W. M. Jolly

Tree crown injury from wildland fires: causes, measurement and ecological and physiological consequences

S. Hood, J. Varner, J. Hiers, 2021, The New phytologist.

Predicting forest fire kernel density at multiple scales with geographically weighted regression in Mexico.

Marín Pompa-García, Carlos Ivan Briones-Herrera, Daniel José Vega-Nieva, 2020, The Science of the total environment.

Fuel-Specific Aggregation of Active Fire Detections for Rapid Mapping of Forest Fire Perimeters in Mexico

Norma Angélica Monjarás-Vega, D. Vega-Nieva, P. M. López-Serrano, 2022, Forests.

Near Real-Time Automated Early Mapping of the Perimeter of Large Forest Fires from the Aggregation of VIIRS and MODIS Active Fires in Mexico

Ana Daría Ruiz-González, Sean A. Parks, Stéfano Arellano-Pérez, 2020, Remote. Sens..

Near-term probabilistic forecast of significant wildfire events for the Western United States

D. Calkin, H. Preisler, K. Riley, 2016 .

Modeling and Mapping Forest Fire Occurrence from Aboveground Carbon Density in Mexico

Ana Daría Ruiz-González, Juan Gabriel Álvarez-González, Stéfano Arellano-Pérez, 2019, Forests.

Spatial Predictions of Human and Natural-Caused Wildfire Likelihood across Montana (USA)

Norma Angélica Monjarás-Vega, D. Vega-Nieva, P. Freeborn, 2022, Forests.