318
Colomina, I., Molina, P.: Unmanned aerial systems for photogrammetry and remote sensing. A
review. ISPRS J. Photogrammetry Remote Sens. 92, 79–97 (2014)
Díaz-Delgado, R., Aragonés, D., Afán, I., Bustamante, J.: Long-Term Monitoring of the Flooding
Regime and Hydroperiod of Doñana Marshes with Landsat Time Series (1974–2014). Remote
Sens. 8, 775 (2016)
Farman, J.C., Gardiner, B.G., Shanklin, J.D.: Large losses of total ozone in Antarctica reveal seasonal ClO x /NO x interaction. Nature. 315, 207–210 (1985)
Hansen, M.C., Potapov, P.V., Moore, R., Hancher, M., Turubanova, S.A., Tyukavina, A., Thau, D.,
Stehman, S.V., Goetz, S.J., Loveland, T.R., Kommareddy, A., Egorov, A., Chini, L., Justice,
C.O., Townshend, J.R.G.: High-resolution global maps of 21st-century forest cover change.
Science. 342, 850–853 (2013). doi:10.1126/science.1244693
Jönsson, P., Eklundh, L.: TIMESAT—a program for analyzing time-series of satellite sensor data.
Comput. Geosci. 30, 833–845 (2004). doi:10.1016/j.cageo.2004.05.006
Lefsky, M.A.: A global forest canopy height map from the moderate resolution imaging spectroradiometer and the geo - science laser altimeter system. Geophys. Res. Lett. 37, L15401 (2010)
Lim, K., Treitz, P., Wulder, M., St-Onge, B., Flood, M.: Lidar remote sensing of forest structure.
Prog. Phys. Geogr. 27, 88–106 (2003)
Lucas, R., Mitchell, A.: Integrated land cover and change classifications. In: Díaz-Delgado, R.,
Lucas, R., Hurford, C. (eds.), The Roles of Remote Sensing in Nature Conservation. A Practical
Guide and Case Studies. Springer, Cham (2017)
Lucas, R.M., Bunting, P., Paterson, M., Chisholm, M.: Classification of Australian forest communities using aerial photography, CASI and HyMap data. Remote Sens. Environ. 112, 2088–
2103 (2008)
Mass, H.-G., Bienert, A., Scheller, S., Keane, E.: Automatic forest inventory parameter determination from terrestrial laser scanner data. Int. J. Remote Sens. 29, 1579–1593 (2008)
Morsdorf, F., Nichol, C., Malthus, T., Woodhouse, I.H.: Assessing forest structural and physiological information content of multi-spectral LiDAR waveforms by radiative transfer modelling.
Remote Sens. Environ. 113, 2152–2163 (2009)
Mueller, N., Lewis, A., Roberts, D., Ring, S., Melrose, R., Sixsmith, J., Lymburner, L., McIntyre,
A., Tan, P., Curnow, S., Ip, A.: Water observations from space: Mapping surface water from
25 years of Landsat imagery across Australia. Remote Sens. Environ. 174, 341–352 (2016)
Pekel, J., Cottam, A., Gorelick, N., Belward, A.S.: High-resolution mapping of global surface
water and its long-term changes. Nature. 540, 418–422 (2016)
Rignot, E., Kanagaratnam, P.: Changes in the velocity structure of the Greenland Ice Sheet.
Science. 311, 986–990 (2006)
Saatchi, S.S., Harris, N.L., Brown, S., Lefsky, M., Mitchard, E.T.A., Salas, W., Zutta, B.R.,
Buerman, W., Lewis, S.L., Hagen, S., Petrova, S., White, L., Silman, M., Morel, A.: Benchmark
map of forest carbon stocks in tropical regions across three continents. Proc. Natl. Acad. Sci.
U. S. A. 108(24), 9899–9904 (2011)
Setzer, A.W., Pereira, M.C.: Amazonia biomass burning in 1987 and an estimate of their tropospheric emissions. Ambio. 20, 19–22 (1991)
Strove, J., Holland, M.M., Meier, M., Scambos, T., Serreze, M.: Arctic sea ice decline: faster than
forecast. Geophysical Research Letters. 34(9), L09501 (2007)
Telling, J., Lyda, A., Hartzell, P., Glennie, C.: Review of earth science research using terrestrial
laser scanning. Earth Sci. Rev. 169, 35–68 (2017)
Verbesselt, J., Hyndman, R., Zeileis, A., Culvenor, D.: Phenological change detection while
accounting for abrupt and gradual trends in satellite image time series. Remote Sens. Environ.
