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Papers by Rocio Calderón Madrid

Research paper thumbnail of Teledetección hiperespectral y térmica de alta resolución para la detección de enfermedades de olivar: Verticilosis

Phytoma España: La revista profesional de sanidad vegetal, Nov 1, 2017

Research paper thumbnail of Avances en teledetección para la prevención y detección temprana de Xylella fastidiosa en el marco de los proyectos H2020 POnTE y XF-ACTORS

Divulgative publication on the POnTE and XF-ACTORS project results related to surveillance and pe... more Divulgative publication on the POnTE and XF-ACTORS project results related to surveillance and pest prevention using remote sensing

Research paper thumbnail of Detecting Xylella fastidiosa with hyperspectral remote sensing: findings from two years of airborne campaigns in Puglia

Research paper thumbnail of Detección de Verticilosis en olivar mediante teledetección hiperespectral y térmica de alta resolución

Research paper thumbnail of Anticipating and understanding new Xylella fastidiosa epidemics across European landscapes; insights from remote sensing and network analysis

Europe's major X. fastidiosa outbreaks have progressed steadily in the past years as data on ... more Europe's major X. fastidiosa outbreaks have progressed steadily in the past years as data on the bacterial strains causing them, and on the host range and vectors of the pathogen in various regions, became available. The initial uncertainty around these critical epidemiological aspects of the X. fastidiosa invasions hampered estimates of their rate and reach should eradication or containment efforts fail. We explored whether network analysis could help circumvent known knowledge gaps in X. fastidiosa epidemiology; Relying only on distribution maps of a known host plant (>60 000 olive groves), and the dispersal abilities of a putative vector, we gained network-based insights into the effort required for eradication or containment of the pathogen in southern Italy, and into opport nities to optimize pest management efforts at the landscapes scale. Early detection of new foci play a critical role in ensuring such efforts are efficient. Hyperspectral and thermal remote sensing, a...

Research paper thumbnail of High-Resolution Hyperspectral and Thermal Imagery Acquired from Uav Platforms for Early Detection of Verticillium Wilt Using Fluorescence, Temperature and Narrow-Band Indices

Trabajo presentado en el Workshop on UAV-based Remote Sensing Methods for Monitoring Vegetation, ... more Trabajo presentado en el Workshop on UAV-based Remote Sensing Methods for Monitoring Vegetation, celebrado en Colonia (Alemania) el 9 y 10 de septiembre de 2013. Mas informacion en http://www.tr32db.uni-koeln.de/workshops/proceedings.php?wsID=3.

Research paper thumbnail of High-resolution airborne hyperspectral and thermal imagery for early detection of Verticillium wilt of olive using fluorescence, temperature and narrow-band spectral indices

