Modeling and mapping wildfire potential in Mexico based on vegetation and drought conditions using remote sensing and GIS technology
Document Type: Conference Paper
Author(s): F. Mora; G. Hernandez-Cardenas
Editor(s): Leon F. Neuenschwander; Kevin C. Ryan; Greg E. Gollberg
Publication Year: 2000

Cataloging Information

  • agriculture
  • arid regions
  • catastrophic fires
  • coniferous forests
  • cover
  • deciduous forests
  • digital data collection
  • droughts
  • ENSO
  • ENSO effects on vegetation
  • fire management
  • fire size
  • fires in Mexico
  • fuel moisture
  • GIS
  • GIS fire potential model
  • habitat conversion
  • habitat suitability
  • Idaho
  • JFSP - Joint Fire Science Program
  • landscape ecology
  • light
  • Mexico
  • precipitation
  • remote sensing
  • slash
  • statistical analysis
  • tropical forests
  • wildfires
Record Maintained By:
Record Last Modified: March 16, 2021
FRAMES Record Number: 44191
Tall Timbers Record Number: 19510
TTRS Location Status: In-file
TTRS Abstract Status: Fair use, Okay, Reproduced by permission

This bibliographic record was either created or modified by the Tall Timbers Research Station and Land Conservancy and is provided without charge to promote research and education in Fire Ecology. The E.V. Komarek Fire Ecology Database is the intellectual property of the Tall Timbers Research Station and Land Conservancy.


An increasing severity in the occurrence of wildfires in Mexico has been recently associated with the activity of 'El Nino' Southern Oscillation (ENSO). A spatio-temporal analysis of fire potential indicated that indeed, catastrophic fires could occur due to unusual droughts and dry fuel conditions during ENSO years. In order to evaluate the effects that ENSO may excerpt on fire activity; estimates of fire potential were calculated for several years using satellite imagery and climatic data, and implementing a probabilistic GIS fire model. Fire probability was calcuted from multi-temporal vegetation information (derived from multi-temporal AVHRR-NDVI imagery), and drought conditions are derived from precipitation data. When applied to land cover data representing several years, the temporal trends of fire potential for the entire country were analyzed. This model is particularly useful for temporal analysis, and it has been partially validated by comparing fire locations and fire potential for the 1998-fire season. © University of Idaho 2000. Abstract reproduced by permission.

Online Link(s):
Mora, F., and G. Hernandez-Cardenas. 2000. Modeling and mapping wildfire potential in Mexico based on vegetation and drought conditions using remote sensing and GIS technology, in Neuenschwander, L. F., Ryan, K. C., and Gollberg, G. E., Joint Fire Science Conference and Workshop Proceedings: 'Crossing the Millennium: Integrating Spatial Technologies and Ecological Principles for a New Age in Fire Management'. Boise, Idaho. University of Idaho and the International Association of Wildland Fire,Moscow, ID and Fairfield, WA. Vol. II, p. 25-38,