Forest Fires and Climate Correlation in Mexico State: A Report Based on MODIS

Xanat Antonio; Edward Alan Ellis

doi:10.4236/ars.2015.44023

Home > Journals > Computer Science & Communications > ARS

Advances in Remote Sensing > Vol.4 No.4, December 2015

Forest Fires and Climate Correlation in Mexico State: A Report Based on MODIS ()

¹Autonomous University of Mexico State, Geography Faculty, Toluca, Mexico.
²Tropical Research Center (CITRO), Universidad Veracruzana, Veracruz, Mexico.

DOI: 10.4236/ars.2015.44023 PDF HTML XML 4,115 Downloads 4,670 Views Citations

Abstract

Forest fires are one of the most important threats for forests in the State of Mexico. Therefore, understanding their geographical patterns is a priority for the design of forest management strategies. We processed the records obtained with the MOD14A2 product (for thermal anomalies and fire) of MODIS sensor. Such scenes correspond to dry seasons (from March 15 to June 30) from 2000 to 2012 in the State of Mexico. We analyzed such records in a GIS environment to learn their spatial patterns and establish their geographical correlations as a first step to understand the causal agents of forest fires. As a result, forest fires in the State of Mexico showed a clustered spatial trend with a southwest tendency and a slight spatial relation with total winter precipitation and maximal temperature in summer.

Keywords

Forest Fires, MODIS Product, State of Mexico, Spatial Patterns

Share and Cite:

Antonio, X. and Ellis, E. (2015) Forest Fires and Climate Correlation in Mexico State: A Report Based on MODIS. Advances in Remote Sensing, 4, 280-286. doi: 10.4236/ars.2015.44023.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	Chuvieco, E. (1999) Remote Sensing of Large Wildfires in the Mediterranean European Basin. Springer, Berlin. http://dx.doi.org/10.1007/978-3-642-60164-4
[2]	Ganteaume, A., Camia, A., Jappiot, M., San-Miguel-Ayanz, J., Long-Fournel, M. and Lampin, C. (2013) A Review of the Main Driving Factors of Forest Fire Ignition over Europe. Environment Management, 51, 651-662. http://dx.doi.org/10.1007/s00267-012-9961-z
[3]	Barrett, K., Kasischke, E.S., McGuire, A.D., Turetsky, M.R. and Kane, E.S. (2010) Modeling Fire Severity in Black Spruce Stands in the Alaskan Boreal Forest Using Spectral and Non-Spectral Geospatial Data. Remote Sensing of Environment, 114, 1494-1503. http://dx.doi.org/10.1016/j.rse.2010.02.001
[4]	Durão, R.M., Pereira, M.J., Branquinho, C. and Soares, A. (2010) Assessing Spatial Uncertainty of the Portuguese Fire Risk through Direct Sequential Simulation. Ecological Modelling, 221, 27-33. http://dx.doi.org/10.1016/j.ecolmodel.2009.09.004
[5]	Romero-Calcerrada, R., Barrio-Parra, F., Millington, J.D.A. and Novillo, C.J. (2010) Spatial Modelling of Socioeconomic Data to Understand Patterns of Human-Caused Wildfire Ignition Risk in the SW of Madrid (Central Spain). Ecological Modelling, 221, 34-45. http://dx.doi.org/10.1016/j.ecolmodel.2009.08.008
[6]	Massada, A.B., Radeloff, V.C., Stewart, S.I. and Hawbaker, T.J. (2009) Wildfire Risk in the Wildland-Urban Interface: A Simulation Study in Northwestern Wisconsin. Forest Ecology and Management, 258, 1990-1999. http://dx.doi.org/10.1016/j.foreco.2009.07.051
[7]	Carmel, Y., Paz, S., Jahashan, F. and Shoshany, M. (2009) Assessing Fire Risk Using Monte Carlo Simulations of Fire Spread. Forest Ecology and Management, 257, 370-377. http://dx.doi.org/10.1016/j.foreco.2008.09.039
[8]	Villers, M.A. (2006) Incendios Forestales. Ciencias, 81, 60-66. http://www.redalyc.org/pdf/644/64408110.pdf
[9]	Muñoz-Robles, C.A., Treviño-Garza, E.J., Verástegui-Chávez, J., Jiménez-Pérez, J. and Aguirre-Calderón, O.A. (2005) Desarrollo de un modelo espacial para la evaluación del peligro de incendios forestales en la Sierra Madre Oriental de México. Investigaciones Geográficas, 56, 101-117. http://www.redalyc.org/articulo.oa?id=56905608
[10]	Avila-Flores, D., Pompa-Garcia, M., Antonio-Nemiga, X., Rodriguez-Trejo, D.A., Vargas-Perez, E. and Santillan-Perez, J. (2010) Driving Factors for Forest Fire Occurrence in Durango State of Mexico: A Geospatial Perspective. Chinese Geographical Science, 20, 491-497. http://dx.doi.org/10.1007/s11769-010-0437-x
[11]	Rivas, I., Fragoso, N.J., García, J., Rivas, E., Díaz, E.P. and Sanchez J.C. (2000) Incendios Forestales en el Estado de México en el periodo de Diciembre de 1997 a junio de 1998. Ciencia Ergo Sum, 6, 301-309. http://www.redalyc.org:9081/home.oa?cid=275957
[12]	IGECEM (2013) Información geográfica del estado de México. Instituto de Información e investigación geográfica, estadística y catastral del Estado de México (IGECEM). Gobierno del Estado de México. http://igecem.edomex.gob.mx/indole_social
[13]	Nava, G., Endara A., Regil, H.H., Estrada, C., Arriaga, C. and Mass, S. (2009) Atlas Forestal del Estado de México. 1era. Edición. Universidad Autónoma del Estado de México-ICAR. Toluca, Estado de México.
[14]	INEGI (2015) Estadísticas Históricas de México. Instituto Nacional de Estadística Geografía e Informática (INEGI). Aguascalientes, México. http://www.inegi.org.mx/prod_serv/contenidos/espanol/bvinegi/productos/nueva_estruc/HyM2014/22.%20 MedioAmbiente.pdf
[15]	Roy, D., Lewis, P.E. and Justice, C.O. (2002) Burned Area Mapping Using Multi-Temporal Moderate Spatial Resolution Data-a Bi-Directional Reflectance Model-Based Expectation Approach. Remote Sensing of Environment, 83, 263-286. http://dx.doi.org/10.1016/S0034-4257(02)00077-9
[16]	Bastarrika, A., Chuvieco, E. and Martín, M.P. (2008) Comparación de productos de área quemada obtenidos mediante imágenes de satélite en la Península ibérica. UNED. Espacio, Tiempo y Forma, 1, 33-47. http://revistas.uned.es/index.php/ETFVI/article/view/1458