Detection of pine tree diseases using multispectral imagery

The study aims to assess the possibility of diagnosing pine infestation of the pine processionary moth (Thaumetopoea pityocampa) using remote sensing, which would lead to minimizing economic losses. The results show that using remote sensing to diagnose the state of pine plantations can be a basis for improving economic results.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-16
DOI
https://doi.org/10.5281/zenodo.15542435
Primary Topic
Food Drying and Modeling
Type
article
Field-Weighted Citation Impact
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article

Detection of pine tree diseases using multispectral imagery

Zenodo (CERN European Organization for Nuclear Research)
Food Drying and Modeling
article

Detection of pine tree diseases using multispectral imagery

article en

Abstract

The study aims to assess the possibility of diagnosing pine infestation of the pine processionary moth (Thaumetopoea pityocampa) using remote sensing, which would lead to minimizing economic losses. The results show that using remote sensing to diagnose the state of pine plantations can be a basis for improving economic results.

Zenodo (CERN European Organization for Nuclear Research)
Trakia University (BG)
Openalex Percentile: Top 50%
Food Drying and Modeling
DOIOpen Access PDFOpenAlex
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Detection of pine tree diseases using multispectral imagery · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS