메뉴 건너뛰기




Volumn 108, Issue , 2015, Pages 245-259

Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance

Author keywords

Barley; Hyperspectral digital surface model; Image frame camera; Precision agriculture; Quality assurance; Radiometric calibration

Indexed keywords

AGRICULTURE; AMPHIBIOUS VEHICLES; CALIBRATION; GEOMETRY; QUALITY ASSURANCE; RADIOMETRY; UNMANNED AERIAL VEHICLES (UAV); VEGETATION;

EID: 84941263991     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2015.08.002     Document Type: Article
Times cited : (402)

References (89)
  • 1
    • 84924238245 scopus 로고    scopus 로고
    • Introduction and preliminary results of a calibration for full-frame hyperspectral cameras to monitor agricultural crops with UAVs
    • XL-7, 2014 ISPRS Tech. Comm. VII Symp. XL, 8
    • Aasen, H., Bendig, J., Bolten, A., Bennertz, S., Willkomm, M., Bareth, G., 2014. Introduction and preliminary results of a calibration for full-frame hyperspectral cameras to monitor agricultural crops with UAVs. In: Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. XL-7, 2014 ISPRS Tech. Comm. VII Symp. XL, 8. doi: doi:10.5194/isprsarchives-XL-7-1-2014.
    • (2014) In: Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci
    • Aasen, H.1    Bendig, J.2    Bolten, A.3    Bennertz, S.4    Willkomm, M.5    Bareth, G.6
  • 2
    • 84904738647 scopus 로고    scopus 로고
    • Automated hyperspectral vegetation index retrieval from multiple correlation matrices with HyperCor
    • Aasen H., Gnyp M.L., Miao Y., Bareth G. Automated hyperspectral vegetation index retrieval from multiple correlation matrices with HyperCor. Photogramm. Eng. Remote Sens. 2014, 80:785-795. 10.14358/PERS.80.8.785.
    • (2014) Photogramm. Eng. Remote Sens. , vol.80 , pp. 785-795
    • Aasen, H.1    Gnyp, M.L.2    Miao, Y.3    Bareth, G.4
  • 3
    • 84957894098 scopus 로고    scopus 로고
    • Agisoft PhotoScan User Manual: Professional Edition, version 1.0.
    • Agisoft LLC, 2014. Agisoft PhotoScan User Manual: Professional Edition, version 1.0.
    • (2014)
  • 4
    • 84992292989 scopus 로고    scopus 로고
    • Agisoft PhotoScan Change Log [WWW Document] 06.10.15.
    • Agisoft LLC, 2015. Agisoft PhotoScan Change Log [WWW Document] (Accessed 06.10.15). http://www.agisoft.com/pdf/photoscan_changelog.pdf.
    • (2015)
  • 5
    • 84898634853 scopus 로고    scopus 로고
    • Urban tree species mapping using hyperspectral and lidar data fusion
    • Alonzo M., Bookhagen B., Roberts D.a. Urban tree species mapping using hyperspectral and lidar data fusion. Remote Sens. Environ. 2014, 148:70-83. 10.1016/j.rse.2014.03.018.
    • (2014) Remote Sens. Environ. , vol.148 , pp. 70-83
    • Alonzo, M.1    Bookhagen, B.2    Roberts, D.3
  • 6
    • 84874788283 scopus 로고    scopus 로고
    • Advances in remote sensing of agriculture: context description, existing operational monitoring systems and major information needs
    • Atzberger C. Advances in remote sensing of agriculture: context description, existing operational monitoring systems and major information needs. Remote Sens. 2013, 10.3390/rs5020949.
    • (2013) Remote Sens.
    • Atzberger, C.1
  • 7
    • 77955054225 scopus 로고    scopus 로고
    • Comparative analysis of three chemometric techniques for the spectroradiometric assessment of canopy chlorophyll content in winter wheat
    • Atzberger C., Guérif M., Baret F., Werner W. Comparative analysis of three chemometric techniques for the spectroradiometric assessment of canopy chlorophyll content in winter wheat. Comput. Electron. Agric. 2010, 73:165-173. 10.1016/j.compag.2010.05.006.
    • (2010) Comput. Electron. Agric. , vol.73 , pp. 165-173
    • Atzberger, C.1    Guérif, M.2    Baret, F.3    Werner, W.4
  • 8
    • 84920877503 scopus 로고    scopus 로고
    • Coregistration refinement of hyperspectral images and DSM: an object-based approach using spectral information
    • Avbelj J., Iwaszczuk D., Müller R., Reinartz P., Stilla U. Coregistration refinement of hyperspectral images and DSM: an object-based approach using spectral information. ISPRS J. Photogramm. Remote Sens. 2014, 10.1016/j.isprsjprs.2014.05.010.
    • (2014) ISPRS J. Photogramm. Remote Sens.
    • Avbelj, J.1    Iwaszczuk, D.2    Müller, R.3    Reinartz, P.4    Stilla, U.5
  • 9
    • 84923268614 scopus 로고    scopus 로고
    • Low-weight and UAV-based hyperspectral full-frame cameras for monitoring crops: spectral comparison with portable spectroradiometer measurements
    • Bareth G., Aasen H., Bendig J., Gnyp M.L., Bolten A., Jung A., Michels R., Soukkamäki J. Low-weight and UAV-based hyperspectral full-frame cameras for monitoring crops: spectral comparison with portable spectroradiometer measurements. Photogramm. - Fernerkundung - Geoinf. 2015, 2015:69-79. 10.1127/pfg/2015/0256.
