Assessment of Wildfire Vulnerability Using Satellite Image in the Michiquillay River Micro-watershed, Cajamarca - 2024

Autores/as

  • Gladys Sandi Licapa-Redolfo Universidad Privada Del Norte - (Pe), Perú
  • Janeth Silvana Castillo Rios Universidad Privada Del Norte - (Pe), Perú
  • Haydeé Díaz Rimarachín Universidad Privada Del Norte - (Pe), Perú
  • Edilberto Gastolomendo Malimba Universidad Privada Del Norte - (Pe), Perú

DOI:

https://doi.org/10.18687/LACCEI2025.1.1.1796

Palabras clave:

Wildfires, Remote Sensing, Geospatial Analysis, Vulnerability, Spectral Indices.

Resumen

This study aimed to assess wildfire vulnerability in the Michiquillay River micro-watershed, Cajamarca – 2024, using remote sensing and geospatial analysis. Sentinel-2 imagery and spectral indices NDVI and NBR were employed to identify high-risk areas. The methodology included a multi-temporal analysis of satellite images from June, September, and November 2024, processed in ArcGIS Pro. The average NDVI was calculated at 0.4589, and the average NBR ranged from -0.092 to 0.3, both combined into a vulnerability index. Additionally, factors such as altitude (2,937 – 3,994 m.a.s.l.), annual precipitation (740 – 1,030 mm), and slopes greater than 27° were evaluated. Results showed that 32% of the area presents high or very high vulnerability, mainly concentrated in agricultural and pasture areas, whereas forested regions have lower risk due to higher moisture content. The study concluded that geospatial analysis effectively identifies critical areas and that the combination of NDVI and NBR is a reliable approach for assessing fire susceptibility. The findings will support the planning of wildfire prevention and risk management strategies in the Cajamarca region.

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Publicado

2025-04-09

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Articles

Cómo citar

Licapa-Redolfo, G. S., Castillo Rios, J. S., Díaz Rimarachín, H., & Gastolomendo Malimba, E. (2025). Assessment of Wildfire Vulnerability Using Satellite Image in the Michiquillay River Micro-watershed, Cajamarca - 2024. LACCEI, 1(12). https://doi.org/10.18687/LACCEI2025.1.1.1796

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