Remote Sensing of Environment, 2013

Verticillium wilt (VW) caused by the soil-borne fungus Verticillium dahliae Kleb, is the most lim... more Verticillium wilt (VW) caused by the soil-borne fungus Verticillium dahliae Kleb, is the most limiting disease in all traditional olive-growing regions worldwide. This pathogen colonizes the vascular system of plants, blocking water flow and eventually inducing water stress. The present study explored the use of high-resolution thermal imagery, chlorophyll fluorescence, structural and physiological indices (xanthophyll, chlorophyll a + b, carotenoids and blue/green/red B/G/R indices) calculated from multispectral and hyperspectral imagery as early indicators of water stress caused by VW infection and severity. The study was conducted in two olive orchards naturally infected with V. dahliae. Time series of airborne thermal, multispectral and hyperspectral imagery was acquired in three consecutive years and related to VW severity at the time of the flights. Concurrently to the airborne campaigns, field measurements conducted at leaf and tree-crown levels showed a significant increase in crown temperature (Tc) minus air temperature (Ta) and a decrease in leaf stomatal conductance (G) across VW severity levels, identifying VW-infected trees at early stages of the disease. Higher Tc − Ta and G values measured in the field were associated with higher VW severity levels. At leaf level, the reduction in G caused by VW infection was associated with a significant increase in the Photochemical Reflectance Index (PRI 570) and a decrease in chlorophyll fluorescence (F). The airborne flights enabled the early detection of VW by using canopy-level image-derived airborne Tc − Ta, Crop Water Stress Index (CWSI) calculated from the thermal imagery, blue/blue-green/blue-red ratios (B/BG/BR indices) and chlorophyll fluorescence, confirming the results obtained in the field. Airborne Tc − Ta showed rising values with a significant increase of~2 K at low VW severity levels, and was significantly correlated with G (R 2 = 0.76, P = 0.002) and PRI 570 (R 2 = 0.51, P = 0.032). Early stages of disease development could be differentiated based on a CWSI increase as VW developed, obtaining a strong correlation with G (R 2 = 0.83, P b 0.001). Likewise, the canopy-level chlorophyll fluorescence dropped at high VW severity levels, showing a significant increase as disease progressed. These results indicate the potentials of an early detection of V. dahliae infection and discrimination of VW severity levels using remote sensing. Indicators based on crown temperature such as CWSI, and visible ratios B/BG/BR as well as fluorescence were effective in detecting VW at early stages of disease development. In affected trees, the structural indices PRI, chlorophyll and carotenoid indices, and the R/G ratio were good indicators to assess the damage caused by the disease.

Research paper thumbnail of Detection of downy mildew of opium poppy using high-resolution multi-spectral and thermal imagery acquired with an unmanned aerial vehicle

Precision Agriculture, 2014

Your article is protected by copyright and all rights are held exclusively by Springer Science +B... more Your article is protected by copyright and all rights are held exclusively by Springer Science +Business Media New York. This e-offprint is for personal use only and shall not be selfarchived in electronic repositories. If you wish to self-archive your article, please use the accepted manuscript version for posting on your own website. You may further deposit the accepted manuscript version in any repository, provided it is only made publicly available 12 months after official publication or later and provided acknowledgement is given to the original source of publication and a link is inserted to the published article on Springer's website. The link must be accompanied by the following text: "The final publication is available at link.springer.com". Detection of downy mildew of opium poppy using high-resolution multi-spectral and thermal imagery acquired with an unmanned aerial vehicle

Research paper thumbnail of Soil Temperature Determines the Reaction of Olive Cultivars to Verticillium dahliae Pathotypes

Research paper thumbnail of Teledetección aerotransportada hiperespectral y térmica de alta resolución para la detección temprana de Verticilosis en olivar usando fluorescencia, temperatura e índices espectrales

Research paper thumbnail of Teledetección aerotransportada hiperespectral y térmica de alta resolución para la detección temprana de Verticilosis en olivar usando fluorescencia, temperatura e índices espectrales (High-resolution hyperspectral and thermal imagery acquired from UAV platforms for early detection of Verticilliu...

This paper assesses the use of indicators calculated from high-resolution thermal and hyperspectr... more This paper assesses the use of indicators calculated from high-resolution thermal and hyperspectral imagery which are based on structural and physiological indices related with xanthophyll, chlorophyll a+b, carotenoids concentration and chlorophyll fluorescence for the early detection of stress caused by Verticillium dahliae in olive trees. This study was conducted in two commercial olive orchards where foliar and crown measurements were obtained by punctual sensors and time series of airborne thermal and hyperspectral imagery were acquired using Unmanned Aerial Vehicles (UAV) in three consecutive years and related to Verticillium wilt severity at the time of the flights.

