High resolution thermal and multispectral remote sensing for detecting devitalized trees in Monarch Butterfly Biosphere Reserve

  • Ramón Guadarrama-León División de Ciencias Forestales, Universidad Autónoma Chapingo (UACh). 56230 Chapingo, México https://orcid.org/0009-0006-8886-5616
  • Cuauhtémoc Sáenz-Romero Instituto de Investigaciones sobre los Recursos Naturales, Universidad Michoacana de San Nicolás de Hidalgo (UMSNH). 58330 Morelia, Mexico / Laboratorio Nacional de Biología del Cambio Climático, Secretaría de Ciencia, Humanidades, Tecnología e Innovación (SECIHTI). 04510 Ciudad de México, Mexico https://orcid.org/0000-0002-8945-3959
  • Marcela Rosas-Chavoya Instituto de Investigaciones sobre los Recursos Naturales, Universidad Michoacana de San Nicolás de Hidalgo (UMSNH). 58330 Morelia, Mexico https://orcid.org/0000-0002-3193-5373
  • José T. Méndez-Montiel División de Ciencias Forestales, Universidad Autónoma Chapingo (UACh). 56230 Chapingo, México) https://orcid.org/0000-0003-1039-0674
  • Roberto A. Lindig-Cisneros Instituto de Investigaciones en Ecosistemas y Sustentabilidad, Universidad Nacional Autónoma de México (UNAM). 58190 Morelia, Mexico https://orcid.org/0000-0003-2542-7038
  • Arnulfo Blanco-García Facultad de Biología, Universidad Michoacana de San Nicolás de Hidalgo (UMSNH). 58030, Morelia, Mexico https://orcid.org/0000-0001-7732-4845
  • Jose Luis Gallardo-Salazar Centro Académico Regional – Morelia, Universidad Autónoma Chapingo (UACh). 58170, Morelia, Mexico https://orcid.org/0000-0002-6172-2942
Keywords: drone, forest decline, NDVI, surface temperature, TVDI

Abstract

Aim of study: To identify different levels of devitalization in individuals of Abies religiosa (Kunth) Schltdl. & Cham. (oyamel) in the core zone of the Monarch Butterfly Biosphere Reserve (MBBR), using multispectral and thermal information captured with drone.

Area of study: The study area, comprising 26 ha, is located within the federal property of the MBBR. This area also belongs to the core zone of the Protected Natural Area.

Material and methods: Overflights were conducted with drones equipped with multispectral and thermographic sensors in monitoring plots. Using high-resolution images captured by drone and photogrammetric processing, the normalized difference vegetation index (NDVI), surface temperature (ST), and temperature-vegetation dryness index (TVDI) were calculated. These values were combined with field data to determine three different levels of tree devitalization (i.e., healthy, devitalized, and dead trees).

Main results: The results demonstrated that this technology can be used to statistically distinguish the different levels of devitalization in oyamel individuals.

Research highlights: This is the first research in Mexico that use Thermal and Multiespectral high resolution information related with field data applied to Abies religiosa and provides a methodological precedent for identify forest decline symptoms.

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Published
2026-03-06
How to Cite
Guadarrama-León, R., Sáenz-Romero, C., Rosas-Chavoya, M., Méndez-Montiel, J. T., Lindig-Cisneros, R. A., Blanco-García, A., & Gallardo-Salazar, J. L. (2026). High resolution thermal and multispectral remote sensing for detecting devitalized trees in Monarch Butterfly Biosphere Reserve. Forest Systems, 34(2), 20940. https://doi.org/10.5424/fs/2025342-20940
Section
Research Articles