Can commercial digital cameras be used as multispectral sensors? A crop monitoring test

Sensors

Volumn 8, Issue 11, 2008, Pages 7300-7322

  Lebourgeois, Valentine ^a   Bégué, Agnès ^b   Labbé, Sylvain ^b   Mallavan, Benjamin ^b   Prévot, Laurent ^c   Roux, Bruno ^d  

^a CIRAD   (France)

^b UMR TETIS   (France)

^c UMR LISAH   (France)

^d Avion Jaune   (France)

Author keywords

Airborne images; Crop monitoring; Digital camera; Radiometric correction; Spectral sensitivity; Vignetting

Indexed keywords

AIRBORNE IMAGES; CROP MONITORING; RADIOMETRIC CORRECTIONS; SPECTRAL SENSITIVITY; VIGNETTING;

CROPS; IMAGE PROCESSING; LIGHT; OPTICAL DATA PROCESSING; RADIOMETRY; SPECTROSCOPY; VIDEO CAMERAS;

DIGITAL CAMERAS;

EID: 56449094114     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s8117300     Document Type: Article

References (36)

1. Wee, A.G.; Lindsey, D.T.; Kuo, S.L.; Johnston, W.M. Color accuracy of commercial digital cameras for use in dentistry. Dent. Mater. 2006, 22, 553-559.
2. Stevens, M.; Parraga, C.A.; Cuthill, I.C.; Partridge, J.C.; Troscianko, T.S. Using digital photography to study animal coloration. Biol. J. Linn. Soc. 2007, 90, 211-237.
3. Cheung, V.; Westland, S.; Li, C.J.; Hardeberg, J.; Connab, D. Characterization of trichromatic color cameras by using a new multispectral imaging technique. J. Opt. Soc. Am. A.-Opt. Image Sci. Vis. 2005, 22, 1231-1240.
4. Jafri, M.Z.M.; Abdullah, K.; Lim, H.S.; Ismail, W.R. Mapping of total suspended solids in reservoir using images captured by a conventional digital camera from a low-altitude light aircraft. In Proceedings of SPIE's Third International Asia-Pacific Environment Remote Sensing Symposium, Hangzhou, China, 24-26 October 2003; pp. 320-325.
5. Lejot, J.; Delacourt, C.; Piegay, H.; Fournier, T.; Tremelo, M.L.; Allemand, P. Very high spatial resolution imagery for channel bathymetry and topography from an unmanned mapping controlled platform. Earth Surf Process Landf 2007, 32, 1705-1725.
6. Crimmins, M.A.; Crimmins, T.M. Monitoring plant phenology using digital repeat photography. Environ. Manage. 2008, 41, 949-958.
7. Richardson, A.D.; Jenkins, J.P.; Braswell, B.H.; Hollinger, D.Y.; Ollinger, S.V.; Smith, M.L. Use of digital webcam images to track spring green-up in a deciduous broadleaf forest. Oecologia. 2007, 152, 323-334.
8. Jensen, T.; Apan, A.; Young, F.; Zeller, L. Detecting the attributes of a wheat crop using digital imagery acquired from a low-altitude platform. Comput. Electron. Agric. 2007, 59, 66-11.
9. Hunt, E.R., Jr.; Cavigelli, M.; Daughtry, C.S.T.; Mc Murtrey, J.E.; Walthall, C.L. Evaluation of digital photography from model aircraft for remote sensing of crop biomass and nitrogen status. Precis. Agrie. 2005, 6, 359-378.
10. Johnson, L.F.; Bosh, D.F.; Williams, D.C.; Lobitz, B.M. Remote sensing of vineyard management zones: Implications for wine quality. Appl. Eng. Agric. 2001, 17, 557-560.
11. Mobasheri; Chahardoli, M.; Jokar, J.; Farajzadeh, M. Sugarcane phenological date estimation using broad-band digital cameras. Am. J. Agrie. Biol. Sci. 2008, 3, 468-475.
12. Vanamburg, L.K.; Trlica, M.J.; Hoffer, R.M.; Weltz, M.A. Ground based digital imagery for grassland biomass estimation. Int. J. Remot. Sens. 2006, 27, 939-950.
13. Cescatti, A. Indirect estimates of canopy gap fraction based on the linear conversion of hemispherical photographs - Methodology and comparison with standard thresholding techniques. Agr. For. Meteorol. 2007, 743, 1-12.
14. Kuusk, A.; Paas, M. Radiometric correction of hemispherical images. ISPRS-J. Photogram Remot. Sens. 2007, 61, 405-413.
15. Lelong, C.C.D.; Burger, P.; Jubelin, G.; Roux, B.; Labbé, S.; Baret, F. Assessment of Unmanned Aerial Vehicles Imagery for Quantitative Monitoring of Wheat Crop in Small Plots. Sensors 2008, 8, 3557-3585.
