Analysis of Dieback in a Coastal Pinewood in Campania, Southern Italy, through High-Resolution Remote Sensing Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.3390/plants13020182
For some years, the stone pine (Pinus pinea L.) forests of the Domitian coast in Campania, Southern Italy, have been at risk of conservation due to biological adversities. Among these, the pine tortoise scale Toumeyella parvicornis (Cockerell) has assumed a primary role since its spread in Campania began. Observation of pine forests using remote sensing techniques was useful for acquiring information on the health state of the vegetation. In this way, it was possible to monitor the functioning of the forest ecosystem and identify the existence of critical states. To study the variation in spectral behavior and identify conditions of plant stress due to the action of pests, the analysis of the multispectral data of the Copernicus Sentinel-2 satellite, acquired over seven years between 2016 and 2022, was conducted on the Domitian pine forest. This method was used to plot the values of individual pixels over time by processing spectral indices using Geographic Information System (GIS) tools. The use of vegetation indices has made it possible to highlight the degradation suffered by the vegetation due to infestation by T. parvicornis. The results showed the utility of monitoring the state of the vegetation through high-resolution remote sensing to protect and preserve the pine forest ecosystem peculiar to the Domitian coast.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/plants13020182
- https://www.mdpi.com/2223-7747/13/2/182/pdf?version=1704890850
- OA Status
- gold
- Cited By
- 8
- References
- 60
- Related Works
- 10
- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4390695794Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/plants13020182Digital Object Identifier
- Title
-
Analysis of Dieback in a Coastal Pinewood in Campania, Southern Italy, through High-Resolution Remote SensingWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2024Year of publication
- Publication date
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2024-01-09Full publication date if available
- Authors
-
Rosario Nicoletti, Luigi De Masi, Antonello Migliozzi, Marina Maura CalandrelliList of authors in order
- Landing page
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https://doi.org/10.3390/plants13020182Publisher landing page
- PDF URL
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https://www.mdpi.com/2223-7747/13/2/182/pdf?version=1704890850Direct link to full text PDF
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2223-7747/13/2/182/pdf?version=1704890850Direct OA link when available
- Concepts
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Vegetation (pathology), Multispectral image, Remote sensing, Ecosystem, Aleppo Pine, Geography, Environmental science, Forestry, Physical geography, Ecology, Mediterranean climate, Archaeology, Biology, Pathology, MedicineTop concepts (fields/topics) attached by OpenAlex
- Cited by
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8Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3, 2024: 5Per-year citation counts (last 5 years)
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60Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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