345
Rosell JRR, Sanz R (2012) A review of methods and applications of the geometric characterization of tree crops in agricultural activities. Comput Electron Agric 81:124–141. https://doi.
org/10.1016/j.compag.2011.09.007
Ruiz-Garcia L, Lunadei L, Barreiro P, Robla JI (2009) A review of wireless sensor technologies
and applications in agriculture and food industry: state of the art and current trends. Sensors
(Basel) 9:4728–4750. https://doi.org/10.3390/s90604728
Saarinen N, Vastaranta M, Rosnell T, Hakala T, Honkavaara E, Wulder MA, Luoma V, Imai NN,
Ribeiro EAW, Holopainen M, Survey NL, Centre PF, Canada NR, Columbia B, Sensing R,
Ecology F, Mensuration F, Inventory F (2017) UAV-based photogrammetric point clouds and
hyperspectral imaging for mapping biodiversity indicators in boreal forests. XLII: 25–27.
https://doi.org/10.5194/isprs-archives-XLII-3-W3-171-2017
Santos JR, Freitas CC, Araujo LS, Dutra LV, Mura JC, Gama FF, Soler LS, Sant’Anna SJS,
Sant’Anna SJS (2003) Airborne P-band SAR applied to the aboveground biomass studies in
the Brazilian tropical rainforest. Remote Sens Environ 87:482–493. https://doi.org/10.1016/j.
rse.2002.12.001
Scherer-Lorenzen M, Schulze ED, Don A, Schumacher J, Weller E (2007) Exploring the functional significance of forest diversity: a new long-term experiment with temperate tree
species (BIOTREE). Perspect Plant Ecol Evol Syst 9:53–70. https://doi.org/10.1016/j.
ppees.2007.08.002
Schmidtlein S (2005) Imaging spectroscopy as a tool for mapping Ellenberg indicator values. J
Appl Ecol 42:966–974. https://doi.org/10.1111/j.1365-2664.2005.01064.x
Schmidtlein S, Feilhauer H, Bruelheide H (2012) Mapping plant strategy types using remote sensing. J Veg Sci 23:395–405. https://doi.org/10.1111/j.1654-1103.2011.01370.x
Schutz BE, Zwally HJ, Shuman CA, Hancock D, DiMarzio JP (2005) Overview of the ICESat
mission. Geophys Res Lett 32:1–4. https://doi.org/10.1029/2005GL024009
Schweiger AK, Cavender-Bares J, Townsend PA, Hobbie SE, Madritch MD, Wang R, Tilman
D, Gamon JA (2018) Plant spectral diversity integrates functional and phylogenetic components of biodiversity and predicts ecosystem function. Nat Ecol Evol 2:976–982. https://doi.
org/10.1038/s41559-018-0551-1
Simard M, Saatchi SS, De Grandi G (2000) The use of decision tree and multiscale texture for classification of JERS-1 SAR data over tropical forest. IEEE Trans Geosci Remote Sens 38:2310–
2321. https://doi.org/10.1109/36.868888
Sithole G, Vosselman G (2004) Experimental comparison of filter algorithms for bare-Earth extraction from airborne laser scanning point clouds. ISPRS J Photogramm Remote Sens 59:85–101.
https://doi.org/10.1016/j.isprsjprs.2004.05.004
Stoll M, Jones HG (2007) Thermal imaging as a viable tool for monitoring plant stress. J Int des
Sci la Vigne du Vin 41:77–84
Sun G, Ranson KJ (1995) A three-dimensional radar backscatter model of forest canopies. IEEE
Trans Geosci Remote Sens 33(2):372
Sun L, Schulz K (2015) The improvement of land cover classification by thermal remote sensing.
Remote Sens 7:8368–8390. https://doi.org/10.3390/rs70708368
Tanase MA, Kennedy R, Aponte C (2015) Radar burn ratio for fire severity estimation at canopy level: an example for temperate forests. Remote Sens Environ 170:14–31. https://doi.
org/10.1016/j.rse.2015.08.025
Tang SJ, Dong PL, Buckles BP (2013) Three-dimensional surface reconstruction of tree canopy
from lidar point clouds using a region-based level set method. Int J Remote Sens 34:1373–
1385. https://doi.org/10.1080/01431161.2012.720046
Teodoro GS, Eller CB, Pereira L, Brum Jr M, Oliveira RS (2016) Interplay between stomatal regulation capacity, hydraulic traits and growth performance in three shrub species in a
tropical montane scrubland under contrasting water availability. In: Proceedings of the soilplant- atmosphere interactions in a tropical montane cloud forest. Emerging issues in tropical
ecohydrology, 2016 – AGU CHAPMAN conference, Cuenca, Ecuador, 5–9. June 2016, contrasting water availability
13 A Range of Earth Observation Techniques for Assessing Plant Diversity
Rosell JRR, Sanz R (2012) A review of methods and applications of the geometric characterization of tree crops in agricultural activities. Comput Electron Agric 81:124–141. https://doi.
