Applying Multifractal Analysis to Remotely Sensed Data for Assessing PYVV Infection in Potato (Solanum tuberosum L.) Crops

Remote Sensing

Perla Chávez²  Christian Yarlequé²  Oreste Piro³  Adolfo Posadas²  Vໜtor Mares²  Hildo Loayza²  Carlos Chuquillanqui⁴  Percy Zorogastྪ²  Jaume Flexas¹ 

[1] Research Group in Biology of Plants under Mediterranean Conditions, University of Balearic Islands, Crtra. Valldemossa km.7.5, 07122 Palma de Mallorca, Spain; E-Mails:;Production Systems and the Environment Division, International Potato Center, Av. La Molina 1895, Lima 12, Peru; E-Mails:;Physics Department, University of Balearic Islands, Crtra, Valldemossa km.7.5, 07122 Palma de Mallorca, Spain; E-Mail:;Integrated Crop Management Division, International Potato Center, Av. La Molina 1895, Lima 12, Peru; E-Mail:

关键词: remote sensing;    PYVV;    multifractal analysis;    multispectral reflectance;   

DOI  :  10.3390/rs2051197

来源: mdpi

【 摘 要 】

Multispectral reflectance imagery and spectroradiometry can be used to detect stresses affecting crops. Previously, we have shown that changes in spectral reflectance and vegetation indices detected viral infection 14 days before visual symptoms were noticed by the trained eye. Herein we present evidence that shows that the application of multifractal analysis and wavelet transform to spectroradiometrical data improves the diagnostic power of the remote sensing-based methodology proposed in our previous work. The diagnosis of viral infection was effectively enhanced, providing the earliest detection ever reported, as anomalies were detected 29 and 33 days before appearance of visual symptoms in two experiments.

【 授权许可】

CC BY   
© 2010 by the authors; licensee MDPI, Basel, Switzerland.