    • (2015) Photogramm. - Fernerkundung - Geoinf. , vol.2015 , pp. 69-79
    • Bareth, G.1    Aasen, H.2    Bendig, J.3    Gnyp, M.L.4    Bolten, A.5    Jung, A.6    Michels, R.7    Soukkamäki, J.8
  • 10
    • 84979504703 scopus 로고    scopus 로고
    • Feasibility study of using non-calibrated UAV-based RGB imagery for grassland monitoring : case study at the Rengen Long-term Grassland Experiment (RGE), Germany
    • 24/2015. Cologne, pp.
    • Bareth, G., Bolten, A., Hollberg, J., Aasen, H., Burkart, A., Schellberg, J., 2015. Feasibility study of using non-calibrated UAV-based RGB imagery for grassland monitoring : case study at the Rengen Long-term Grassland Experiment (RGE), Germany. In: DGPF Tagungsband 24/2015. Cologne, pp. 1-7.
    • (2015) DGPF Tagungsband , pp. 1-7
    • Bareth, G.1    Bolten, A.2    Hollberg, J.3    Aasen, H.4    Burkart, A.5    Schellberg, J.6
  • 11
    • 84892621633 scopus 로고    scopus 로고
    • UAV-based Imaging for multi-temporal, very high resolution crop surface models to monitor crop growth variability
    • Bendig J., Bolten A., Bareth G. UAV-based Imaging for multi-temporal, very high resolution crop surface models to monitor crop growth variability. Photogramm. - Fernerkundung - Geoinf. 2013, 2013:551-562. 10.1127/1432-8364/2013/0200.
    • (2013) Photogramm. - Fernerkundung - Geoinf. , vol.2013 , pp. 551-562
    • Bendig, J.1    Bolten, A.2    Bareth, G.3
  • 12
    • 84912124929 scopus 로고    scopus 로고
    • Estimating biomass of barley using crop surface models (CSMs) derived from UAV-based RGB imaging
    • Bendig J., Bolten A., Bennertz S., Broscheit J., Eichfuss S., Bareth G. Estimating biomass of barley using crop surface models (CSMs) derived from UAV-based RGB imaging. Remote Sens. 2014, 6:10395-10412. 10.3390/rs61110395.
    • (2014) Remote Sens. , vol.6 , pp. 10395-10412
    • Bendig, J.1    Bolten, A.2    Bennertz, S.3    Broscheit, J.4    Eichfuss, S.5    Bareth, G.6
  • 13
    • 84939454114 scopus 로고    scopus 로고
    • Combining UAV-based plant height from crop surface models visible and near infrared vegetation indices for biomass monitoring in barley
    • Bendig J., Yu K., Aasen H., Bolten A., Bennertz S., Broscheit J., Gnyp M.L., Bareth G. Combining UAV-based plant height from crop surface models visible and near infrared vegetation indices for biomass monitoring in barley. Int. J. Appl. Earth Obs. Geoinf. 2015, 10.1016/j.jag.2015.02.012.
    • (2015) Int. J. Appl. Earth Obs. Geoinf.
    • Bendig, J.1    Yu, K.2    Aasen, H.3    Bolten, A.4    Bennertz, S.5    Broscheit, J.6    Gnyp, M.L.7    Bareth, G.8
  • 14
    • 61349186319 scopus 로고    scopus 로고
    • Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle
    • Berni J., Zarco-Tejada P.J., Suarez L., Fereres E. Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle. IEEE Trans. Geosci. Remote Sens. 2009, 47:722-738. 10.1109/TGRS.2008.2010457.
    • (2009) IEEE Trans. Geosci. Remote Sens. , vol.47 , pp. 722-738
    • Berni, J.1    Zarco-Tejada, P.J.2    Suarez, L.3    Fereres, E.4
  • 15
    • 0002636509 scopus 로고
    • Determination of chlorophyll using DMSO
    • Blanke M. Determination of chlorophyll using DMSO. Wein-Wissenschaft 1992, 47:32-35.
    • (1992) Wein-Wissenschaft , vol.47 , pp. 32-35
    • Blanke, M.1
  • 16
    • 84979937191 scopus 로고    scopus 로고
    • Angular dependency of hyperspectral measurements over wheat characterized by a novel UAV based goniometer
    • Burkart A., Aasen H., Alonso L., Menz G., Bareth G., Rascher U. Angular dependency of hyperspectral measurements over wheat characterized by a novel UAV based goniometer. Remote Sens. 2015, 7:725-746. 10.3390/rs70100725.
    • (2015) Remote Sens. , vol.7 , pp. 725-746
    • Burkart, A.1    Aasen, H.2    Alonso, L.3    Menz, G.4    Bareth, G.5    Rascher, U.6
  • 17
    • 84887755825 scopus 로고    scopus 로고
    • A novel UAV-based ultra-light weight spectrometer for field spectroscopy
    • Burkart A., Cogliati S., Schickling A., Rascher U. A novel UAV-based ultra-light weight spectrometer for field spectroscopy. IEEE Sens. J. 2014, 14:62-67. 10.1109/JSEN.2013.2279720.