org/10.1016/j.compag.2011.09.007
Ruiz-Garcia L, Lunadei L, Barreiro P, Robla JI (2009) A review of wireless sensor technologies
and applications in agriculture and food industry: state of the art and current trends. Sensors
(Basel) 9:4728–4750. https://doi.org/10.3390/s90604728
Saarinen N, Vastaranta M, Rosnell T, Hakala T, Honkavaara E, Wulder MA, Luoma V, Imai NN,
Ribeiro EAW, Holopainen M, Survey NL, Centre PF, Canada NR, Columbia B, Sensing R,
Ecology F, Mensuration F, Inventory F (2017) UAV-based photogrammetric point clouds and
hyperspectral imaging for mapping biodiversity indicators in boreal forests. XLII: 25–27.
https://doi.org/10.5194/isprs-archives-XLII-3-W3-171-2017
Santos JR, Freitas CC, Araujo LS, Dutra LV, Mura JC, Gama FF, Soler LS, Sant’Anna SJS,
Sant’Anna SJS (2003) Airborne P-band SAR applied to the aboveground biomass studies in
the Brazilian tropical rainforest. Remote Sens Environ 87:482–493. https://doi.org/10.1016/j.
rse.2002.12.001
Scherer-Lorenzen M, Schulze ED, Don A, Schumacher J, Weller E (2007) Exploring the functional significance of forest diversity: a new long-term experiment with temperate tree
species (BIOTREE). Perspect Plant Ecol Evol Syst 9:53–70. https://doi.org/10.1016/j.
ppees.2007.08.002
Schmidtlein S (2005) Imaging spectroscopy as a tool for mapping Ellenberg indicator values. J
Appl Ecol 42:966–974. https://doi.org/10.1111/j.1365-2664.2005.01064.x
Schmidtlein S, Feilhauer H, Bruelheide H (2012) Mapping plant strategy types using remote sensing. J Veg Sci 23:395–405. https://doi.org/10.1111/j.1654-1103.2011.01370.x
Schutz BE, Zwally HJ, Shuman CA, Hancock D, DiMarzio JP (2005) Overview of the ICESat
mission. Geophys Res Lett 32:1–4. https://doi.org/10.1029/2005GL024009
Schweiger AK, Cavender-Bares J, Townsend PA, Hobbie SE, Madritch MD, Wang R, Tilman
D, Gamon JA (2018) Plant spectral diversity integrates functional and phylogenetic components of biodiversity and predicts ecosystem function. Nat Ecol Evol 2:976–982. https://doi.
org/10.1038/s41559-018-0551-1
Simard M, Saatchi SS, De Grandi G (2000) The use of decision tree and multiscale texture for classification of JERS-1 SAR data over tropical forest. IEEE Trans Geosci Remote Sens 38:2310–
2321. https://doi.org/10.1109/36.868888
Sithole G, Vosselman G (2004) Experimental comparison of filter algorithms for bare-Earth extraction from airborne laser scanning point clouds. ISPRS J Photogramm Remote Sens 59:85–101.
https://doi.org/10.1016/j.isprsjprs.2004.05.004
Stoll M, Jones HG (2007) Thermal imaging as a viable tool for monitoring plant stress. J Int des
Sci la Vigne du Vin 41:77–84
Sun G, Ranson KJ (1995) A three-dimensional radar backscatter model of forest canopies. IEEE
Trans Geosci Remote Sens 33(2):372
Sun L, Schulz K (2015) The improvement of land cover classification by thermal remote sensing.
Remote Sens 7:8368–8390. https://doi.org/10.3390/rs70708368
Tanase MA, Kennedy R, Aponte C (2015) Radar burn ratio for fire severity estimation at canopy level: an example for temperate forests. Remote Sens Environ 170:14–31. https://doi.
org/10.1016/j.rse.2015.08.025
Tang SJ, Dong PL, Buckles BP (2013) Three-dimensional surface reconstruction of tree canopy
from lidar point clouds using a region-based level set method. Int J Remote Sens 34:1373–
1385. https://doi.org/10.1080/01431161.2012.720046
Teodoro GS, Eller CB, Pereira L, Brum Jr M, Oliveira RS (2016) Interplay between stomatal regulation capacity, hydraulic traits and growth performance in three shrub species in a
tropical montane scrubland under contrasting water availability. In: Proceedings of the soilplant- atmosphere interactions in a tropical montane cloud forest. Emerging issues in tropical
ecohydrology, 2016 – AGU CHAPMAN conference, Cuenca, Ecuador, 5–9. June 2016, contrasting water availability
13 A Range of Earth Observation Techniques for Assessing Plant Diversity