and advances.
Geosci Remote Sens, IEEE Trans. https://doi.org/10.1109/TGRS.1983.350471
Touzi R (2007) Target scattering decomposition in terms of roll-invariant target parameters. IEEE
Trans Geosci Remote Sens 45:73–84. https://doi.org/10.1109/TGRS.2006.886176
Touzi R, Deschamps ARG (2007) Wetland characterization using polarimetric RADARSAT-2
capability. Can J Remote Sens 33:56–67
Townshend JR, Justice CO, Skole D, Malingreau JP, Cihlar J, Teillet P, Sadowski F, Ruttenberg
S (1994) The 1 km resolution global data set: needs of the international geosphere biosphere
programme! Int J Remote Sens 15:3417–3441. https://doi.org/10.1080/01431169408954338
Treuhaft RN, Law BE, Asner GP (2004) Forest attributes from radar interferometric structure and its fusion with optical remote sensing. Bioscience 54:561. https://doi.
org/10.1641/0006-3568(2004)054[0561:FAFRIS]2.0.CO;2
Türke M, Feldmann R, Fürst B, Hartmann H, Herrmann M, Klotz S, Mathias G, Meldau S,
Ottenbreit M, Reth S, Schäder M, Trogisch S, Buscot F, Eisenhauer N (2017) Multitrophische
Biodiversitätsmanipulation unter kontrollierten Umweltbedingungen im iDiv Ecotron. In:
Multitrophische Biodiversitätsmanipulation Unter Kontrollierten Umweltbedingungen Im IDiv
Ecotron pp 107–114
Turner W, Spector S, Gardiner N, Fladeland M, Sterling E, Steininger M (2003) Remote sensing for biodiversity science and conservation. Trends Ecol Evol. https://doi.org/10.1016/
S0169-5347(03)00070-3
Ulaby F, Held D, Donson M, McDonald KA, Senior T (1987) Relating polaization phase difference of SAR signals to scene properties. IEEE Trans Geosci Remote Sens GE-25:83–92.
https://doi.org/10.1109/TGRS.1987.289784
Ustin SL, Gamon JA (2010) Remote sensing of plant functional types. New Phytol 186:795–816.
https://doi.org/10.1111/j.1469-8137.2010.03284.x
Vaglio GL, Pirotti F, Callegari M, Chen Q, Cuozzo G, Lingua E, Notarnicola C, Papale D (2017)
Potential of ALOS2 and NDVI to estimate forest above-ground biomass, and comparison with
lidar-derived estimates. Remote Sens 9. https://doi.org/10.3390/rs9010018
van der Sanden JJ, Hoekman DH (1999) Potential of airborne radar to support the assessment of
land cover in a tropical rain forest environment. Remote Sens Environ 68:26–40. https://doi.
org/10.1016/S0034-4257(98)00099-6
van Zyl JJ (1989) Unsupervised classification of scattering behavior using radar polarimetry data.
IEEE Trans Geosci Remote Sens 27:36–45. https://doi.org/10.1109/36.20273
Varghese AO, Suryavanshi A, Joshi AK, Varghese AO, Suryavanshi A, Joshi AK (2016) Analysis
of different polarimetric target decomposition methods in forest density classification using C
band SAR data. Int J Remote Sens 37:694–709. https://doi.org/10.1080/01431161.2015.1136
448
Virlet N, Costes E, Martinez S, Kelner JJ, Regnard JL (2015) Multispectral airborne imagery in
the field reveals genetic determinisms of morphological and transpiration traits of an apple
tree hybrid population in response to water deficit. J Exp Bot 66:5453–5465. https://doi.
org/10.1093/jxb/erv355
A. Lausch et al.
Thapa RB, Shimada M, Watanabe M, Motohka T, Shiraishi T (2013) The tropical forest in south
East Asia: monitoring and scenario modeling using synthetic aperture radar data. Appl Geogr
41:168–178. https://doi.org/10.1016/j.apgeog.2013.04.009
Thiel K, Wehr A (2004) An overview and measurement principle analysis. Int Arch Photogramm
Remote Sens Spat Inf Sci 36:14–18
Tighe ML (2012) Empirical assessment of multi-wavelength synthetic aperture radar for land
cover and canopy height estimation. Carleton University, Ottawa
Tighe ML, King D, Balzter H, McNairn H, Tighe ML, Balzter H, McNairn H (2009) Comparison
of X/C-HH InSAR and L-PolInSAR for canopy height estimation in a lodgepole pine forest.
