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Evaluación de la Vulnerabilidad a Incendios Forestales mediante Imágenes Satelitales en la microcuenca del río Michiquillay, Cajamarca – 2024

  • J. Silvana Castillo-Rios
  • , Gladys S. Licapa-Redolfo
  • , Edilberto Gastolomendo-Malimba
  • , Haydeé Díaz-Rimarachín
  • Universidad Privada del Norte

Producción científica: Contribución a una revistaArtículo de la conferenciarevisión exhaustiva

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.

Título traducido de la contribuciónAssessment of Wildfire Vulnerability Using Satellite Image in the Michiquillay River Micro-watershed, Cajamarca - 2024
Idioma originalEspañol
PublicaciónProceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
N.º2025
DOI
EstadoPublicada - 2025
Publicado de forma externa
Evento23rd LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2025 - Virtual, Online
Duración: 16 jul. 202518 jul. 2025

Palabras clave

  • Geospatial Analysis
  • Remote Sensing
  • Spectral Indices
  • Vulnerability
  • Wildfires

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