Mapping Forest Fire Risk - A Case Study in Galicia (Spain)

[1]  Jagannath Aryal,et al.  Big data integration shows Australian bush-fire frequency is increasing significantly , 2016, Royal Society Open Science.

[2]  I. Yakubu,et al.  Review of methods for modelling forest fire risk and hazard , 2015 .

[3]  Monica G. Turner,et al.  Adapt to more wildfire in western North American forests as climate changes , 2017, Proceedings of the National Academy of Sciences.

[4]  Samsung Lim,et al.  Modelling spatial patterns of wildfire occurrence in South-Eastern Australia , 2016 .

[5]  Bakhtiar Feizizadeh,et al.  GIS-based forest fire risk mapping using the analytical network process and fuzzy logic , 2019, Journal of Environmental Planning and Management.

[6]  Haifeng Lin,et al.  A fuzzy inference and big data analysis algorithm for the prediction of forest fire based on rechargeable wireless sensor networks , 2017, Sustain. Comput. Informatics Syst..

[7]  X. Antonio-Némiga,et al.  Driving factors for forest fire occurrence in Durango State of Mexico: A geospatial perspective , 2010 .

[8]  Miodrag Regodić,et al.  GIS Multi-Criteria Analysis for Identifying and Mapping Forest Fire Hazard: Nevesinje, Bosnia and Herzegovina , 2018, Tehnicki vjesnik - Technical Gazette.

[9]  Tomaž Podobnikar,et al.  A probability model for long-term forest fire occurrence in the Karst forest management area of Slovenia , 2017 .

[10]  J. Randerson,et al.  Global estimation of burned area using MODIS active fire observations , 2005 .

[11]  Biswajeet Pradhan,et al.  Forest fire susceptibility and risk mapping using remote sensing and geographical information systems (GIS) , 2007 .

[12]  S. Ghosh,et al.  MODELING OF PARAMETERS FOR FOREST FIRE RISK ZONE MAPPING , 2018, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

[13]  Owen F Price,et al.  The potential for LiDAR technology to map fire fuel hazard over large areas of Australian forest. , 2016, Journal of environmental management.

[14]  T. Penman,et al.  Suppression resource decisions are the dominant influence on containment of Australian forest and grass fires. , 2018, Journal of environmental management.

[15]  A. Akay,et al.  USING AIRBORNE LIDAR DATA FOR ASSESSMENT OF FOREST FIRE FUEL LOADPOTENTIAL , 2017 .

[16]  Saeedeh Eskandari,et al.  A new approach for forest fire risk modeling using fuzzy AHP and GIS in Hyrcanian forests of Iran , 2017, Arabian Journal of Geosciences.

[17]  Warren B. Cohen,et al.  Object-based semi-automatic approach for forest structure characterization using lidar data in heterogeneous Pinus sylvestris stands. , 2008 .

[18]  Joaquín Martínez-Sánchez,et al.  Automatic Processing of Aerial LiDAR Data to Detect Vegetation Continuity in the Surroundings of Roads , 2020, Remote. Sens..

[19]  Krishna Prasad Vadrevu,et al.  Fire risk evaluation using multicriteria analysis—a case study , 2010, Environmental monitoring and assessment.

[20]  Emilio Chuvieco,et al.  Mapping the Spatial Distribution of Forest Fire Danger Using GIS , 1996, Int. J. Geogr. Inf. Sci..

[21]  Hamid Reza Pourghasemi,et al.  A comparative assessment of prediction capabilities of modified analytical hierarchy process (M-AHP) and Mamdani fuzzy logic models using Netcad-GIS for forest fire susceptibility mapping , 2016 .

[22]  Heiko Balzter,et al.  Mapping regional patterns of large forest fires in Wildland-Urban Interface areas in Europe. , 2016, Journal of environmental management.