    • (2014) IEEE Sens. J. , vol.14 , pp. 62-67
    • Burkart, A.1    Cogliati, S.2    Schickling, A.3    Rascher, U.4
  • 18
    • 84902159044 scopus 로고    scopus 로고
    • Hyperspectral remote sensing with the UAS "Stuttgarter Adler" - system setup, calibration and first results
    • Büttner A., Röser H.-P. Hyperspectral remote sensing with the UAS "Stuttgarter Adler" - system setup, calibration and first results. Photogramm. - Fernerkundung - Geoinf. 2014, 2014:265-274. 10.1127/1432-8364/2014/0217.
    • (2014) Photogramm. - Fernerkundung - Geoinf. , vol.2014 , pp. 265-274
    • Büttner, A.1    Röser, H.-P.2
  • 19
    • 80052609457 scopus 로고    scopus 로고
    • Estimation of tropical rain forest aboveground biomass with small-footprint lidar and hyperspectral sensors
    • Clark M.L., Roberts D.A., Ewel J.J., Clark D.B. Estimation of tropical rain forest aboveground biomass with small-footprint lidar and hyperspectral sensors. Remote Sens. Environ. 2011, 115:2931-2942. 10.1016/j.rse.2010.08.029.
    • (2011) Remote Sens. Environ. , vol.115 , pp. 2931-2942
    • Clark, M.L.1    Roberts, D.A.2    Ewel, J.J.3    Clark, D.B.4
  • 20
    • 84897562134 scopus 로고    scopus 로고
    • Unmanned aerial systems for photogrammetry and remote sensing: a review
    • Colomina I., Molina P. Unmanned aerial systems for photogrammetry and remote sensing: a review. ISPRS J. Photogramm. Remote Sens. 2014, 10.1016/j.isprsjprs.2014.02.013.
    • (2014) ISPRS J. Photogramm. Remote Sens.
    • Colomina, I.1    Molina, P.2
  • 21
    • 84860407983 scopus 로고    scopus 로고
    • Remote sensing of vegetation structure using computer vision
    • Dandois J.P., Ellis E.C. Remote sensing of vegetation structure using computer vision. Remote Sens. 2010, 2:1157-1176. 10.3390/rs2041157.
    • (2010) Remote Sens. , vol.2 , pp. 1157-1176
    • Dandois, J.P.1    Ellis, E.C.2
  • 22
    • 34249099341 scopus 로고    scopus 로고
    • Detection of biotic stress (Venturia inaequalis) in apple trees using hyperspectral data: Non-parametric statistical approaches and physiological implications
    • Delalieux S., van Aardt J., Keulemans W., Schrevens E., Coppin P. Detection of biotic stress (Venturia inaequalis) in apple trees using hyperspectral data: Non-parametric statistical approaches and physiological implications. Eur. J. Agron. 2007, 27:130-143. 10.1016/j.eja.2007.02.005.
    • (2007) Eur. J. Agron. , vol.27 , pp. 130-143
    • Delalieux, S.1    van Aardt, J.2    Keulemans, W.3    Schrevens, E.4    Coppin, P.5
  • 23
    • 84892987748 scopus 로고    scopus 로고
    • Automatic identification of agricultural terraces through object-oriented analysis of very high resolution DSMs and multispectral imagery obtained from an unmanned aerial vehicle
    • Diaz-Varela R.A., Zarco-Tejada P.J., Angileri V., Loudjani P. Automatic identification of agricultural terraces through object-oriented analysis of very high resolution DSMs and multispectral imagery obtained from an unmanned aerial vehicle. J. Environ. Manage. 2014, 134:117-126. 10.1016/j.jenvman.2014.01.006.
    • (2014) J. Environ. Manage. , vol.134 , pp. 117-126
    • Diaz-Varela, R.A.1    Zarco-Tejada, P.J.2    Angileri, V.3    Loudjani, P.4
  • 24
    • 79961127280 scopus 로고    scopus 로고
    • Comparison of active and passive spectral sensors in discriminating biomass parameters and nitrogen status in wheat cultivars
    • Erdle K., Mistele B., Schmidhalter U. Comparison of active and passive spectral sensors in discriminating biomass parameters and nitrogen status in wheat cultivars. F. Crop. Res. 2011, 124:74-84. 10.1016/j.fcr.2011.06.007.
    • (2011) F. Crop. Res. , vol.124 , pp. 74-84
    • Erdle, K.1    Mistele, B.2    Schmidhalter, U.3
  • 27
    • 2342650235 scopus 로고    scopus 로고
    • Refinement of wavelength calibrations of hyperspectral imaging data using a spectrum-matching technique
    • Gao B.C., Montes M.J., Davis C.O. Refinement of wavelength calibrations of hyperspectral imaging data using a spectrum-matching technique. Remote Sens. Environ. 2004, 90:424-433. 10.1016/j.rse.2003.09.002.
    • (2004) Remote Sens. Environ. , vol.90 , pp. 424-433
    • Gao, B.C.1    Montes, M.J.2    Davis, C.O.3
  • 28
    • 84912137635 scopus 로고    scopus 로고
    • Combined spectral and spatial modeling of corn yield based on aerial images and crop surface models acquired with an unmanned aircraft system
    • Geipel J., Link J., Claupein W. Combined spectral and spatial modeling of corn yield based on aerial images and crop surface models acquired with an unmanned aircraft system. Remote Sens. 2014, 6:10335-10355. 10.3390/rs61110335.
