Variation of dnbr and rbr thresholds in forest fire detection in the Iztaccihuatl-Popocatepetl area, Mexico
DOI:
https://doi.org/10.18387/polibotanica.60.3Keywords:
Forest fires, Spectral indices, Kappa coefficient, Threshold, LandsatAbstract
Wildfires are disturbances that influence the composition, structure, and functioning of ecosystems, forming part of ecological cycles whose frequency and severity can vary annually. The use of remote sensors and spectral indices enables the analysis of wildfire dynamics through the Normalized Burn Ratio (NBR), Delta Normalized Burn Ratio (dNBR), and Relative Burn Ratio (RBR). In this context, the aim of the study was to determine and analyze the spatiotemporal variations of dNBR and RBR thresholds to detect areas affected by wildfires in the Iztaccíhuatl-Popocatépetl natural area for the period 2000–2012. Annual Landsat image composites using the 10th percentile were utilized. The RBR and dNBR indices were derived from NBR, allowing the identification of forested areas affected by fires. Concordance (K) was calculated between burned (QUE) and unburned (NOQ) areas. A linear model was fitted for the spectral index with the best metrics. The results showed that RBR thresholds ranged from 50 to 100 (k = 0.71–0.88), while dNBR thresholds ranged from 50 to 130 (k = 0.59–0.83). The linear model explained 80% of the variance, with an RMSE of 7.5 representing the total variance. These results demonstrate the potential of the RBR index for mapping annual burned areas with good accuracy in multitemporal studies. Additionally, the accuracy and variation of the thresholds have changed due to climatic factors such as periods of intense drought and years with higher precipitation.
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Chuvieco, E., Ventura, G., Martín, M. P., & Gómez, I. (2005). Assessment of multitemporal compositing techniques of MODIS and AVHRR images for burned land mapping. Remote Sensing of Environment, 94(4), 450–462. https://doi.org/https://doi.org/10.1016/j.rse.2004.11.006
Cisneros-Vaca, C., Calahorrano, J., Abarca, M., & Manzano, M. (2023). Detección semiautomatica de áreas quemadas en Chimborazo-Ecuador utilizando medias compuestas de dNBR con umbrales ajustados. Revista de Teledetección, 2023(62), 89–99. https://doi.org/https://doi.org/10.4995/raet.2023.19428
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Variation of dnbr and rbr thresholds in forest fire detection in the Iztaccihuatl-Popocatepetl area, Mexico. (2026). POLIBOTANICA, 61. https://doi.org/10.18387/polibotanica.60.3
