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Original Articles

Assessment of seasonal forest fire risk using NOAA-AVHRR: a case study in central Mexico

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Pages 4991-5013 | Published online: 22 Sep 2009

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RonaldE. McRoberts, DanielN. M. Donoghue & Michel Deshayes. (2009) Preface: 2007 ForestSAT. International Journal of Remote Sensing 30:19, pages 4911-4914.
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Ana Novo, Hurem Dutal & Saeedeh Eskandari. (2024) Fire susceptibility modeling and mapping in Mediterranean forests of Turkey: a comprehensive study based on fuel, climatic, topographic, and anthropogenic factors. Euro-Mediterranean Journal for Environmental Integration.
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Daniel José Vega-Nieva, María Guadalupe Nava-Miranda, Jaime Briseño-Reyes, Pablito Marcelo López-Serrano, José Javier Corral-Rivas, María Isabel Cruz-López, Martin Cuahutle, Rainer Ressl, Ernesto Alvarado-Celestino & Robert E. Burgan. (2023) Modeling the Monthly Distribution of MODIS Active Fire Detections from a Satellite-Derived Fuel Dryness Index by Vegetation Type and Ecoregion in Mexico. Fire 7:1, pages 11.
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Daniel José Vega-Nieva, Jaime Briseño-Reyes, Pablito-Marcelo López-Serrano, José Javier Corral-Rivas, Marín Pompa-García, María Isabel Cruz-López, Martin Cuahutle, Rainer Ressl, Ernesto Alvarado-Celestino & Robert E. Burgan. (2023) Autoregressive Forecasting of the Number of Forest Fires Using an Accumulated MODIS-Based Fuel Dryness Index. Forests 15:1, pages 42.
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Magdalena Smigaj, Avinash Agarwal, Harm Bartholomeus, Mathieu Decuyper, Ahmed Elsherif, Arjen de Jonge & Lammert Kooistra. (2023) Thermal Infrared Remote Sensing of Stress Responses in Forest Environments: a Review of Developments, Challenges, and Opportunities. Current Forestry Reports 10:1, pages 56-76.
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Emre Çolak & Filiz Sunar. (2022) Investigating the usefulness of satellite-retrieved land surface temperature (LST) in pre- and post-fire spatial analysis. Earth Science Informatics 16:1, pages 945-963.
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Santos Daniel Chicas & Jonas Østergaard Nielsen. (2022) Who are the actors and what are the factors that are used in models to map forest fire susceptibility? A systematic review. Natural Hazards 114:3, pages 2417-2434.
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Michelle Farfán, Christian Dominguez, Alejandra Espinoza, Alejandro Jaramillo, Camilo Alcántara, Victor Maldonado, Israel Tovar & Alejandro Flamenco. (2021) Forest fire probability under ENSO conditions in a semi-arid region: a case study in Guanajuato. Environmental Monitoring and Assessment 193:10.
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Xiangchen Meng & Jie Cheng. (2020) Estimating Land and Sea Surface Temperature From Cross-Calibrated Chinese Gaofen-5 Thermal Infrared Data Using Split-Window Algorithm. IEEE Geoscience and Remote Sensing Letters 17:3, pages 509-513.
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Daniel Jose Vega-Nieva, Maria Guadalupe Nava-Miranda, Eric Calleros-Flores, Pablito Marcelo López-Serrano, Jaime Briseño-Reyes, Carlos López-Sánchez, Jose Javier Corral-Rivas, Eusebio Montiel-Antuna, Maria Isabel Cruz-Lopez, Rainer Ressl, Martin Cuahtle, Ernesto Alvarado-Celestino, Armando González-Cabán, Citlali Cortes-Montaño, Diego Pérez-Salicrup, Enrique Jardel-Pelaez, Enrique Jiménez, Stefano Arellano-Pérez, Juan Gabriel Álvarez-González & Ana Daria Ruiz-González. (2019) Temporal patterns of active fire density and its relationship with a satellite fuel greenness index by vegetation type and region in Mexico during 2003–2014. Fire Ecology 15:1.
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Xu Jia, Yong Gao, Baocheng Wei, Shan Wang, Guodong Tang & Zhonghua Zhao. (2019) Risk Assessment and Regionalization of Fire Disaster Based on Analytic Hierarchy Process and MODIS Data: A Case Study of Inner Mongolia, China. Sustainability 11:22, pages 6263.
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Riccardo Patriarca, Francesco Costantino & Giulio Di Gravio. (2019) Risk, safety, reliability and satellites: Chronicles of a fragmented research field. Journal of Space Safety Engineering 6:3, pages 201-211.