Research paper thumbnail of Early Detection and Quantification of Verticillium Wilt in Olive Using Hyperspectral and Thermal Imagery over Large Areas

Remote Sensing, 2015

Automatic methods for an early detection of plant diseases (i.e., visible symptoms at early stage... more Automatic methods for an early detection of plant diseases (i.e., visible symptoms at early stages of disease development) using remote sensing are critical for precision crop protection. Verticillium wilt (VW) of olive caused by Verticillium dahliae can be controlled only if detected at early stages of development. Linear discriminant analysis (LDA) and support vector machine (SVM) classification methods were applied to classify V. dahliae severity using remote sensing at large scale. High-resolution thermal and hyperspectral imagery were acquired with a manned platform which flew a 3000-ha commercial olive area. LDA reached an overall accuracy of 59.0% and a κ of 0.487 while SVM obtained a higher overall accuracy, 79.2% with a similar κ, 0.495. However, LDA better classified trees at initial and low severity levels, reaching accuracies of 71.4 and 75.0%, respectively, in comparison with the 14.3% and 40.6% obtained by SVM. Normalized canopy temperature, chlorophyll fluorescence, structural, xanthophyll, chlorophyll, carotenoid and disease indices were found to be the best indicators for early and advanced stage infection by VW. These results demonstrate that the methods developed in other studies at orchard scale are valid for flights in large areas comprising several olive orchards differing in soil and crop management characteristics.

Research paper thumbnail of Detection of Verticillium wilt of olive trees and downy mildew of opium poppy using hyperspectral and thermal UAV imagery

The present study explored the use of high-resolution thermal, multispectral and hyperspectral im... more The present study explored the use of high-resolution thermal, multispectral and hyperspectral imagery as in-dicators of the infections caused by Verticillium wilt (VW) in olive trees and downy mildew (DM) in opium poppy fields. VW, caused by the soil-borne fungus Verticillium dahliae, and DM, caused by the biotrophic obligate oomycete Peronospora arborescens, are the most economically limiting diseases of olive trees and opium poppy, respectively, worldwide. V. dahliae infects the plant by the roots and colonizes its vascular system, blocking water flow and eventually inducing water stress. P. arborescens colonizes the mesophyll, appearing the first symptoms as small chlorotic leaf lesions, which can evolve to curled and thickened tissues and systemic infections that become deformed and necrotic as the disease develops. The work conducted to detect VW and DM infection consisted on the acquisition of time series of airborne thermal, multispectral and hyperspectral imagery using 2-m ...

Research paper thumbnail of Teledetección hiperespectral y térmica de alta resolución para la detección de enfermedades de olivar: Verticilosis

Phytoma España: La revista profesional de sanidad vegetal, Nov 1, 2017

Research paper thumbnail of Avances en teledetección para la prevención y detección temprana de Xylella fastidiosa en el marco de los proyectos H2020 POnTE y XF-ACTORS

Divulgative publication on the POnTE and XF-ACTORS project results related to surveillance and pe... more Divulgative publication on the POnTE and XF-ACTORS project results related to surveillance and pest prevention using remote sensing

Research paper thumbnail of Detecting Xylella fastidiosa with hyperspectral remote sensing: findings from two years of airborne campaigns in Puglia

Research paper thumbnail of Detección de Verticilosis en olivar mediante teledetección hiperespectral y térmica de alta resolución

Research paper thumbnail of Anticipating and understanding new Xylella fastidiosa epidemics across European landscapes; insights from remote sensing and network analysis

Europe's major X. fastidiosa outbreaks have progressed steadily in the past years as data on ... more Europe's major X. fastidiosa outbreaks have progressed steadily in the past years as data on the bacterial strains causing them, and on the host range and vectors of the pathogen in various regions, became available. The initial uncertainty around these critical epidemiological aspects of the X. fastidiosa invasions hampered estimates of their rate and reach should eradication or containment efforts fail. We explored whether network analysis could help circumvent known knowledge gaps in X. fastidiosa epidemiology; Relying only on distribution maps of a known host plant (>60 000 olive groves), and the dispersal abilities of a putative vector, we gained network-based insights into the effort required for eradication or containment of the pathogen in southern Italy, and into opport nities to optimize pest management efforts at the landscapes scale. Early detection of new foci play a critical role in ensuring such efforts are efficient. Hyperspectral and thermal remote sensing, a...