In: Proceedings of 4th international workshop on science and applications of SAR polarimetry
and polarimetric interferometry, (4) pp 26–30
Timothy D, Onisimo M, Cletah S, Adelabu S, Tsitsi B (2016) Remote sensing of aboveground
forest biomass: a review. Trop Ecol 57:125–132
Tiner RW, Lang MW, Klemas VV (2014) Remote sensing of wetlands: applications and advances.
Geosci Remote Sens, IEEE Trans. https://doi.org/10.1109/TGRS.1983.350471
Touzi R (2007) Target scattering decomposition in terms of roll-invariant target parameters. IEEE
Trans Geosci Remote Sens 45:73–84. https://doi.org/10.1109/TGRS.2006.886176
Touzi R, Deschamps ARG (2007) Wetland characterization using polarimetric RADARSAT-2
capability. Can J Remote Sens 33:56–67
Townshend JR, Justice CO, Skole D, Malingreau JP, Cihlar J, Teillet P, Sadowski F, Ruttenberg
S (1994) The 1 km resolution global data set: needs of the international geosphere biosphere
programme! Int J Remote Sens 15:3417–3441. https://doi.org/10.1080/01431169408954338
Treuhaft RN, Law BE, Asner GP (2004) Forest attributes from radar interferometric structure and its fusion with optical remote sensing. Bioscience 54:561. https://doi.
org/10.1641/0006-3568(2004)054[0561:FAFRIS]2.0.CO;2
Türke M, Feldmann R, Fürst B, Hartmann H, Herrmann M, Klotz S, Mathias G, Meldau S,
Ottenbreit M, Reth S, Schäder M, Trogisch S, Buscot F, Eisenhauer N (2017) Multitrophische
Biodiversitätsmanipulation unter kontrollierten Umweltbedingungen im iDiv Ecotron. In:
Multitrophische Biodiversitätsmanipulation Unter Kontrollierten Umweltbedingungen Im IDiv
Ecotron pp 107–114
Turner W, Spector S, Gardiner N, Fladeland M, Sterling E, Steininger M (2003) Remote sensing for biodiversity science and conservation. Trends Ecol Evol. https://doi.org/10.1016/
S0169-5347(03)00070-3
Ulaby F, Held D, Donson M, McDonald KA, Senior T (1987) Relating polaization phase difference of SAR signals to scene properties. IEEE Trans Geosci Remote Sens GE-25:83–92.
https://doi.org/10.1109/TGRS.1987.289784
Ustin SL, Gamon JA (2010) Remote sensing of plant functional types. New Phytol 186:795–816.
https://doi.org/10.1111/j.1469-8137.2010.03284.x
Vaglio GL, Pirotti F, Callegari M, Chen Q, Cuozzo G, Lingua E, Notarnicola C, Papale D (2017)
Potential of ALOS2 and NDVI to estimate forest above-ground biomass, and comparison with
lidar-derived estimates. Remote Sens 9. https://doi.org/10.3390/rs9010018
van der Sanden JJ, Hoekman DH (1999) Potential of airborne radar to support the assessment of
land cover in a tropical rain forest environment. Remote Sens Environ 68:26–40. https://doi.
org/10.1016/S0034-4257(98)00099-6
van Zyl JJ (1989) Unsupervised classification of scattering behavior using radar polarimetry data.
IEEE Trans Geosci Remote Sens 27:36–45. https://doi.org/10.1109/36.20273
Varghese AO, Suryavanshi A, Joshi AK, Varghese AO, Suryavanshi A, Joshi AK (2016) Analysis
of different polarimetric target decomposition methods in forest density classification using C
band SAR data. Int J Remote Sens 37:694–709. https://doi.org/10.1080/01431161.2015.1136
448
Virlet N, Costes E, Martinez S, Kelner JJ, Regnard JL (2015) Multispectral airborne imagery in
the field reveals genetic determinisms of morphological and transpiration traits of an apple
tree hybrid population in response to water deficit. J Exp Bot 66:5453–5465. https://doi.
org/10.1093/jxb/erv355
A. Lausch et al.