62
Jhan, J.-P., Rau, J.-Y., Huang, C.-Y.: Band-to-band registration and ortho-rectification of multilens/
multispectral imagery: a case study of MiniMCA-12 acquired by a fixed-wing UAS. ISPRS
J. Photogramm. Remote Sens. 114, 66–77 (2016)
Ju, J., Roy, D.P., Vermote, E., Masek, J., Kovalskyy, V.: Continental-scale validation of MODISbased and LEDAPS Landsat ETM+ atmospheric correction methods. Remote Sens. Environ.
122, 175–184 (2012)
Krogager, E.: New decomposition of the radar target scattering matrix. Electron. Lett. 26(18),
1525–1527 (1990)
Lee, J.-S.: Speckle analysis and smoothing of synthetic aperture radar images. Comput. Graph.
Image Process. 17(1), 24–32 (1981)
Lillesand, T.M., Kiefer, R.W., Chipman, J.W.: Remote Sensing and Image Interpretation, 5th edn.
Wiley, Hoboken (2004)
Lucas, R., Armston, J., Fairfax, R., Fensham, R., Accad, A., Carreiras, J., Kelley, J., Bunting, P.,
Clewley, D., Bray, S., Metcalfe, D., Dwyer, J., Bowen, M., Eyre, T., Laidlaw, M., Shimada, M.:
An evaluation of the ALOS PALSAR L-Band backscatter – above ground biomass relationship
Queensland, Australia: impacts of surface moisture condition and vegetation structure. Sel.
Top. Appl. Earth Obs. Remote Sens. IEEE J. 3(4), 576–593 (2010)
Masek, J.G., Vermote, E.F., Saleous, N.E., Wolfe, R., Hall, F.G., Huemmrich, K.F., et al.: A
Landsat surface reflectance dataset for North America, 1990–2000. Geosci. Remote Sens. Lett.
IEEE. 3(1), 68–72 (2006)
Mongus, D., Zalik, B.: Parameter-free ground filtering of LiDAR data for automatic DTM generation. ISPRS J. Photogramm. Remote Sens. 67, 1–12 (2012)
Morsdorf, F., Kötz, B., Meier, E., Itten, K.I., Allgöwer, B.: Estimation of LAI and fractional cover
from small footprint airborne laser scanning data based on gap fraction. Remote Sens. Environ.
104(1), 50–61 (2006)
Nagol, J.R., Sexton, J.O., Kim, D.-H., Anand, A., Morton, D., Vermote, E., Townshend, J.R.:
Bidirectional effects in Landsat reflectance estimates: is there a problem to solve? ISPRS
J. Photogramm. Remote Sens. 103, 129–135 (2015)
Nelson, R., Krabill, W., Tonelli, J.: Estimating forest biomass and volume using airborne laser
data. Remote Sens. Environ. 24(2), 247–267 (1988)
Palace, M.W., Sullivan, F.B., Ducey, M.J., Treuhaft, R.N., Herrick, C., Shimbo, J.Z., Mota-E-Silva,
J.: Estimating forest structure in a tropical forest using field measurements, a synthetic model
and discrete return lidar data. Remote Sens. Environ. 161, 1–11 (2015)
Popescu, S.C.: Estimating biomass of individual pine trees using airborne lidar. Biomass Bioenergy.
31(9), 646–655 (2007)
Roy, D.P., Ju, J., Kline, K., Scaramuzza, P.L., Kovalskyy, V., Hansen, M., et al.: Web-enabled
Landsat Data (WELD): Landsat ETM+ composited mosaics of the conterminous United
States. Remote Sens. Environ. 114(1), 35–49 (2010)
Schlapfer, D., Richter, R.: Geo-atmospheric processing of airborne imaging spectrometry data.
Part 1: parametric orthorectification. Int. J. Remote Sens. 23(13), 2609–2630 (2002)
Schwind, P., Schneider, M., Palubinskas, G., Storch, T., Mueller, R., Richter, R.: Processors for
ALOS optical data: Deconvolution, DEM generation, Orthorectification, and atmospheric correction. Geosci. Remote Sens. IEEE Trans. 47(12), 4074–4082 (2009)
Shan, J., Toth, C.K.: Topographic Laser Ranging and Scanning: Principles and Processing. CRC
Press, Boca Raton (2009)
Smith, G.M., Milton, E.J.: The use of the empirical line method to calibrate remotely sensed data
to reflectance. Int. J. Remote Sens. 20, 2653–2662 (2010)
Trouve, E., Chambenoit, Y., Classeau, N., Bolon, P.: Statistical and operational performance
assessment of multitemporal SAR image filtering. Geosci. Remote Sens. IEEE Trans. 41(11),
2519–2530 (2003)
Vermote, E.F., Tanre, D., Deuze, J.L., Herman, M., Morcette, J.J.: Second simulation of the satellite signal in the solar Spectrum, 6S: an overview. Geosci. Remote Sens. IEEE Trans. 35(3),
675–686 (1997)
P. Bunting
Jhan, J.-P., Rau, J.-Y., Huang, C.-Y.: Band-to-band registration and ortho-rectification of multilens/
multispectral imagery: a case study of MiniMCA-12 acquired by a fixed-wing UAS. ISPRS
J. Photogramm. Remote Sens. 114, 66–77 (2016)
Ju, J., Roy, D.P., Vermote, E., Masek, J., Kovalskyy, V.: Continental-scale validation of MODISbased and LEDAPS Landsat ETM+ atmospheric correction methods. Remote Sens. Environ.
