339
Green JL, Bohannan JM, Whitaker RJ, Bohannan BJM, Whitaker RJ (2008) Microbial biogeography: from taxonomy to traits. Science 320:1039–1043. https://doi.org/10.1126/science.1153475
Großkinsky DK, Pieruschka R, Svensgaard J, Rascher U, Christensen S, Schurr U, Roitsch T
(2015a) Phenotyping in the fields: dissecting the genetics of quantitative traits and digital farming. New Phytol 207:950–952. https://doi.org/10.1111/nph.13529
Großkinsky DK, Svensgaard J, Christensen SRT (2015b) Plant phenomics and the need for physiological phenotyping across scales to narrow the genotype-to-phenotype knowledge gap. J Exp
Bot 66:5429–5440
Häme T, Rauste Y, Antropov O, Ahola H a, Kilpi J (2013) Improved mapping of tropical forests
with optical estimation. Sel Top Appl Earth Obs Remote Sens IEEE J 6:92–101. https://doi.
org/10.1109/JSTARS.2013.2241020
Hantsch L, Braun U, Scherer-Lorenzen M, Bruelheide H (2013) Species richness and species identity effects on occurrence of foliar fungal pathogens in a tree diversity experiment. Ecosphere
4:art 81. https://doi.org/10.1890/es13-00103.1
Hardin PJ, Jackson MW (2005) An unmanned aerial vehicle for rangeland photography. Rangel
Ecol Manag. https://doi.org/10.2111/1551-5028(2005)058[0439:AUAVFR]2.0.CO;2
Hart JK, Martinez K (2006) Environmental sensor networks: a revolution in the Earth system science? Earth-Sci Rev 78:177–191. https://doi.org/10.1016/j.earscirev.2006.05.001
Hector A, Philipson C, Saner P, Chamagne J, Dzulkifli D, O’Brien M, Snaddon JL, Ulok P,
Weilenmann M, Reynolds G, Godfray HCJ (2011) The Sabah biodiversity experiment: a longterm test of the role of tree diversity in restoring tropical forest structure and functioning. Philos
Trans R Soc B Biol Sci 366:3303–3315. https://doi.org/10.1098/rstb.2011.0094
Henderson FM, Lewis AJ (1998) Principles and applications of imaging radar. Manual of remote
sensing, vol 2. Wiley, New York
Heurich M (2008) Automatic recognition and measurement of single trees based on data from airborne laser scanning over the richly structured natural forests of the Bavarian Forest National
Park. For Ecol Manag 255:2416–2433. https://doi.org/10.1016/j.foreco.2008.01.022
Heurich M, Thoma F (2008) Estimation of forestry stand parameters using laser scanning data
in temperate, structurally rich natural European beech (Fagus sylvatica) and Norway spruce
(Picea abies) forests. Forestry 81:645–661. https://doi.org/10.1093/forestry/cpn038
Hoffmann H, Nieto H, Jensen R, Guzinski R, Zarco-Tejada P, Friborg T (2016) Estimating evaporation with thermal UAV data and two-source energy balance models. Hydrol Earth Syst Sci
20:697–713. https://doi.org/10.5194/hess-20-697-2016
Homolová L, Maenovsky Z, Clevers JGPW, Garcia-Santos G, Schaepman ME (2013) Review
of optical-based remote sensing for plant trait mapping. Ecol Complex 15:1–16. https://doi.
org/10.1016/j.ecocom.2013.06.003
Hong SH, Wdowinski S (2014) Double-bounce component in cross-polarimetric SAR from a new
scattering target decomposition. IEEE Trans Geosci Remote Sens 52:3039–3051. https://doi.
org/10.1109/TGRS.2013.2268853
Hong S, Kim H, Wdowinski S, Feliciano E (2015) Evaluation of polarimetric SAR decomposition
for classifying wetland vegetation types. Remote Sens 7:8563–8585. https://doi.org/10.3390/
rs70708563
Hwang J, Shin C, Yoe H (2010) Study on an agricultural environment monitoring server system
using wireless sensor networks. Sensors 10:11189–11211. https://doi.org/10.3390/s101211189
Imhoff ML, Sisk TD, Milne A, Morgan G, Orr T (1997) Remotely sensed indicators of habitat
heterogeneity: use of synthetic aperture radar in mapping vegetation structure and bird habitat.
