Applying multifractal analysis to remotely sensed data for assessing PYVV infection in potato (Solanum tuberosum L.) crops

Remote Sensing

Volumn 2, Issue 5, 2010, Pages 1197-1216

  Chávez, Perla ^a,b   Yarlequé, Christian ^a   Piro, Oreste ^b   Posadas, Adolfo ^a   Mares, Víctor ^a   Loayza, Hildo ^a   Chuquillanqui, Carlos ^a   Zorogastúa, Percy ^a   Flexas, Jaume ^b   Quiroz, Roberto ^a  

^a INTERNATIONAL POTATO CENTER   (Peru)

^b UNIVERSITAT DE LES ILLES BALEARS   (Spain)

Author keywords

Multifractal analysis; Multispectral reflectance; PYVV; Remote sensing

Indexed keywords

MULTI-SPECTRAL; MULTIFRACTAL ANALYSIS; PYVV; REMOTELY SENSED DATA; SOLANUM TUBEROSUM; SPECTRAL REFLECTANCES; SPECTRORADIOMETRY; VEGETATION INDEX; VIRAL INFECTIONS; VISUAL SYMPTOMS;

CROPS; METADATA; REFLECTION; REMOTE SENSING; WAVELET TRANSFORMS;

FRACTALS;

EID: 84860389828     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs2051197     Document Type: Article

References (44)

