A remote sensing-based approach to estimating the fire spread rate parameter for individual burn patch extraction

References

• Abatzoglou, J. T., A. P. Williams, L. Boschetti, M. Zubkova, and C. A. Kolden. 2018. “Global Patterns of Interannual Climate–fire Relationships.” Global Change Biology 24 (11): 5164. doi:https://doi.org/10.1111/gcb.14405.
   PubMed Web of Science ®Google Scholar
• Albini, F. A. 1985. “A Model for Fire Spread in Wildland Fuels.” Combustion Science and Technology 42 (5–6): 229. doi:https://doi.org/10.1080/00102208508960381.
   Web of Science ®Google Scholar
• Alexander, M. E. and M. G. Cruz. 2013. “Limitations on the Accuracy of Model Predictions of Wildland Fire Behaviour: A State-of-the-Knowledge Overview.” The Forestry Chronicle 89 (3): 372. doi:https://doi.org/10.5558/tfc2013-067.
   Web of Science ®Google Scholar
• Alexandridis, A., D. Vakalis, C. I. Siettos, and G. V. Bafas. 2008. “A Cellular Automata Model for Forest Fire Spread Prediction: The Case of the Wildfire That Swept Through Spetses Island in 1990.” Applied Mathematics and Computation 204 (1): 191. doi:https://doi.org/10.1016/j.amc.2008.06.046.
   Web of Science ®Google Scholar
• Andela, N., D. C. Morton, L. Giglio, R. Paugam, Y. Chen, S. Hantson, G. R. van der Werf, and J. T. Randerson. 2019. “The Global Fire Atlas of Individual Fire Size, Duration, Speed and Direction.” Earth System Science Data 11 (2): 529. doi:https://doi.org/10.5194/essd-11-529-2019.
   Web of Science ®Google Scholar
• Andela, N., D. C. Morton, L. Giglio, Y. Chen, G. R. van der Werf, P. S. Kasibhatla, R. S. DeFries et al. 2017. ”A Human-Driven Decline in Global Burned Area.” Science 356 (6345): 1356. doi:https://doi.org/10.1126/science.aal4108.
   PubMed Web of Science ®Google Scholar
• Archibald, S., C. E. R. Lehmann, J. L. Gomez-Dans, and R. A. Bradstock. 2013. “Defining Pyromes and Global Syndromes of Fire Regimes.” Proceedings of the National Academy of Sciences 110 (16): 6442. doi:https://doi.org/10.1073/pnas.1211466110.
   PubMed Web of Science ®Google Scholar
• Archibald, S. and D. P. Roy. 2009. “Identifying Individual Fires from Satellite-Derived Burned Area Data.” In International Geoscience and Remote Sensing Symposium (IGARSS), Vol. 3. doi:https://doi.org/10.1109/IGARSS.2009.5417974.
   Google Scholar
• Artés, T., D. Oom, D. de Rigo, T. H. Durrant, P. Maianti, G. Libertà, and J. San-Miguel-Ayanz. 2019. “A Global Wildfire Dataset for the Analysis of Fire Regimes and Fire Behaviour.” Scientific Data 6 (1): 296. doi:https://doi.org/10.1038/s41597-019-0312-2.
   PubMed Web of Science ®Google Scholar
• Benali, A., A. Russo, A. C. L. Sá, R. M. S. Pinto, O. Price, N. Koutsias, and J. M. C. Pereira. 2016. “Determining Fire Dates and Locating Ignition Points with Satellite Data.” Remote Sensing 8 (4): 326. doi:https://doi.org/10.3390/rs8040326.
   Web of Science ®Google Scholar
• Berner, L. T., P. S. A. Beck, M. M. Loranty, H. D. Alexander, M. C. Mack, and S. J. Goetz. 2016. ”Siberian Boreal Forest Aboveground Biomass and Fire Scar Maps, Russia, 1969-2007.” Ornl Daac, doi:https://doi.org/10.3334/ORNLDAAC/1321.
   Google Scholar
• Boschetti, L., D. P. Roy, L. Giglio, H. Huang, M. Zubkova, and M. L. Humber. 2019. “Global Validation of the Collection 6 MODIS Burned Area Product.” Remote Sensing of Environment 235 (December): 111490. doi:https://doi.org/10.1016/j.rse.2019.111490.
