Mapping the recovery of the burnt vegetation by classifying pre- and post-fire spectral indices

M. A Peña, J. Ulloa

Abstract

This study analyzed the state of recovery of the burnt vegetation in the National Park of Torres del Paine between December, 2011 and March, 2012. The calculation and comparison of the NVDI (normalized difference vegetation index) of the burnt area throughout a time series of 24 Landsat images acquired before, during and after the fire (2009- 2015), showed the temporal variation in the biomass levels of the burnt vegetation. The subsequent classification and comparison of the spectral indices: NDVI, NBR (normalized burnt ratio) and NDWI (normalized difference water index) on a full-data available and phenologically matched pre- and post-fire image pair (acquired in October 2009 and 2014), enabled to analyze and mapping the state of recovery of the burnt vegetation. The results show that the area of the lowest classes of all the spectral indices of the pre-fire date became the most dominant on the post-fire date. The pre- and post- fire NDVI class crossing by a confusion matrix showed that the highest and most prevailing pre-fire NDVI classes, mostly corresponding to hydromorphic forests and Andean scrubs, turned into the lowest class in 2014. The remaining area, comprising Patagonian steppe, reestablished its biomass levels in 2014, mostly exhibiting the same pre-fire NDVI classes. These results may provide guidelines to monitor and manage the regeneration of the vegetation impacted by this fire.


Keywords

NDVI; Landsat; wildfire; image time series; error matrix

Full Text:

PDF

References

Abdel Malak, D., Pausas, J.G. 2006. Fire regime and postfire Normalized Difference Vegetation Index changes in the eastern Iberian peninsula (Mediterranean basin). International Journal of Wildland Fire, 15, 407-413. https://doi.org/10.1071/WF05052

Bastos, A., Gouveia, C.M., DaCamara, C.C., Trigo, R.M. 2011. Modelling post-fire vegetation recovery in Portugal. Biogeosciences, 8, 3593-3607. https://doi. org/10.5194/bg-8-3593-2011

CEQUA (Centro de Estudios del Cuaternario FuegoPatagonia y Antártica). 2014. Difusión cartográfica digital a escala local Parque Nacional Torres del Paine. Punta Arenas: CEQUA.

Chen, X., Vogelman, J.E., Rollins, M., Ohlen, D., Key, C.H., Yang, L., Chengquan, H., Shi, H. 2011. Detecting post-fire burn severity and vegetation recovery using multitemporal remote sensing spectral indices and field-collected composite burn index data in a ponderosa pine forest. International Journal of Remote Sensing, 32(23), 7905-7927. https://doi.org/1 0.1080/01431161.2010.524678

De Santis A., Chuvieco, E. 2007. Burn severity estimation from remotely sensed data: Performance of simulation versus empirical models. Remote Sensing of Environment, 108, 422-435. https://doi. org/10.1016/j.rse.2006.11.022

Díaz-Delgado R., Lloret, F., Pons, X. 2003. Influence of fire severity on plant regeneration by means of remote sensing imagery. International Journal of Remote Sensing, 24, 1751-1763. https://doi. org/10.1080/01431160210144732

Díaz-Delgado, R., Salvador, R., Pons, X. 1998. Monitoring of plant community regeneration after fire by remote sensing. En: L. Traboud (Ed.), Fire management and landscape ecology (pp. 315–324). Fairfield, WA: International Association of Wildland Fire.

Escuín, S., Navarro, R., Fernández, P. 2008. Fire severity assessment by using NBR (normalized burn ratio) and NDVI (normalized difference vegetation index) derived from Landsat TM/ETM images. International Journal of Remote Sensing, 29, 1053-1073. https:// doi.org/10.1080/01431160701281072

Garay, G, Guineo, O. 1995. Conociendo la flora y montaña de “Torres del Paine”. Punta Arenas: Impresiones Don Bosco.

Gouveia, C., DaCamara, C.C., Trigo, R.M. 2010. Postfire recovery in Portugal based on spot/vegetation data. Natural Hazards and Earth System Science, 10, 673-684. https://doi.org/10.5194/nhess-10-673-2010

IEB (Instituto de Ecología y Biodiversidad, CL). 2012. Plan de Restauración Ecológica del Parque Nacional Torres del Paine afectado por incendio 2011-2012. Santiago: Ministerio del Medio Ambiente.

Jones, H, Vaughan, R. 2010. Remote sensing of vegetation: Principles, techniques and applications. New York: Oxford University Press.

Kushla, J., Ripple, W. 1998. Assessing wildfire effects with Landsat Thematic Mapper data. International Journal of Remote Sensing, 19, 2493-2507. https:// doi.org/10.1080/014311698214587

Liang, S., Li, X., Wang, J. 2012. Advanced remote sensing. Terrestrial information extraction and applications. Oxford: Academic Press.

Mattar C., Santamaría-Artigas, A., Durán-Alarcón, C. 2012. Estimación del área quemada en el Parque Nacional Torres del Paine utilizando datos de teledetección. Revista de Teledetección, 38, 36- 50. Disponible en http://www.aet.org.es/revistas/ revista38/Numero38_04.pdf (Último acceso: diciembre de 2017).

Navarro Cerrillo, RM., Hayas, A., García-Ferrer, A., Hernández Clemente, R., Duhalde, P., González, L. 2008. Caracterización de la situación posincendio en el área afectada por el incendio de 2005 en el Parque Nacional de Torres del Paine (Chile) a partir de imágenes multiespectrales. Revista Chilena de Historia Natural, 81, 95-110. https://doi.org/10.4067/ S0716-078X2008000100008

Peña, M. 2008. Relationships between remotely sensed surface parameters associated with the urban heat sink formation in Santiago, Chile. International Journal of Remote Sensing, 29(5), 4385-4404.

USGS (United States Gelogical Survey). USGS Global Visualization Viewer. Earth Resources Observation and Science Center (EROS). http://glovis.usgs.gov/. (Consultado el 10 de Noviembre de 2015).

Viedma, O., Meliá, J., Segarra, D., García-Haro, J. 1997. Modelling rates of ecosystem recovery after fires using Landsat TM data. Remote Sensing of Environment, 61, 383-398. https://doi.org/10.1016/ S0034-4257(97)00048-5

Villa-Martínez, R., Moreno, P. 2007. Pollen evidence for variations in the southern margin of the westerly winds in SW Patagonia over the last 12,600 years. Quaternary Research, 68, 400-409. https://doi. org/10.1016/j.yqres.2007.07.003

Zentrum für Satellitengestützte Kriseninformation (ZKI). Disaster Extent Map - Overview - Chile - Torres del Paine National Park. Deutsches Zentrum für Luft- und Raumfahrt (DLR). https://www.zki.dlr.de/map/2165. (Consultado el 2 de Febrero de 2016).

Abstract Views

3093
Metrics Loading ...

Metrics powered by PLOS ALM




 

This journal is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International

Universitat Politècnica de València

Official Journal of the Spanish Association of Remote Sensing

e-ISSN: 1988-8740    ISSN: 1133-0953           https://doi.org/10.4995/raet