[23]  Woo-Kyun Lee,et al.  Multi-Temporal Analysis of Forest Fire Probability Using Socio-Economic and Environmental Variables , 2019, Remote. Sens..

[24]  A. Bonyad,et al.  Evaluating the efficiency of the Dong model in determining fire vulnerability in Iran’s Zagros forests , 2018, Journal of Forestry Research.

[25]  David Riaño,et al.  Spectral mapping methods applied to LiDAR data: Application to fuel type mapping , 2019, Int. J. Appl. Earth Obs. Geoinformation.

[26]  Lei Wang,et al.  RAFFIA: Short-term Forest Fire Danger Rating Prediction via Multiclass Logistic Regression , 2018, Sustainability.

[27]  Saeedeh Eskandari,et al.  Fire danger assessment in Iran based on geospatial information , 2015, Int. J. Appl. Earth Obs. Geoinformation.

[28]  Hassan Abedi Gheshlaghi.  Using GIS to Develop a Model for Forest Fire Risk Mapping , 2019, Journal of the Indian Society of Remote Sensing.

[29]  N. Koutsias,et al.  Robust projections of Fire Weather Index in the Mediterranean using statistical downscaling , 2013, Climatic Change.

[30]  K. Pathak,et al.  Comparative analysis of multi-criteria probabilistic FR and AHP models for forest fire risk (FFR) mapping in Melghat Tiger Reserve (MTR) forest , 2018, Journal of Forestry Research.

[31]  Tarunpreet Bhatia,et al.  GIS-based evolutionary optimized Gradient Boosted Decision Trees for forest fire susceptibility mapping , 2018, Natural Hazards.

[32]  E. Chuvieco,et al.  Application of remote sensing and geographic information systems to forest fire hazard mapping. , 1989 .

[33]  K. Solaimani,et al.  Modeling forest fire risk in the northeast of Iran using remote sensing and GIS techniques , 2012, Natural Hazards.

[34]  J. R. Molina,et al.  Roadside vegetation planning and conservation: New approach to prevent and mitigate wildfires based on fire ignition potential , 2019, Forest Ecology and Management.

[35]  C. Tucker.  Red and photographic infrared linear combinations for monitoring vegetation , 1979 .

[36]  Ismael Vallejo-Villalta,et al.  Mapping Forest Fire Risk at a Local Scale—A Case Study in Andalusia (Spain) , 2019, Environments.

[37]  A. P. Dimitrakopoulos,et al.  Evaluation of the Canadian fire weather index system in an eastern Mediterranean environment , 2011 .

[38]  Corinne Lampin,et al.  A Review of the Main Driving Factors of Forest Fire Ignition Over Europe , 2013, Environmental Management.

[39]  C. Ricotta,et al.  Assessing the Influence of Roads on Fire Ignition: Does Land Cover Matter? , 2018, Fire.

[40]  Abdullah E. Akay,et al.  Gis-Based Multi-Criteria Decision Analysis for Forest Fire Risk Mapping , 2017 .

[41]  S. Mukherjee,et al.  Forest fire risk zone mapping from satellite imagery and GIS , 2002 .

[42]  Varela.  Fire Weather Index (FWI) classification for fire danger assessment applied in Greece , 2015 .

[43]  U. Pruthviraj,et al.  A Comparative Analysis of Forest Fire Risk Zone Mapping Methods with Expert Knowledge , 2019, Journal of the Indian Society of Remote Sensing.

[44]  Thomas Blaschke,et al.  Multi-criteria risk evaluation by integrating an analytical network process approach into GIS-based sensitivity and uncertainty analyses , 2018 .

[45]  Thomas Blaschke,et al.  Forest Fire Susceptibility and Risk Mapping Using Social/Infrastructural Vulnerability and Environmental Variables , 2019, Fire.

[46]  Nilton Cesar Fiedler,et al.  Applying GIS to develop a model for forest fire risk: A case study in Espírito Santo, Brazil. , 2016, Journal of environmental management.