Remote Sens Environ 60:217–227. https://doi.org/10.1016/S0034-4257(96)00116-2
Jansen M, Gilmer F, Biskup B, Nagel KA, Rascher U, Fischbach A, Briem S, Dreissen G, Tittmann
S, Braun S, De Jaeger I, Metzlaff M, Schurr U, Scharr H, Walter A (2009) Simultaneous phenotyping of leaf growth and chlorophyll fluorescence via Growscreen Fluoro allows detection of
stress tolerance in Arabidopsis thaliana and other rosette plants. Funct Plant Biol 36:902–914.
https://doi.org/10.1071/FP09095
13 A Range of Earth Observation Techniques for Assessing Plant Diversity
Green JL, Bohannan JM, Whitaker RJ, Bohannan BJM, Whitaker RJ (2008) Microbial biogeography: from taxonomy to traits. Science 320:1039–1043. https://doi.org/10.1126/science.1153475
Großkinsky DK, Pieruschka R, Svensgaard J, Rascher U, Christensen S, Schurr U, Roitsch T
(2015a) Phenotyping in the fields: dissecting the genetics of quantitative traits and digital farming. New Phytol 207:950–952. https://doi.org/10.1111/nph.13529
Großkinsky DK, Svensgaard J, Christensen SRT (2015b) Plant phenomics and the need for physiological phenotyping across scales to narrow the genotype-to-phenotype knowledge gap. J Exp
Bot 66:5429–5440
Häme T, Rauste Y, Antropov O, Ahola H a, Kilpi J (2013) Improved mapping of tropical forests
with optical estimation. Sel Top Appl Earth Obs Remote Sens IEEE J 6:92–101. https://doi.
org/10.1109/JSTARS.2013.2241020
Hantsch L, Braun U, Scherer-Lorenzen M, Bruelheide H (2013) Species richness and species identity effects on occurrence of foliar fungal pathogens in a tree diversity experiment. Ecosphere
4:art 81. https://doi.org/10.1890/es13-00103.1
Hardin PJ, Jackson MW (2005) An unmanned aerial vehicle for rangeland photography. Rangel
Ecol Manag. https://doi.org/10.2111/1551-5028(2005)058[0439:AUAVFR]2.0.CO;2
Hart JK, Martinez K (2006) Environmental sensor networks: a revolution in the Earth system science? Earth-Sci Rev 78:177–191. https://doi.org/10.1016/j.earscirev.2006.05.001
Hector A, Philipson C, Saner P, Chamagne J, Dzulkifli D, O’Brien M, Snaddon JL, Ulok P,
Weilenmann M, Reynolds G, Godfray HCJ (2011) The Sabah biodiversity experiment: a longterm test of the role of tree diversity in restoring tropical forest structure and functioning. Philos
Trans R Soc B Biol Sci 366:3303–3315. https://doi.org/10.1098/rstb.2011.0094
Henderson FM, Lewis AJ (1998) Principles and applications of imaging radar. Manual of remote
sensing, vol 2. Wiley, New York
Heurich M (2008) Automatic recognition and measurement of single trees based on data from airborne laser scanning over the richly structured natural forests of the Bavarian Forest National
Park. For Ecol Manag 255:2416–2433. https://doi.org/10.1016/j.foreco.2008.01.022
Heurich M, Thoma F (2008) Estimation of forestry stand parameters using laser scanning data
in temperate, structurally rich natural European beech (Fagus sylvatica) and Norway spruce
(Picea abies) forests. Forestry 81:645–661. https://doi.org/10.1093/forestry/cpn038
Hoffmann H, Nieto H, Jensen R, Guzinski R, Zarco-Tejada P, Friborg T (2016) Estimating evaporation with thermal UAV data and two-source energy balance models. Hydrol Earth Syst Sci
20:697–713. https://doi.org/10.5194/hess-20-697-2016
Homolová L, Maenovsky Z, Clevers JGPW, Garcia-Santos G, Schaepman ME (2013) Review
of optical-based remote sensing for plant trait mapping. Ecol Complex 15:1–16. https://doi.
org/10.1016/j.ecocom.2013.06.003
Hong SH, Wdowinski S (2014) Double-bounce component in cross-polarimetric SAR from a new
scattering target decomposition. IEEE Trans Geosci Remote Sens 52:3039–3051. https://doi.
org/10.1109/TGRS.2013.2268853
Hong S, Kim H, Wdowinski S, Feliciano E (2015) Evaluation of polarimetric SAR decomposition
for classifying wetland vegetation types. Remote Sens 7:8563–8585. https://doi.org/10.3390/
rs70708563
Hwang J, Shin C, Yoe H (2010) Study on an agricultural environment monitoring server system
using wireless sensor networks. Sensors 10:11189–11211. https://doi.org/10.3390/s101211189
Imhoff ML, Sisk TD, Milne A, Morgan G, Orr T (1997) Remotely sensed indicators of habitat
heterogeneity: use of synthetic aperture radar in mapping vegetation structure and bird habitat.
Remote Sens Environ 60:217–227. https://doi.org/10.1016/S0034-4257(96)00116-2
Jansen M, Gilmer F, Biskup B, Nagel KA, Rascher U, Fischbach A, Briem S, Dreissen G, Tittmann
S, Braun S, De Jaeger I, Metzlaff M, Schurr U, Scharr H, Walter A (2009) Simultaneous phenotyping of leaf growth and chlorophyll fluorescence via Growscreen Fluoro allows detection of
stress tolerance in Arabidopsis thaliana and other rosette plants. Funct Plant Biol 36:902–914.
https://doi.org/10.1071/FP09095
13 A Range of Earth Observation Techniques for Assessing Plant Diversity