   Web of Science ®Google Scholar
• Chuvieco, E., J. Lizundia-Loiola, M. L. Pettinari, R. Ramo, M. Padilla, K. Tansey, F. Mouillot et al. 2018. ”Generation and Analysis of a New Global Burned Area Product Based on MODIS 250-M Reflectance Bands and Thermal Anomalies.” Earth System Science Data 10 (4): 2015. doi:https://doi.org/10.5194/essd-10-2015-2018.
   Web of Science ®Google Scholar
• Cruz, M. G., J. S. Gould, M. E. Alexander, A. L. Sullivan, W. L. McCaw, and S. Matthews. 2015. “Empirical-Based Models for Predicting Head-Fire Rate of Spread in Australian Fuel Types.” Australian Forestry 78 (3): 118. doi:https://doi.org/10.1080/00049158.2015.1055063.
   Web of Science ®Google Scholar
• Cruz, M. G., M. E. Alexander, A. L. Sullivan, J. S. Gould, and M. Kilinc. 2018. “Assessing Improvements in Models Used to Operationally Predict Wildland Fire Rate of Spread.” Environmental Modelling & Software 105 (July): 54. doi:https://doi.org/10.1016/j.envsoft.2018.03.027.
   Web of Science ®Google Scholar
• Cruz, M. G., M. E. Alexander, and R. H. Wakimoto. 2005. “Development and Testing of Models for Predicting Crown Fire Rate of Spread in Conifer Forest Stands.” Canadian Journal of Forest Research 35 (7): 1626. doi:https://doi.org/10.1139/x05-085.
   Web of Science ®Google Scholar
• Cruz, M. G., S. Matthews, J. Gould, P. Ellis, M. Henderson, I. Knight, and J. Watters. 2010. “Fire Dynamics in Mallee-Heath: Fuel, Weather and Fire Behaviour Prediction in South Australian Semi-Arid Shrublands.” Bushfire Cooperative Research Centre, Report A 10 1–140 .
   Google Scholar
• Data.SA. 2020. Last Bushfire and Prescribed Burn Boundaries. Government of South Australia. https://data.sa.gov.au/data/dataset/last-fire.
   Google Scholar
• Dinerstein, E., D. Olson, A. Joshi, C. Vynne, N. D. Burgess, E. Wikramanayake, N. Hahn et al. 2017. ”An Ecoregion-Based Approach to Protecting Half the Terrestrial Realm.” BioScience 67 (6): 534. doi:https://doi.org/10.1093/biosci/bix014.
   PubMed Web of Science ®Google Scholar
• Duff, T. J., D. M. Chong, and K. G. Tolhurst. 2013. “Quantifying Spatio-Temporal Differences Between Fire Shapes: Estimating Fire Travel Paths for the Improvement of Dynamic Spread Models.” Environmental Modelling & Software 46 (August): 33. doi:https://doi.org/10.1016/j.envsoft.2013.02.005.
   Web of Science ®Google Scholar
• Dupire, S., T. Curt, S. Bigot, and T. Fréjaville. 2019. “Vulnerability of Forest Ecosystems to Fire in the French Alps.” European Journal of Forest Research 138 (5): 813. doi:https://doi.org/10.1007/s10342-019-01206-1.
   Web of Science ®Google Scholar
• ESA. 2017. “Land Cover CCI Product User Guide Version 2.” Tech. Rep. http://maps.elie.ucl.ac.be/CCI/viewer/download/ESACCI-LC-Ph2-PUGv2_2.0.pdf
   Google Scholar
• Ester, M., H.-P. Kriegel, J. Sander, and X. Xu. 1996. “A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise.” Kdd 96: 226.
   Google Scholar
• Fatichi, S., V. Y. Ivanov, and E. Caporali. 2012. “Investigating Interannual Variability of Precipitation at the Global Scale: Is There a Connection with Seasonality?” Journal of Climate 25 (16): 5512. doi:https://doi.org/10.1175/JCLI-D-11-00356.1.
   Web of Science ®Google Scholar
• Giglio, L., J. Descloitres, C. O. Justice, and Y. J. Kaufman. 2003. “An Enhanced Contextual Fire Detection Algorithm for MODIS.” Remote Sensing of Environment 87 (2): 273. doi:https://doi.org/10.1016/S0034-4257(03)00184-6.