114, 2970–2980 (2010)
Zhu, Z., Woodcock, C.E., Olofsson, P.: Monitoring of forest disturbance using all available Landsat
imagery. Remote Sens. Environ. 122, 75–91 (2012)
R. Lucas et al.
Colomina, I., Molina, P.: Unmanned aerial systems for photogrammetry and remote sensing. A
review. ISPRS J. Photogrammetry Remote Sens. 92, 79–97 (2014)
Díaz-Delgado, R., Aragonés, D., Afán, I., Bustamante, J.: Long-Term Monitoring of the Flooding
Regime and Hydroperiod of Doñana Marshes with Landsat Time Series (1974–2014). Remote
Sens. 8, 775 (2016)
Farman, J.C., Gardiner, B.G., Shanklin, J.D.: Large losses of total ozone in Antarctica reveal seasonal ClO x /NO x interaction. Nature. 315, 207–210 (1985)
Hansen, M.C., Potapov, P.V., Moore, R., Hancher, M., Turubanova, S.A., Tyukavina, A., Thau, D.,
Stehman, S.V., Goetz, S.J., Loveland, T.R., Kommareddy, A., Egorov, A., Chini, L., Justice,
C.O., Townshend, J.R.G.: High-resolution global maps of 21st-century forest cover change.
Science. 342, 850–853 (2013). doi:10.1126/science.1244693
Jönsson, P., Eklundh, L.: TIMESAT—a program for analyzing time-series of satellite sensor data.
Comput. Geosci. 30, 833–845 (2004). doi:10.1016/j.cageo.2004.05.006
Lefsky, M.A.: A global forest canopy height map from the moderate resolution imaging spectroradiometer and the geo - science laser altimeter system. Geophys. Res. Lett. 37, L15401 (2010)
Lim, K., Treitz, P., Wulder, M., St-Onge, B., Flood, M.: Lidar remote sensing of forest structure.
Prog. Phys. Geogr. 27, 88–106 (2003)
Lucas, R., Mitchell, A.: Integrated land cover and change classifications. In: Díaz-Delgado, R.,
Lucas, R., Hurford, C. (eds.), The Roles of Remote Sensing in Nature Conservation. A Practical
Guide and Case Studies. Springer, Cham (2017)
Lucas, R.M., Bunting, P., Paterson, M., Chisholm, M.: Classification of Australian forest communities using aerial photography, CASI and HyMap data. Remote Sens. Environ. 112, 2088–
2103 (2008)
Mass, H.-G., Bienert, A., Scheller, S., Keane, E.: Automatic forest inventory parameter determination from terrestrial laser scanner data. Int. J. Remote Sens. 29, 1579–1593 (2008)
Morsdorf, F., Nichol, C., Malthus, T., Woodhouse, I.H.: Assessing forest structural and physiological information content of multi-spectral LiDAR waveforms by radiative transfer modelling.
Remote Sens. Environ. 113, 2152–2163 (2009)
Mueller, N., Lewis, A., Roberts, D., Ring, S., Melrose, R., Sixsmith, J., Lymburner, L., McIntyre,
A., Tan, P., Curnow, S., Ip, A.: Water observations from space: Mapping surface water from
25 years of Landsat imagery across Australia. Remote Sens. Environ. 174, 341–352 (2016)
Pekel, J., Cottam, A., Gorelick, N., Belward, A.S.: High-resolution mapping of global surface
water and its long-term changes. Nature. 540, 418–422 (2016)
Rignot, E., Kanagaratnam, P.: Changes in the velocity structure of the Greenland Ice Sheet.
Science. 311, 986–990 (2006)
Saatchi, S.S., Harris, N.L., Brown, S., Lefsky, M., Mitchard, E.T.A., Salas, W., Zutta, B.R.,
Buerman, W., Lewis, S.L., Hagen, S., Petrova, S., White, L., Silman, M., Morel, A.: Benchmark
map of forest carbon stocks in tropical regions across three continents. Proc. Natl. Acad. Sci.
U. S. A. 108(24), 9899–9904 (2011)
Setzer, A.W., Pereira, M.C.: Amazonia biomass burning in 1987 and an estimate of their tropospheric emissions. Ambio. 20, 19–22 (1991)
Strove, J., Holland, M.M., Meier, M., Scambos, T., Serreze, M.: Arctic sea ice decline: faster than
forecast. Geophysical Research Letters. 34(9), L09501 (2007)
Telling, J., Lyda, A., Hartzell, P., Glennie, C.: Review of earth science research using terrestrial
laser scanning. Earth Sci. Rev. 169, 35–68 (2017)
Verbesselt, J., Hyndman, R., Zeileis, A., Culvenor, D.: Phenological change detection while
accounting for abrupt and gradual trends in satellite image time series. Remote Sens. Environ.
114, 2970–2980 (2010)
Zhu, Z., Woodcock, C.E., Olofsson, P.: Monitoring of forest disturbance using all available Landsat
imagery. Remote Sens. Environ. 122, 75–91 (2012)
R. Lucas et al.
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