    • (2014) Remote Sens. , vol.6 , pp. 10335-10355
    • Geipel, J.1    Link, J.2    Claupein, W.3
  • 29
    • 84888199590 scopus 로고    scopus 로고
    • Hyperspectral canopy sensing of paddy rice aboveground biomass at different growth stages
    • Gnyp M.L., Miao Y., Yuan F., Ustin S.L., Yu K., Yao Y., Huang S., Bareth G. Hyperspectral canopy sensing of paddy rice aboveground biomass at different growth stages. F. Crop. Res. 2014, 155:42-55. 10.1016/j.fcr.2013.09.023.
    • (2014) F. Crop. Res. , vol.155 , pp. 42-55
    • Gnyp, M.L.1    Miao, Y.2    Yuan, F.3    Ustin, S.L.4    Yu, K.5    Yao, Y.6    Huang, S.7    Bareth, G.8
  • 30
    • 84885168887 scopus 로고    scopus 로고
    • Analysis of crop reflectance for estimating biomass in rice canopies at different phenological stages
    • Gnyp M.L., Yu K., Aasen H., Yao Y., Huang S., Miao Y., Bareth C.G. Analysis of crop reflectance for estimating biomass in rice canopies at different phenological stages. Photogramm. - Fernerkundung - Geoinf. 2013, 2013:351-365. 10.1127/1432-8364/2013/0182.
    • (2013) Photogramm. - Fernerkundung - Geoinf. , vol.2013 , pp. 351-365
    • Gnyp, M.L.1    Yu, K.2    Aasen, H.3    Yao, Y.4    Huang, S.5    Miao, Y.6    Bareth, C.G.7
  • 31
    • 67650234021 scopus 로고    scopus 로고
    • Remote sensing of environment three decades of hyperspectral remote sensing of the earth: a personal view
    • Goetz A.F.H. Remote sensing of environment three decades of hyperspectral remote sensing of the earth: a personal view. Remote Sens. Environ. 2009, 113:5-16. 10.1016/j.rse.2007.12.014.
    • (2009) Remote Sens. Environ. , vol.113 , pp. 5-16
    • Goetz, A.F.H.1
  • 33
    • 78049528821 scopus 로고    scopus 로고
    • Vignette and exposure calibration and compensation
    • Goldman D.B. Vignette and exposure calibration and compensation. IEEE Trans. Pattern Anal. Mach. Intell. 2010, 32:2276-2288. 10.1109/TPAMI.2010.55.
    • (2010) IEEE Trans. Pattern Anal. Mach. Intell. , vol.32 , pp. 2276-2288
    • Goldman, D.B.1
  • 35
    • 0036323544 scopus 로고    scopus 로고
    • Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture
    • Haboudane D., Miller J.R., Tremblay N., Zarco-Tejada P.J., Dextraze L. Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture. Remote Sens. Environ. 2002, 81:416-426. 10.1016/S0034-4257(02)00018-4.
    • (2002) Remote Sens. Environ. , vol.81 , pp. 416-426
    • Haboudane, D.1    Miller, J.R.2    Tremblay, N.3    Zarco-Tejada, P.J.4    Dextraze, L.5
  • 36
    • 84867314208 scopus 로고    scopus 로고
    • Snapshot advantage: a review of the light collection improvement for parallel high-dimensional measurement systems
    • Hagen N. Snapshot advantage: a review of the light collection improvement for parallel high-dimensional measurement systems. Opt. Eng. 2012, 10.1117/1.OE.51.11.111702).
    • (2012) Opt. Eng.
    • Hagen, N.1
  • 38
    • 0141792270 scopus 로고    scopus 로고
    • Reflectance measurement of canopy biomass and nitrogen status in wheat crops using normalized difference vegetation indices and partial least squares regression
    • Hansen P.M., Schjoerring J.K. Reflectance measurement of canopy biomass and nitrogen status in wheat crops using normalized difference vegetation indices and partial least squares regression. Remote Sens. Environ. 2003, 86:542-553. 10.1016/S0034-4257(03)00131-7.
    • (2003) Remote Sens. Environ. , vol.86 , pp. 542-553
    • Hansen, P.M.1    Schjoerring, J.K.2
  • 39
    • 84865008271 scopus 로고    scopus 로고
    • Assessing the accuracy of georeferenced point clouds produced via multi-view stereopsis from unmanned aerial vehicle (UAV) imagery
    • Harwin S., Lucieer A. Assessing the accuracy of georeferenced point clouds produced via multi-view stereopsis from unmanned aerial vehicle (UAV) imagery. Remote Sens. 2012, 4:1573-1599. 10.3390/rs4061573.
    • (2012) Remote Sens. , vol.4 , pp. 1573-1599
    • Harwin, S.1    Lucieer, A.2
  • 41
    • 84883756068 scopus 로고    scopus 로고
    • Salt marsh elevation and habitat mapping using hyperspectral and LIDAR data
    • Hladik C., Schalles J., Alber M. Salt marsh elevation and habitat mapping using hyperspectral and LIDAR data. Remote Sens. Environ. 2013, 139:318-330. 10.1016/j.rse.2013.08.003.
    • (2013) Remote Sens. Environ. , vol.139 , pp. 318-330
    • Hladik, C.1    Schalles, J.2    Alber, M.3
  • 42
    • 78650340818 scopus 로고    scopus 로고
    • High resolution crop surface models (CSM) and crop volume models (CVM) on field level by terrestrial laser scanning.