1. Gilabert, M.A.; García-Haro, F.J.; González Piqueras, J. Acerca de los índices de vegetación. Revista de Teledetección 1997, 8, 1-10.
2. Ritchie, G.L. Use of Ground-Based Canopy Reflectance to Determine Radiation Capture, Nitrogen and Water Status, and Final Yield in Wheat; M.Sc. Thesis; Utah State University: Logan, UT, USA, 2003.
3. Brown, R.B.; Steckler, J.P.G.A.; Anderson, G.W. Remote sensing for identification of weeds in no-till corn. Trans. ASAE 1994, 37, 297-302.
4. Fitzgerald, G.; Maas, S.J.; DeTar, W.R. Detecting spider mite damage in cotton through spectral mixture analysis of aviris imagery; 2002. Available online: http://www.ars.usda.gov/research/publications/publications.htm?seq_no_115=132435 (accessed on 17 January 2005).
5. Peñuelas, J.; Filella, I.; Lloret, P.; Muñoz, F.; Vilajeliu, M. Reflectance assessment of mite effects on apple trees. Int. J. Remote Sens. 1995, 16, 2727-2733.
6. Summy, K.R.; Everitt, J.H.; Escobar, D.E.; Alaniz, A.; Davis, M.R. Use of airborne digital video imagery to monitor damage caused by two honeydew-excreting insects on cotton. In Proceedings of the 16th Biennial Workshop in Videography and Color Photography in Resource Management, American Society of Photogrammetry and Remote Sensing, Bethesda, MD, USA, 29 April-1 May 1997; pp. 238-244.
7. Gamon, J.A.; Peñuelas, J.; Field, C.B. A narrow waveband spectral index that tracks diurnal changes in photosynthetic efficiency. Remote Sens. Environ. 1992, 41, 35-44.
8. Chávez, P.; Zorogastúa, P.; Chuquillanqui, C.; Salazar, L.F.; Mares, V.; Quiroz, R. Assessing Potato Yellow Vein Virus (PYVV) infection using remotely sensed data. Int. J. Pest Manag. 2009, 55, 251-256.
9. Schertzer, D.; Lovejoy, S. Uncertainty and predictability in geophysics: chaos and multifractal insights. In State of the Planet, Frontiers and Challenges in Geophysics; Sparks, R.S.J., Hawkesworth, C.J., Eds.; AGU: Washington, DC, USA, 2004; pp. 317-334.
10. Vicsek, T. Fractal Growth Phenomena, 2nd ed.; Word Scientific Publishing Co.: Singapore, 1992; p. 380.
11. Schertzer, D.; Lovejoy, S. Nonlinear variability in geophysics: multifractal analysis and simulation. In Fractals: Physical Origin and Consequences; Pietronero, L., Ed.; Plenum: New York, NY, USA, 1989; pp. 49-79.
12. McAteer, R.T.J.; Young, C.A.; Ireland, J.; Gallagher, P.T. The bursty nature of solar flare x-ray emission. The Astrophysical Journal 2007, 662, 691-700.
13. Montero Pascual, M.A. Aplicación de técnicas de análisis multifractal a distribuciones de tamañovolumen de partículas de suelo obtenidas mediante análisis por difracción de láser; PhD Tesis; Universidad Politécnica de Madrid, Madrid, Spain, 2003.
14. Posadas, A.N.D.; Giménez, D.; Quiroz, R.A.; Protz, R. Multifractal characterization of soil pore systems. Soil Sci. Soc. Am. J. 2003, 67, 1361-1369.
15. Posadas, A.N.D.; Quiroz, R.; Zorogastúa, P.; León-Velarde, C. Multifractal Characterization of the Spatial Distribution of Ulexite in a Bolivian Salt Flat. Int. J. Remote Sens. 2005, 26, 615-627.
16. Latka, M.; Glaubic-Latka, M.; Latka, D.; West, B. The loss of multifractality in migraines. 2002. Available online: http://arxiv.org/PS_cache/physics/pdf/0204/0204010v1.pdf (accessed on 7 March 2006).
17. Yu, Z.G.; Anh, V.; Lau, K.-S. Multifractal characterisation of length sequences of coding and noncoding segments in a complete genome. Physica A 2001, 301, 351-361.
18. Byalovskii, Y.Y.; Bulatetskii, S.V.; Suchkova, Z.V. Heart rate variability and fractal neurodynamics during local magnetic vibroacoustic treatment. Hum Physiol 2005, 31, 413-420. Translated from Fiziologiya Cheloveka, 431(414), pp. 450-460.
19. Ivanov, P.C.; Nunes Amaral, L.A.; Goldberger, A.L.; Havlin, S.; Rosenblum, M.G.; Struzik, Z. R.; Stanley, H.E. Multifractality in human heartbeat dynamics. Nature 1999, 399, 461-465.
20. Blackburn, G.A.; Ferwerda, J.G. Retrieval of chlorophyll concentration from leaf reflectance spectra using wavelet analysis. Remote Sens. Environ. 2008, 112, 1614-1632.
21. Jaffard, S. Wavelet techniques in multifractal analysis, fractal geometry and applications. In Proceedings of Symposia in Pure Mathematics, Providence, RI, USA, 2004.
22. Dobrowski, S.Z.; Pushnik, J.C.; Zarco-Tejada, P.J.; Ustin, S.L. Simple reflectance indices track heat steady-state chlorophyll fluorescence at the canopy scale. Remote Sens. Environ. 2005, 97, 403-414.
23. Huete, A.R. A soil-adjusted vegetation index (SAVI). Remote Sens. Environ. 1988, 25, 295-309.
24. Crippen, R.E. Calculating the vegetation index faster. Remote Sens. Environ. 1990, 34, 71-73.
25. Yarlequé, C. Análisis de campos de biomasa del altiplano usando wavelet y parámetros universales multifractales; Tesis de Licenciatura en Física; Universidad Nacional del Callao, Perú, 2009; p. 202.
26. Filella, I.; Penuelas, J. The red edge position and shape as indicators of plant chlorophyll content, biomass and hydric status. Int. J. Remote Sens. 1994, 15, 1459-1470.
27. Han, L.; Rundquist, D.C. Comparison of NIR/RED ratio and first derivative of reflectance in estimating algal-chlorophyll concentration: A case study in a turbid reservoir. Remote Sens. Environ. 1997, 62, 253-261.
28. Mallat, S. A Wavelet Tour of Signal Processing, 2nd ed.; Academic Press: San Diego, CA, USA, 1999; p. 637.
29. Muzy, J.F.; Bacry, E.; Arneodo, A. Wavelets and multifractal formalism for singular signals: Application to turbulence data. Phys. Rev. Lett. 1991, 67, 3515-3518.
30. Lavallée, D. Multifractal analysis and simulation techniques and turbulent fields; Ph.D. Thesis; McGill University: Quebec, Canada, 1991; p. 132.
31. Arneodo, A.; Bacry, E.; Graves, P.V.; Muzzy, J.F. Characterizing long-range correlations in DNA sequences from wavelet analysis. Phys. Rev. Lett. 1995, 74, 3293-3296.
32. Wolfinger, R.D.; Chang, M. Comparing the SAS GLM and MIXED procedures for repeated measures. In SUGI Proceedings, Cary, NC, USA, 1998.
33. Campbell, J.B. Introduction to Remote Sensing, 2nd ed.; The Guilford Press: New York, NY, USA, 1996; p. 622.
34. Schowengerdt, R.A. Remote Sensing, Models and Methods for Image Processing; Academic Press: San Diego, CA, USA, 1997; p. 522.
35. Ding, S.W. RNA silencing. Curr. Opin. Biotechnol. 2000, 11, 152-156.
36. Argerter, M. Plant viruses discover how to overcome gene silencing. Washington State University: Pullman, WA, USA, 1999; Available online: http://www.wsu.edu/NIS/Universe/virus.htm (accessed on 9 April 2007).
37. Baulcombe, D. RNA Silencing in plants. Nature 2004, 431, 356-363.
38. Siddiqui, S.A. RNA silencing and its inhibition in transgenic tobacco plants. Ph.D. Thesis; University of Turku, Turku, Finland, 2007.
39. Falconer, K. Techniques in Fractal Geometry; John Wiley and Sons Ltd.: New York, NY, USA, 1997.
40. Chhabra, A.B.; Meneveu, C.; Jensen, R.V.; Sreenivasan, K.R. Direct determination of the f(a) singularity spectrum and its application to fully developed turbulence. Physical Review A 1989, 40, 5284-5294.
41. Bacry, E.; Muzy, J.F.; Arnéodo, A. Singularity spectrum of fractal signals from wavelet analysis: exact results. J. Stat. Phys. 2003, 70, 635-674.
42. Addison, P.S. The Illustrated Wavelet Transform Handbook: Introductory Theory and Applications in Science, Engineering, Medicine and Finance; Institute of Physics Publishing: Bristol, UK, 2002; p. 368.
43. Arneodo, A.; Grasseau, G.; Holschneider, M. Wavelet transform of multifractals. Phys. Rev. Lett. 1988, 61, 2281-2284.
44. Daves, A.M.C. Back to basics: spectral pre-treatments-Derivatives. Tony Davies Column 2007, 19, 32-33.