Research paper thumbnail of High-Resolution Hyperspectral and Thermal Imagery Acquired from Uav Platforms for Early Detection of Verticillium Wilt Using Fluorescence, Temperature and Narrow-Band Indices

Trabajo presentado en el Workshop on UAV-based Remote Sensing Methods for Monitoring Vegetation, ... more Trabajo presentado en el Workshop on UAV-based Remote Sensing Methods for Monitoring Vegetation, celebrado en Colonia (Alemania) el 9 y 10 de septiembre de 2013. Mas informacion en http://www.tr32db.uni-koeln.de/workshops/proceedings.php?wsID=3.

Research paper thumbnail of High-resolution airborne hyperspectral and thermal imagery for early detection of Verticillium wilt of olive using fluorescence, temperature and narrow-band spectral indices

Remote Sensing of Environment, 2013

Verticillium wilt (VW) caused by the soil-borne fungus Verticillium dahliae Kleb, is the most lim... more Verticillium wilt (VW) caused by the soil-borne fungus Verticillium dahliae Kleb, is the most limiting disease in all traditional olive-growing regions worldwide. This pathogen colonizes the vascular system of plants, blocking water flow and eventually inducing water stress. The present study explored the use of high-resolution thermal imagery, chlorophyll fluorescence, structural and physiological indices (xanthophyll, chlorophyll a + b, carotenoids and blue/green/red B/G/R indices) calculated from multispectral and hyperspectral imagery as early indicators of water stress caused by VW infection and severity. The study was conducted in two olive orchards naturally infected with V. dahliae. Time series of airborne thermal, multispectral and hyperspectral imagery was acquired in three consecutive years and related to VW severity at the time of the flights. Concurrently to the airborne campaigns, field measurements conducted at leaf and tree-crown levels showed a significant increase in crown temperature (Tc) minus air temperature (Ta) and a decrease in leaf stomatal conductance (G) across VW severity levels, identifying VW-infected trees at early stages of the disease. Higher Tc − Ta and G values measured in the field were associated with higher VW severity levels. At leaf level, the reduction in G caused by VW infection was associated with a significant increase in the Photochemical Reflectance Index (PRI 570) and a decrease in chlorophyll fluorescence (F). The airborne flights enabled the early detection of VW by using canopy-level image-derived airborne Tc − Ta, Crop Water Stress Index (CWSI) calculated from the thermal imagery, blue/blue-green/blue-red ratios (B/BG/BR indices) and chlorophyll fluorescence, confirming the results obtained in the field. Airborne Tc − Ta showed rising values with a significant increase of~2 K at low VW severity levels, and was significantly correlated with G (R 2 = 0.76, P = 0.002) and PRI 570 (R 2 = 0.51, P = 0.032). Early stages of disease development could be differentiated based on a CWSI increase as VW developed, obtaining a strong correlation with G (R 2 = 0.83, P b 0.001). Likewise, the canopy-level chlorophyll fluorescence dropped at high VW severity levels, showing a significant increase as disease progressed. These results indicate the potentials of an early detection of V. dahliae infection and discrimination of VW severity levels using remote sensing. Indicators based on crown temperature such as CWSI, and visible ratios B/BG/BR as well as fluorescence were effective in detecting VW at early stages of disease development. In affected trees, the structural indices PRI, chlorophyll and carotenoid indices, and the R/G ratio were good indicators to assess the damage caused by the disease.

Research paper thumbnail of Detection of downy mildew of opium poppy using high-resolution multi-spectral and thermal imagery acquired with an unmanned aerial vehicle

Precision Agriculture, 2014

Your article is protected by copyright and all rights are held exclusively by Springer Science +B... more Your article is protected by copyright and all rights are held exclusively by Springer Science +Business Media New York. This e-offprint is for personal use only and shall not be selfarchived in electronic repositories. If you wish to self-archive your article, please use the accepted manuscript version for posting on your own website. You may further deposit the accepted manuscript version in any repository, provided it is only made publicly available 12 months after official publication or later and provided acknowledgement is given to the original source of publication and a link is inserted to the published article on Springer's website. The link must be accompanied by the following text: "The final publication is available at link.springer.com". Detection of downy mildew of opium poppy using high-resolution multi-spectral and thermal imagery acquired with an unmanned aerial vehicle