    • 7840, 78400E-78400E-6
    • Hoffmeister, D., Bolten, A., Curdt, C., Waldhoff, G., Bareth, G., 2010. High resolution crop surface models (CSM) and crop volume models (CVM) on field level by terrestrial laser scanning. In: SPIE Proc. 7840, 78400E-78400E-6. doi: doi:10.1117/12.872315.
    • (2010) SPIE Proc.
    • Hoffmeister, D.1    Bolten, A.2    Curdt, C.3    Waldhoff, G.4    Bareth, G.5
  • 43
    • 84887537551 scopus 로고    scopus 로고
    • Processing and assessment of spectrometric, stereoscopic imagery collected using a lightweight UAV spectral camera for precision agriculture
    • Honkavaara E., Saari H., Kaivosoja J., Pölönen I., Hakala T., Litkey P., Mäkynen J., Pesonen L. Processing and assessment of spectrometric, stereoscopic imagery collected using a lightweight UAV spectral camera for precision agriculture. Remote Sens. 2013, 5:5006-5039. 10.3390/rs5105006.
    • (2013) Remote Sens. , vol.5 , pp. 5006-5039
    • Honkavaara, E.1    Saari, H.2    Kaivosoja, J.3    Pölönen, I.4    Hakala, T.5    Litkey, P.6    Mäkynen, J.7    Pesonen, L.8
  • 44
    • 84870717321 scopus 로고    scopus 로고
    • Radiometric and geometric analysis of hyperspectral imagery acquired from an unmanned aerial vehicle
    • Hruska R., Mitchell J., Anderson M., Glenn N.F. Radiometric and geometric analysis of hyperspectral imagery acquired from an unmanned aerial vehicle. Remote Sens. 2012, 4:2736-2752. 10.3390/rs4092736.
    • (2012) Remote Sens. , vol.4 , pp. 2736-2752
    • Hruska, R.1    Mitchell, J.2    Anderson, M.3    Glenn, N.F.4
  • 45
    • 60249089956 scopus 로고    scopus 로고
    • The spectral database SPECCHIO for improved long-term usability and data sharing
    • Hueni A., Nieke J., Schopfer J., Kneubühler M., Itten K.I. The spectral database SPECCHIO for improved long-term usability and data sharing. Comput. Geosci. 2009, 35:557-565. 10.1016/j.cageo.2008.03.015.
    • (2009) Comput. Geosci. , vol.35 , pp. 557-565
    • Hueni, A.1    Nieke, J.2    Schopfer, J.3    Kneubühler, M.4    Itten, K.I.5
  • 46
  • 49
    • 32444451010 scopus 로고    scopus 로고
    • Hyperspectral NIR image regression part I: calibration and correction
    • James Burger P.G. Hyperspectral NIR image regression part I: calibration and correction. J. Chemom. 2005, 19:355-363. 10.1002/cem.938.
    • (2005) J. Chemom. , vol.19 , pp. 355-363
    • James Burger, P.G.1
  • 50
    • 84870707226 scopus 로고    scopus 로고
    • Sensor correction of a 6-band multispectral imaging sensor for UAV remote sensing
    • Kelcey J., Lucieer A. Sensor correction of a 6-band multispectral imaging sensor for UAV remote sensing. Remote Sens. 2012, 4:1462-1493. 10.3390/rs4051462.
    • (2012) Remote Sens. , vol.4 , pp. 1462-1493
    • Kelcey, J.1    Lucieer, A.2
  • 51
    • 42449143097 scopus 로고    scopus 로고
    • Robust radiometric calibration and vignetting correction
    • Kim S.J., Pollefeys M. Robust radiometric calibration and vignetting correction. IEEE Trans. Pattern Anal. Mach. Intell. 2008, 30:562-576. 10.1109/TPAMI.2007.70732.
    • (2008) IEEE Trans. Pattern Anal. Mach. Intell. , vol.30 , pp. 562-576
    • Kim, S.J.1    Pollefeys, M.2
  • 52
    • 78249231399 scopus 로고    scopus 로고
    • Status and future of laser scanning, synthetic aperture radar and hyperspectral remote sensing data for forest biomass assessment
    • Koch B. Status and future of laser scanning, synthetic aperture radar and hyperspectral remote sensing data for forest biomass assessment. ISPRS J. Photogramm. Remote Sens. 2010, 65:581-590. 10.1016/j.isprsjprs.2010.09.001.
    • (2010) ISPRS J. Photogramm. Remote Sens. , vol.65 , pp. 581-590
    • Koch, B.1
  • 53
    • 79959283134 scopus 로고    scopus 로고
    • Dark signal temperature dependence correction method for miniature spectrometer modules
    • Kuusk J. Dark signal temperature dependence correction method for miniature spectrometer modules. J. Sensors 2011, 2011:1-9. 10.1155/2011/608157.
    • (2011) J. Sensors , vol.2011 , pp. 1-9
    • Kuusk, J.1
  • 54
    • 77954145922 scopus 로고    scopus 로고
    • Evaluating hyperspectral vegetation indices for estimating nitrogen concentration of winter wheat at different growth stages
    • Li F., Miao Y., Hennig S.D., Gnyp M.L., Chen X., Jia L., Bareth G. Evaluating hyperspectral vegetation indices for estimating nitrogen concentration of winter wheat at different growth stages. Precis. Agric. 2010, 11:335-357. 10.1007/s11119-010-9165-6.