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Xiangchen Meng, Jie Cheng & Shugui Zhou. (2019) Retrieving Land Surface Temperature from High Spatial Resolution Thermal Infrared Data of Chinese Gaofen-5. Retrieving Land Surface Temperature from High Spatial Resolution Thermal Infrared Data of Chinese Gaofen-5.
Carlos Ivan Briones-Herrera, Daniel José Vega-Nieva, Norma Angélica Monjarás-Vega, Favian Flores-Medina, Pablito Marcelo Lopez-Serrano, José Javier Corral-Rivas, Artemio Carrillo-Parra, Miguel Ángel Pulgarin-Gámiz, Ernesto Alvarado-Celestino, Armando González-Cabán, Stéfano Arellano-Pérez, Juan Gabriel Álvarez-González, Ana Daría Ruiz-González & William Mathew Jolly. (2019) Modeling and Mapping Forest Fire Occurrence from Aboveground Carbon Density in Mexico. Forests 10:5, pages 402.
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Xiangchen Meng, Jie Cheng, Shaohua Zhao, Sihan Liu & Yunjun Yao. (2019) Estimating Land Surface Temperature from Landsat-8 Data using the NOAA JPSS Enterprise Algorithm. Remote Sensing 11:2, pages 155.
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D. Vega-Nieva, J. Briseño-Reyes, M. Nava-Miranda, E. Calleros-Flores, P. López-Serrano, J. Corral-Rivas, E. Montiel-Antuna, M. Cruz-López, M. Cuahutle, R. Ressl, E. Alvarado-Celestino, A. González-Cabán, E. Jiménez, J. Álvarez-González, A. Ruiz-González, R. Burgan & H. Preisler. (2018) Developing Models to Predict the Number of Fire Hotspots from an Accumulated Fuel Dryness Index by Vegetation Type and Region in Mexico. Forests 9:4, pages 190.
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Pompa-García Marín, Camarero J. Julio, Rodríguez-Trejo Dante Arturo & Vega-Nieva Daniel Jose. (2018) Drought and Spatiotemporal Variability of Forest Fires Across Mexico. Chinese Geographical Science 28:1, pages 25-37.
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Xiangchen Meng, Jie Cheng & Shunlin Liang. (2017) Estimating Land Surface Temperature from Feng Yun-3C/MERSI Data Using a New Land Surface Emissivity Scheme. Remote Sensing 9:12, pages 1247.
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Yuan Yang, Wen Cai & Jian Yang. (2017) Evaluation of MODIS Land Surface Temperature Data to Estimate Near-Surface Air Temperature in Northeast China. Remote Sensing 9:5, pages 410.
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Vanessa S. Mascorro, Nicholas C. Coops, Werner A. Kurz & Marcela Olguín. (2014) Attributing changes in land cover using independent disturbance datasets: a case study of the Yucatan Peninsula, Mexico. Regional Environmental Change 16:1, pages 213-228.
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Leopoldo GaliciaCatherine PotvinChristian Messier. (2015) Maintaining the high diversity of pine and oak species in Mexican temperate forests: a new management approach combining functional zoning and ecosystem adaptability. Canadian Journal of Forest Research 45:10, pages 1358-1368.
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Mar Bisquert, Juan Sánchez & Vicente Caselles. (2014) Modeling Fire Danger in Galicia and Asturias (Spain) from MODIS Images. Remote Sensing 6:1, pages 540-554.
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R. Van De Kerchove, S. Lhermitte, S. Veraverbeke & R. Goossens. (2013) Spatio-temporal variability in remotely sensed land surface temperature, and its relationship with physiographic variables in the Russian Altay Mountains. International Journal of Applied Earth Observation and Geoinformation 20, pages 4-19.
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Mar Bisquert, Eduardo Caselles, Juan Manuel Sánchez & Vicente Caselles. (2012) Application of artificial neural networks and logistic regression to the prediction of forest fire danger in Galicia using MODIS data. International Journal of Wildland Fire 21:8, pages 1025.
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Sander Veraverbeke, Willem W. Verstraeten, Stefaan Lhermitte, Ruben Van De Kerchove & Rudi Goossens. (2012) Assessment of post-fire changes in land surface temperature and surface albedo, and their relation with fire - burn severity using multitemporal MODIS imagery. International Journal of Wildland Fire 21:3, pages 243.
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Wenliang Liu, Shixin Wang, Yi Zhou, Litao Wang & Shujie Zhang. (2010) Analysis of forest potential fire environment based on GIS and RS. Analysis of forest potential fire environment based on GIS and RS.

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