Early Identification of Vegetation Pest Diseases Using Sentinel 2 NDVI Time Series 2016–2023: The Case of Toumeyella Parvicorvis at Castel Porziano (Italy)
Author:
Affiliation:
1. CNR - Institute of Methodologies for Environmental Analysis, Tito Scalo, Italy
2. CNR - Institute of Heritage Science, Tito Scalo, Italy
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/8859/10365397/10494742.pdf?arnumber=10494742
Reference27 articles.
1. Monitoring plant diseases and pests through remote sensing technology: A review
2. Early Monitoring of Forest Wood-Boring Pests with Remote Sensing
3. Detection of Xylella fastidiosa in almond orchards by synergic use of an epidemic spread model and remotely sensed plant traits
4. Fast Detection of Olive Trees Affected by Xylella Fastidiosa from UAVs Using Multispectral Imaging
5. Revealing traits of phytopathogenic status induced by Xylella Fastidiosa in olive trees by analysing multifractal and informational patterns of MODIS satellite evapotranspiration data
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