    • (2010) Precis. Agric. , vol.11 , pp. 335-357
    • Li, F.1    Miao, Y.2    Hennig, S.D.3    Gnyp, M.L.4    Chen, X.5    Jia, L.6    Bareth, G.7
  • 55
    • 84902287000 scopus 로고    scopus 로고
    • HyperUAS-imaging spectroscopy from a multirotor unmanned aircraft system
    • Lucieer A., Malenovský Z., Veness T., Wallace L. HyperUAS-imaging spectroscopy from a multirotor unmanned aircraft system. J. F. Robot. 2014, 31:571-590. 10.1002/rob.21508.
    • (2014) J. F. Robot. , vol.31 , pp. 571-590
    • Lucieer, A.1    Malenovský, Z.2    Veness, T.3    Wallace, L.4
  • 56
    • 84867638367 scopus 로고    scopus 로고
    • Remote sensing of environment development of spectral indices for detecting and identifying plant diseases
    • Mahlein A., Rumpf T., Welke P., Dehne H., Plümer L., Steiner U., Oerke E. Remote sensing of environment development of spectral indices for detecting and identifying plant diseases. Remote Sens. Environ. 2013, 128:21-30. 10.1016/j.rse.2012.09.019.
    • (2013) Remote Sens. Environ. , vol.128 , pp. 21-30
    • Mahlein, A.1    Rumpf, T.2    Welke, P.3    Dehne, H.4    Plümer, L.5    Steiner, U.6    Oerke, E.7
  • 57
    • 17444370083 scopus 로고    scopus 로고
    • Development of a protocol for CCD calibration: application to a multispectral imaging system
    • 10.2316/Journal.206.2005.2.206-2784
    • Mansouri A., Marzani F.S., Gouton P. Development of a protocol for CCD calibration: application to a multispectral imaging system. Int. J. Robot. Autom. 2005, 10.2316/Journal.206.2005.2.206-2784.
    • (2005) Int. J. Robot. Autom.
    • Mansouri, A.1    Marzani, F.S.2    Gouton, P.3
  • 58
    • 84940529751 scopus 로고    scopus 로고
    • Developing in situ non-destructive estimates of crop biomass to address issues of scale in remote sensing
    • 10.3390/rs70100808
    • Marshall M., Thenkabail P. Developing in situ non-destructive estimates of crop biomass to address issues of scale in remote sensing. Remote Sens. 2015, 808-835. 10.3390/rs70100808.
    • (2015) Remote Sens. , pp. 808-835
    • Marshall, M.1    Thenkabail, P.2
  • 60
    • 84887105216 scopus 로고    scopus 로고
    • Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps
    • Mulla D.J. Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps. Biosyst. Eng. 2013, 114:358-371. 10.1016/j.biosystemseng.2012.08.009.
    • (2013) Biosyst. Eng. , vol.114 , pp. 358-371
    • Mulla, D.J.1
  • 61
    • 84928718366 scopus 로고    scopus 로고
    • The leaf angle distribution of natural plant populations: assessing the canopy with a novel software tool
    • Müller-Linow M., Pinto-Espinosa F., Scharr H., Rascher U. The leaf angle distribution of natural plant populations: assessing the canopy with a novel software tool. Plant Methods 2015, 11:1-16. 10.1186/s13007-015-0052-z.
    • (2015) Plant Methods , vol.11 , pp. 1-16
    • Müller-Linow, M.1    Pinto-Espinosa, F.2    Scharr, H.3    Rascher, U.4
  • 63
    • 84876508277 scopus 로고    scopus 로고
    • A simple method to estimate radiation interception by nursery stock conifers: a case study of eastern white cedar
    • Pronk A.A., Goudriaan J., Stilma E., Challa H. A simple method to estimate radiation interception by nursery stock conifers: a case study of eastern white cedar. NJAS - Wageningen J. Life Sci. 2003, 51:279-295. 10.1016/S1573-5214(03)80020-9.
    • (2003) NJAS - Wageningen J. Life Sci. , vol.51 , pp. 279-295
    • Pronk, A.A.1    Goudriaan, J.2    Stilma, E.3    Challa, H.4
  • 64
    • 84898065914 scopus 로고    scopus 로고
    • Airborne hyperspectral images and ground-level optical sensors as assessment tools for maize nitrogen fertilization
    • Quemada M., Gabriel J., Zarco-Tejada P. Airborne hyperspectral images and ground-level optical sensors as assessment tools for maize nitrogen fertilization. Remote Sens. 2014, 6:2940-2962. 10.3390/rs6042940.
    • (2014) Remote Sens. , vol.6 , pp. 2940-2962
    • Quemada, M.1    Gabriel, J.2    Zarco-Tejada, P.3
  • 65
    • 33746874411 scopus 로고    scopus 로고
    • Image-based 3D modelling: a review
    • Remondino F., El-Hakim S. Image-based 3D modelling: a review. Photogramm. Rec. 2006, 21:269-291. 10.1111/j.1477-9730.2006.00383.x.
    • (2006) Photogramm. Rec. , vol.21 , pp. 269-291
    • Remondino, F.1    El-Hakim, S.2
  • 66
    • 0029751226 scopus 로고    scopus 로고
    • Optimization of soil-adjusted vegetation indices
    • Rondeaux G., Steven M., Baret F. Optimization of soil-adjusted vegetation indices. Remote Sens. Environ. 1996, 55:95-107. 10.1016/0034-4257(95)00186-7.