16. Johnson, L.F.; Herwitz, S.R.; Lobitz, B.M.; Dunagan, S.E. Feasibility of monitoring coffee field ripeness with airborne multispectral imagery. Appl. Eng. Agric. 2004, 20, 845-849.
17. Sugiura, R.; Noguchi, N.; Ishii, K. Remote-sensing technology for vegetation monitoring using an unmanned helicopter. Biosyst. Eng. 2005, 90, 369-379.
18. Withagen, P.J.; Groen, F.C.A.; Schutte, K. CCD color camera characterization for image measurements. IEEE Trans. Instrum. Meas. 2007, 56, 199-203.
19. Zheng, Y.; Lin, S.; Kang, S.B. Single-image vignetting correction. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, New York, US, 17-22 June 2006; pp. 461-468.
20. Goldman, D.B.; Chen, J.-H. Vignette and Exposure Calibration and Compensation. In Proceedings of the Eleventh IEEE International Conference on Computer Vision, Beijing, China, October 2005; pp. 899-906.
21. Solli, M.; Andersson, M.; Lenz, R.; Kruse, B. Color measurements with a consumer digital camera using spectral estimation techniques. In Proceedings of the 14th Scandinavian Conference on Image Analysis, Joensuu, Finland, 9-22 June 2005; pp. 105-114.
22. Dallas, W. J.; Roehrig, H.; Redford, G. R. Use of a color CMOS camera as a colorimeter - art. no. 63191K. In Proceedings of Hard X-Ray and Gamma-Ray Detector Physics and Penetrating Radiation Systems VIII Conference, San Diego, US, 4-17 August 2006; pp. K3191-K3191.
23. th Congress of the International Commission for Optics, Changchun, China, 21-25 August 2005; pp. 603104:1-603104:10.
24. Labbé, S.; Roux, B.; Bégué, A.; Lebourgeois, V.; Mallavan, B. An operational solution to acquire multispectral images with standard light cameras: Characterization and acquisition guidelines. In Proceedings of the International Society of Photogrammetry and Remote Sensing Workshop Newcastle, United-Kingdom, 11-14 September 2007; pp. TS10:1-TS10:6.
25. Lebourgeois, V.; Bégué, A.; Martine, J.-F. Sensitivity of airborne-derived crop water deficit indices to the cropping practices. In Proceedings of the International Conference on Agricultural Engineering & Industry Exhibition, Hersonissos, Crete, Greece, 23-25 June 2008.
26. Serrano, L.; Filella, I.; Penuelas, J. Remote sensing of biomass and yield of winter wheat under different nitrogen supplies. Crop. Sci. 2000, 40, 723-731.
27. Hinzman, L.D.; Bauer, M.E.; Daughtry, C.S.T. Effects of nitrogen fertilization on growth and reflectance characteristics of winter wheat. Remot. Sens. Environ. 1986, 19, 47-61.
28. Yu, W. Practical anti-vignetting methods for digital cameras. IEEE Trans. Consum. Electron. 2004, 50, 975-983.
29. Schott, J.R.; Salvaggio, C.; Volchok, W.J. Radiometric scene normalization using pseudoinvariant features. Remote Sens. Environ. 1988, 26, 1-16.
30. El Hajj, M.; Bégué, A.; Lafrance, B.; Hagolle, O.; Dedieu, G.; Rumeau, M. Relative Radiometric Normalization and Atmospheric Correction of a SPOT 5 Time Series. Sensors 2008, 5, 2774-2791
31. Rouse, J.W.; Hass, R.H.; Schell, J.A.; Deering, D.W. Monitoring vegetation systems in the Great Plains with ERTS Tech. Report No. Accession Number: 74N30727; Document ID: 19740022614. NASA Center, 1974.
32. Gitelson, A.A.; Kaufman, Y.J.; Merzlyak, M.N. Use of green channel in remote sensing of global vegetation from EOS-MODIS. Remote Sens. Environ. 1996, 55, 289-298.
33. Gitelson, A.A.; Kaufman, Y.J.; Stark, R.; Rundquista, D. Novel algorithms for remote estimation of vegetation fraction. Remote Sens. Environ. 2002, 50, 76-87.
34. Asrar, G.; Fuchs, M.; Kanemasu, E.T.; Hatfield, J.L. Estimating absorbed photosynthetic radiation and leaf area index from spectral reflectance in wheat. Agron. J. 1984, 76, 300-306.
35. Milton, E.J. Low-cost ground-based digital infra-red photography. Int. J. Remote Sens. 2002, 23, 1001-1007.
36. Wuller, D.; Gabele, H. The usage of digital cameras as luminance meters. In Proceedings of the SPIE Digital Photography III Conference, San Jose, CA, US, Jan 29-30 2007; pp. 650201:1-650201:11.