BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//talks.staging.osgeo.org//foss4g-it-2023//speaker//WQPUFQ
BEGIN:VTIMEZONE
TZID:GMT
BEGIN:STANDARD
DTSTART:20001029T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:GMT
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20000326T020000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:BST
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-foss4g-it-2023-8RRBKQ@talks.staging.osgeo.org
DTSTART;TZID=GMT:20230613T174500
DTEND;TZID=GMT:20230613T180000
DESCRIPTION:Monitoring and surveillance of plant pathogens and pests are es
 sential steps in integrated pest management. However\, conventional field 
 monitoring of diseases and pests is time-consuming\, labor-intensive\, and
  generally not very effective. Remote sensing (RS) techniques could play a
  crucial role in large-scale monitoring of plant diseases and pests. Citru
 s Tristeza Virus (CTV) is the most important citrus virus globally. In 200
 2\, two outbreaks of the virus were reported in the Apulia region\, Italy.
 \nTo examine the epidemic effects of the virus in the Apulia region\, a re
 mote sensing approach based on time series analysis was applied. Time seri
 es of the Normalized Difference Vegetation Index (NDVI) obtained from MODI
 S-Terra satellite and Sentinel-2 multispectral imagery were used to study 
 fluctuations related to the infection in nine citrus fields monitored by M
 ODIS-Terra for a period of 21 years and in four citrus orchards observed w
 ith Sentinel-2 for a period of 5 years.\nPhonological parameters were extr
 acted from MODIS-Terra and Sentinel-2 NDVI by applying asymmetric curve fi
 tting methods. Subsequently\, their evolution was analyzed using linear re
 gression. The evaluated approach demonstrated high potential in monitoring
  infected citrus fields.\nMODIS-Terra\, with its medium spectral resolutio
 n\, allowed for the assessment of infection's temporal trend over a long p
 eriod and identifying long-term trends. Sentinel-2\, thanks to its high sp
 ectral resolution\, enabled the monitoring of small orchards and greater p
 recision in the spatial analysis of infected areas.\nStatistical analysis 
 revealed a correlation between the incidence of infection and the trends o
 f seasonal parameters\, particularly the peak value\, seasonal amplitude\,
  and seasonal integral in the summer period. These results suggest that in
 tegrating MODIS-Terra and Sentinel-2 data could constitute an effective st
 rategy for monitoring and assessing the effects of CTV in the Apulia regio
 n.
DTSTAMP:20260518T163240Z
LOCATION:Sala Biblioteca @ PoliBa
SUMMARY:Evaluation of the use of data from MODIS-Terra and Sentinel-2 to an
 alyze the epidemic impact of Citrus Tristeza Virus in infected areas of th
 e Apulia region - Stefania Gualano\, Hamza Mghari\, Antonio Novelli\, Anna
  Maria D’Onghia\, Biagio Di Terlizzi\, Franco Santoro
URL:https://talks.staging.osgeo.org/foss4g-it-2023/talk/8RRBKQ/
END:VEVENT
END:VCALENDAR