    • (1996) Remote Sens. Environ. , vol.55 , pp. 95-107
    • Rondeaux, G.1    Steven, M.2    Baret, F.3
  • 67
    • 0028975409 scopus 로고
    • Estimating PAR absorbed by vegetation from bidirectional reflectance measurements
    • Roujean J.-L., Breon F.-M. Estimating PAR absorbed by vegetation from bidirectional reflectance measurements. Remote Sens. Environ. 1995, 51:375-384. 10.1016/0034-4257(94)00114-3.
    • (1995) Remote Sens. Environ. , vol.51 , pp. 375-384
    • Roujean, J.-L.1    Breon, F.-M.2
  • 71
    • 0032732676 scopus 로고    scopus 로고
    • The use of the empirical line method to calibrate remotely sensed data to reflectance
    • Smith G.M., Milton E.J. The use of the empirical line method to calibrate remotely sensed data to reflectance. Int. J. Remote Sens. 1999, 20:2653-2662. 10.1080/014311699211994.
    • (1999) Int. J. Remote Sens. , vol.20 , pp. 2653-2662
    • Smith, G.M.1    Milton, E.J.2
  • 72
    • 84861817585 scopus 로고    scopus 로고
    • Monitoring water stress and fruit quality in an orange orchard under regulated deficit irrigation using narrow-band structural and physiological remote sensing indices
    • Stagakis S., González-Dugo V., Cid P., Guillén-Climent M.L., Zarco-Tejada P.J. Monitoring water stress and fruit quality in an orange orchard under regulated deficit irrigation using narrow-band structural and physiological remote sensing indices. ISPRS J. Photogramm. Remote Sens. 2012, 71:47-61. 10.1016/j.isprsjprs.2012.05.003.
    • (2012) ISPRS J. Photogramm. Remote Sens. , vol.71 , pp. 47-61
    • Stagakis, S.1    González-Dugo, V.2    Cid, P.3    Guillén-Climent, M.L.4    Zarco-Tejada, P.J.5
  • 73
    • 0344201919 scopus 로고    scopus 로고
    • An experimental investigation of the lodging of wheat
    • Sterling M., Baker C., Berry P., Wade A. An experimental investigation of the lodging of wheat. Agric. For. Meteorol. 2003, 119:149-165. 10.1016/S0168-1923(03)00140-0.
    • (2003) Agric. For. Meteorol. , vol.119 , pp. 149-165
    • Sterling, M.1    Baker, C.2    Berry, P.3    Wade, A.4
  • 76
    • 80052631826 scopus 로고    scopus 로고
    • Mapping biomass and stress in the Sierra Nevada using lidar and hyperspectral data fusion
    • Swatantran A., Dubayah R., Roberts D., Hofton M., Blair J.B. Mapping biomass and stress in the Sierra Nevada using lidar and hyperspectral data fusion. Remote Sens. Environ. 2011, 115:2917-2930. 10.1016/j.rse.2010.08.027.
    • (2011) Remote Sens. Environ. , vol.115 , pp. 2917-2930
    • Swatantran, A.1    Dubayah, R.2    Roberts, D.3    Hofton, M.4    Blair, J.B.5
  • 78
    • 84870673267 scopus 로고    scopus 로고
    • Advances in hyperspectral remote sensing of vegetation and agricultural crops
    • CRC Press- Taylor and Francis Group, Boca Raton, London, New York, P.S. Thenkabail, J.G. Lyon, A. Huete (Eds.)
    • Thenkabail P.S., Lyon J.G., Huete A. Advances in hyperspectral remote sensing of vegetation and agricultural crops. Hyperspectral Remote Sensing of Vegetation 2011, 3-29. CRC Press- Taylor and Francis Group, Boca Raton, London, New York. P.S. Thenkabail, J.G. Lyon, A. Huete (Eds.).
    • (2011) Hyperspectral Remote Sensing of Vegetation , pp. 3-29
    • Thenkabail, P.S.1    Lyon, J.G.2    Huete, A.3
  • 79
    • 0033970477 scopus 로고    scopus 로고
    • Hyperspectral vegetation indices and their relationships with agricultural crop characteristics
    • Thenkabail P.S., Smith R.B., De Pauw E. Hyperspectral vegetation indices and their relationships with agricultural crop characteristics. Remote Sens. Environ. 2000, 71:158-182. 10.1016/S0034-4257(99)00067-X.
    • (2000) Remote Sens. Environ. , vol.71 , pp. 158-182
    • Thenkabail, P.S.1    Smith, R.B.2    De Pauw, E.3
  • 80
    • 84941307322 scopus 로고    scopus 로고
    • Fusion of plant height and vegetation indices for estimating barley biomass
    • (submitted for publication).
    • Tilly, N., Aasen, H., Bareth, G., n.d. Fusion of plant height and vegetation indices for estimating barley biomass. MDPI Remote Sens. J., (submitted for publication).
    • MDPI Remote Sens. J.
    • Tilly, N.1    Aasen, H.2    Bareth, G.3
  • 81
    • 84896285330 scopus 로고    scopus 로고
    • Multitemporal crop surface models: accurate plant height measurement and biomass estimation with terrestrial laser scanning in paddy rice
    • Tilly N., Hoffmeister D., Cao Q., Huang S., Lenz-Wiedemann V., Miao Y., Bareth G. Multitemporal crop surface models: accurate plant height measurement and biomass estimation with terrestrial laser scanning in paddy rice. J. Appl. Remote Sens. 2014, 8:083671. 10.1117/1.JRS.8.083671.