122, 175–184 (2012)
Krogager, E.: New decomposition of the radar target scattering matrix. Electron. Lett. 26(18),
1525–1527 (1990)
Lee, J.-S.: Speckle analysis and smoothing of synthetic aperture radar images. Comput. Graph.
Image Process. 17(1), 24–32 (1981)
Lillesand, T.M., Kiefer, R.W., Chipman, J.W.: Remote Sensing and Image Interpretation, 5th edn.
Wiley, Hoboken (2004)
Lucas, R., Armston, J., Fairfax, R., Fensham, R., Accad, A., Carreiras, J., Kelley, J., Bunting, P.,
Clewley, D., Bray, S., Metcalfe, D., Dwyer, J., Bowen, M., Eyre, T., Laidlaw, M., Shimada, M.:
An evaluation of the ALOS PALSAR L-Band backscatter – above ground biomass relationship
Queensland, Australia: impacts of surface moisture condition and vegetation structure. Sel.
Top. Appl. Earth Obs. Remote Sens. IEEE J. 3(4), 576–593 (2010)
Masek, J.G., Vermote, E.F., Saleous, N.E., Wolfe, R., Hall, F.G., Huemmrich, K.F., et al.: A
Landsat surface reflectance dataset for North America, 1990–2000. Geosci. Remote Sens. Lett.
IEEE. 3(1), 68–72 (2006)
Mongus, D., Zalik, B.: Parameter-free ground filtering of LiDAR data for automatic DTM generation. ISPRS J. Photogramm. Remote Sens. 67, 1–12 (2012)
Morsdorf, F., Kötz, B., Meier, E., Itten, K.I., Allgöwer, B.: Estimation of LAI and fractional cover
from small footprint airborne laser scanning data based on gap fraction. Remote Sens. Environ.
104(1), 50–61 (2006)
Nagol, J.R., Sexton, J.O., Kim, D.-H., Anand, A., Morton, D., Vermote, E., Townshend, J.R.:
Bidirectional effects in Landsat reflectance estimates: is there a problem to solve? ISPRS
J. Photogramm. Remote Sens. 103, 129–135 (2015)
Nelson, R., Krabill, W., Tonelli, J.: Estimating forest biomass and volume using airborne laser
data. Remote Sens. Environ. 24(2), 247–267 (1988)
Palace, M.W., Sullivan, F.B., Ducey, M.J., Treuhaft, R.N., Herrick, C., Shimbo, J.Z., Mota-E-Silva,
J.: Estimating forest structure in a tropical forest using field measurements, a synthetic model
and discrete return lidar data. Remote Sens. Environ. 161, 1–11 (2015)
Popescu, S.C.: Estimating biomass of individual pine trees using airborne lidar. Biomass Bioenergy.
31(9), 646–655 (2007)
Roy, D.P., Ju, J., Kline, K., Scaramuzza, P.L., Kovalskyy, V., Hansen, M., et al.: Web-enabled
Landsat Data (WELD): Landsat ETM+ composited mosaics of the conterminous United
States. Remote Sens. Environ. 114(1), 35–49 (2010)
Schlapfer, D., Richter, R.: Geo-atmospheric processing of airborne imaging spectrometry data.
Part 1: parametric orthorectification. Int. J. Remote Sens. 23(13), 2609–2630 (2002)
Schwind, P., Schneider, M., Palubinskas, G., Storch, T., Mueller, R., Richter, R.: Processors for
ALOS optical data: Deconvolution, DEM generation, Orthorectification, and atmospheric correction. Geosci. Remote Sens. IEEE Trans. 47(12), 4074–4082 (2009)
Shan, J., Toth, C.K.: Topographic Laser Ranging and Scanning: Principles and Processing. CRC
Press, Boca Raton (2009)
Smith, G.M., Milton, E.J.: The use of the empirical line method to calibrate remotely sensed data
to reflectance. Int. J. Remote Sens. 20, 2653–2662 (2010)
Trouve, E., Chambenoit, Y., Classeau, N., Bolon, P.: Statistical and operational performance
assessment of multitemporal SAR image filtering. Geosci. Remote Sens. IEEE Trans. 41(11),
2519–2530 (2003)
Vermote, E.F., Tanre, D., Deuze, J.L., Herman, M., Morcette, J.J.: Second simulation of the satellite signal in the solar Spectrum, 6S: an overview. Geosci. Remote Sens. IEEE Trans. 35(3),
675–686 (1997)
P. Bunting