Research paper thumbnail of Soil Temperature Determines the Reaction of Olive Cultivars to Verticillium dahliae Pathotypes

Research paper thumbnail of Teledetección aerotransportada hiperespectral y térmica de alta resolución para la detección temprana de Verticilosis en olivar usando fluorescencia, temperatura e índices espectrales

Research paper thumbnail of Teledetección aerotransportada hiperespectral y térmica de alta resolución para la detección temprana de Verticilosis en olivar usando fluorescencia, temperatura e índices espectrales (High-resolution hyperspectral and thermal imagery acquired from UAV platforms for early detection of Verticilliu...

This paper assesses the use of indicators calculated from high-resolution thermal and hyperspectr... more This paper assesses the use of indicators calculated from high-resolution thermal and hyperspectral imagery which are based on structural and physiological indices related with xanthophyll, chlorophyll a+b, carotenoids concentration and chlorophyll fluorescence for the early detection of stress caused by Verticillium dahliae in olive trees. This study was conducted in two commercial olive orchards where foliar and crown measurements were obtained by punctual sensors and time series of airborne thermal and hyperspectral imagery were acquired using Unmanned Aerial Vehicles (UAV) in three consecutive years and related to Verticillium wilt severity at the time of the flights.

Research paper thumbnail of Early Detection and Quantification of Verticillium Wilt in Olive Using Hyperspectral and Thermal Imagery over Large Areas

Remote Sensing, 2015

Automatic methods for an early detection of plant diseases (i.e., visible symptoms at early stage... more Automatic methods for an early detection of plant diseases (i.e., visible symptoms at early stages of disease development) using remote sensing are critical for precision crop protection. Verticillium wilt (VW) of olive caused by Verticillium dahliae can be controlled only if detected at early stages of development. Linear discriminant analysis (LDA) and support vector machine (SVM) classification methods were applied to classify V. dahliae severity using remote sensing at large scale. High-resolution thermal and hyperspectral imagery were acquired with a manned platform which flew a 3000-ha commercial olive area. LDA reached an overall accuracy of 59.0% and a κ of 0.487 while SVM obtained a higher overall accuracy, 79.2% with a similar κ, 0.495. However, LDA better classified trees at initial and low severity levels, reaching accuracies of 71.4 and 75.0%, respectively, in comparison with the 14.3% and 40.6% obtained by SVM. Normalized canopy temperature, chlorophyll fluorescence, structural, xanthophyll, chlorophyll, carotenoid and disease indices were found to be the best indicators for early and advanced stage infection by VW. These results demonstrate that the methods developed in other studies at orchard scale are valid for flights in large areas comprising several olive orchards differing in soil and crop management characteristics.

Research paper thumbnail of Detection of Verticillium wilt of olive trees and downy mildew of opium poppy using hyperspectral and thermal UAV imagery

The present study explored the use of high-resolution thermal, multispectral and hyperspectral im... more The present study explored the use of high-resolution thermal, multispectral and hyperspectral imagery as in-dicators of the infections caused by Verticillium wilt (VW) in olive trees and downy mildew (DM) in opium poppy fields. VW, caused by the soil-borne fungus Verticillium dahliae, and DM, caused by the biotrophic obligate oomycete Peronospora arborescens, are the most economically limiting diseases of olive trees and opium poppy, respectively, worldwide. V. dahliae infects the plant by the roots and colonizes its vascular system, blocking water flow and eventually inducing water stress. P. arborescens colonizes the mesophyll, appearing the first symptoms as small chlorotic leaf lesions, which can evolve to curled and thickened tissues and systemic infections that become deformed and necrotic as the disease develops. The work conducted to detect VW and DM infection consisted on the acquisition of time series of airborne thermal, multispectral and hyperspectral imagery using 2-m ...