    • (2014) J. Appl. Remote Sens. , vol.8 , pp. 083671
    • Tilly, N.1    Hoffmeister, D.2    Cao, Q.3    Huang, S.4    Lenz-Wiedemann, V.5    Miao, Y.6    Bareth, G.7
  • 82
    • 84896315948 scopus 로고    scopus 로고
    • Direct georeferencing of ultrahigh-resolution UAV imagery
    • Turner D., Lucieer A., Wallace L. Direct georeferencing of ultrahigh-resolution UAV imagery. IEEE Trans. Geosci. Remote Sens. 2014, 52:2738-2745. 10.1109/TGRS.2013.2265295.
    • (2014) IEEE Trans. Geosci. Remote Sens. , vol.52 , pp. 2738-2745
    • Turner, D.1    Lucieer, A.2    Wallace, L.3
  • 83
    • 84920749069 scopus 로고    scopus 로고
    • Deploying four optical UAV-based sensors over grassland: challenges and limitations
    • Von Bueren S., Burkart A., Hueni A., Rascher U., Tuohy M., Yule I. Deploying four optical UAV-based sensors over grassland: challenges and limitations. Biogeosciences 2015, 10.5194/bg-12-163-2015.
    • (2015) Biogeosciences
    • Von Bueren, S.1    Burkart, A.2    Hueni, A.3    Rascher, U.4    Tuohy, M.5    Yule, I.6
  • 84
    • 84893414571 scopus 로고    scopus 로고
    • Investigation of leaf diseases and estimation of chlorophyll concentration in seven barley varieties using fluorescence and hyperspectral indices
    • Yu K., Leufen G., Hunsche M., Noga G., Chen X., Bareth G. Investigation of leaf diseases and estimation of chlorophyll concentration in seven barley varieties using fluorescence and hyperspectral indices. Remote Sens. 2013, 6:64-86. 10.3390/rs6010064.
    • (2013) Remote Sens. , vol.6 , pp. 64-86
    • Yu, K.1    Leufen, G.2    Hunsche, M.3    Noga, G.4    Chen, X.5    Bareth, G.6
  • 85
    • 84874562558 scopus 로고    scopus 로고
    • Remotely detecting canopy nitrogen concentration and uptake of paddy rice in the Northeast China Plain
    • Yu K., Li F., Gnyp M.L., Miao Y., Bareth G., Chen X. Remotely detecting canopy nitrogen concentration and uptake of paddy rice in the Northeast China Plain. ISPRS J. Photogramm. Remote Sens. 2013, 78:102-115. 10.1016/j.isprsjprs.2013.01.008.
    • (2013) ISPRS J. Photogramm. Remote Sens. , vol.78 , pp. 102-115
    • Yu, K.1    Li, F.2    Gnyp, M.L.3    Miao, Y.4    Bareth, G.5    Chen, X.6
  • 86
    • 11344288145 scopus 로고    scopus 로고
    • Practical anti-vignetting methods for digital cameras
    • Yu W. Practical anti-vignetting methods for digital cameras. IEEE Trans. Consum. Electron. 2004, 50:975-983. 10.1109/TCE.2004.1362487.
    • (2004) IEEE Trans. Consum. Electron. , vol.50 , pp. 975-983
    • Yu, W.1
  • 87
    • 27644598352 scopus 로고    scopus 로고
    • Assessing vineyard condition with hyperspectral indices: leaf and canopy reflectance simulation in a row-structured discontinuous canopy
    • Zarco-Tejada P.J., Berjon A., Lopezlozano R., Miller J., Martin P., Cachorro V., Gonzalez M., Defrutos A. Assessing vineyard condition with hyperspectral indices: leaf and canopy reflectance simulation in a row-structured discontinuous canopy. Remote Sens. Environ. 2005, 99:271-287. 10.1016/j.rse.2005.09.002.
    • (2005) Remote Sens. Environ. , vol.99 , pp. 271-287
    • Zarco-Tejada, P.J.1    Berjon, A.2    Lopezlozano, R.3    Miller, J.4    Martin, P.5    Cachorro, V.6    Gonzalez, M.7    Defrutos, A.8
  • 88
    • 84897618276 scopus 로고    scopus 로고
    • Tree height quantification using very high resolution imagery acquired from an unmanned aerial vehicle (UAV) and automatic 3D photo-reconstruction methods
    • Zarco-Tejada P.J., Diaz-Varela R., Angileri V., Loudjani P. Tree height quantification using very high resolution imagery acquired from an unmanned aerial vehicle (UAV) and automatic 3D photo-reconstruction methods. Eur. J. Agron. 2014, 55:89-99. 10.1016/j.eja.2014.01.004.
    • (2014) Eur. J. Agron. , vol.55 , pp. 89-99
    • Zarco-Tejada, P.J.1    Diaz-Varela, R.2    Angileri, V.3    Loudjani, P.4
  • 89
    • 84855428733 scopus 로고    scopus 로고
    • Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera
    • Zarco-Tejada P.J., González-Dugo V., Berni J.A.J. Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera. Remote Sens. Environ. 2012, 117:322-337. 10.1016/j.rse.2011.10.007.
    • (2012) Remote Sens. Environ. , vol.117 , pp. 322-337
    • Zarco-Tejada, P.J.1    González-Dugo, V.2    Berni, J.A.J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.