   Web of Science ®Google Scholar
• Giglio, L., L. Boschetti, D. P. Roy, M. L. Humber, and C. O. Justice. 2018. “The Collection 6 MODIS Burned Area Mapping Algorithm and Product.” Remote Sensing of Environment 217: 72. doi:https://doi.org/10.1016/j.rse.2018.08.005.
   PubMed Web of Science ®Google Scholar
• Giglio, L., W. Schroeder, and C. O. Justice. 2016. “The Collection 6 MODIS Active Fire Detection Algorithm and Fire Products.” Remote Sensing of Environment 178 (June): 31. doi:https://doi.org/10.1016/j.rse.2016.02.054.
   PubMed Web of Science ®Google Scholar
• Gould, J. S. and A. L. Sullivan. 2020. “Two Methods for Calculating Wildland Fire Rate of Forward Spread.” International Journal of Wildland Fire 29 (3): 272. doi:https://doi.org/10.1071/WF19120.
   Web of Science ®Google Scholar
• Guindon, L., P. Bernier, S. Gauthier, G. Stinson, P. Villemaire, and A. Beaudoin. 2018. “Missing Forest Cover Gains in Boreal Forests Explained.” Ecosphere 9 (1): e02094. doi:https://doi.org/10.1002/ecs2.2094.
   Web of Science ®Google Scholar
• Hall, J. V., T. V. Loboda, L. Giglio, and G. W. McCarty. 2016. “A MODIS-Based Burned Area Assessment for Russian Croplands: Mapping Requirements and Challenges.” Remote Sensing of Environment 184 (October): 506. doi:https://doi.org/10.1016/j.rse.2016.07.022.
   Web of Science ®Google Scholar
• Hansen, M. C., P. V. Potapov, R. Moore, M. Hancher, S. A. Turubanova, A. Tyukavina, D. Thau et al. 2013. ”High-Resolution Global Maps of 21st-Century Forest Cover Change.” Science 342 (6160): 850. doi:https://doi.org/10.1126/science.1244693.
   PubMed Web of Science ®Google Scholar
• Hantson, S., G. Lasslop, S. Kloster, and E. Chuvieco. 2015. “Anthropogenic Effects on Global Mean Fire Size.” International Journal of Wildland Fire 24 (5): 589. doi:https://doi.org/10.1071/wf14208.
   Web of Science ®Google Scholar
• Hantson, S., S. Pueyo, and E. Chuvieco. 2015. “Global Fire Size Distribution is Driven by Human Impact and Climate.” Global Ecology and Biogeography 24 (1): 77. doi:https://doi.org/10.1111/geb.12246.
   Web of Science ®Google Scholar
• Humber, M. L., L. Boschetti, and L. Giglio. 2020. “Assessing the Shape Accuracy of Coarse Resolution Burned Area Identifications.” IEEE Transactions on Geoscience and Remote Sensing 58 (3): 1516. doi:https://doi.org/10.1109/TGRS.2019.2943901.
   Web of Science ®Google Scholar
• Humber, M. L., L. Boschetti, L. Giglio, and C. O. Justice. 2019. “Spatial and Temporal Intercomparison of Four Global Burned Area Products.” International Journal of Digital Earth 12: 4. doi:https://doi.org/10.1080/17538947.2018.1433727.
   Web of Science ®Google Scholar
• Johnston, J. M., M. J. Wheatley, M. J. Wooster, R. Paugam, G. M. Davies, and K. A. DeBoer. 2018. “Flame-Front Rate of Spread Estimates for Moderate Scale Experimental Fires are Strongly Influenced by Measurement Approach.” Fire 1 (1): 16. doi:https://doi.org/10.3390/fire1010016.
   Google Scholar
• Lasslop, G., A. I. Coppola, A. Voulgarakis, C. Yue, and S. Veraverbeke. 2019. “Influence of Fire on the Carbon Cycle and Climate.” Current Climate Change Reports 5 (2): 112. doi:https://doi.org/10.1007/s40641-019-00128-9.
   Web of Science ®Google Scholar
• Laurent, P., F. Mouillot, C. Yue, P. Ciais, M. V. Moreno, and J. M. P. Nogueira. 2018. “FRY, a Global Database of Fire Patch Functional Traits Derived from Space-Borne Burned Area Products.” Scientific Data 5 (July): 180132. doi:https://doi.org/10.1038/sdata.2018.132.
   PubMed Web of Science ®Google Scholar
• Loboda, T. V. and I. A. Csiszar. 2007. “Reconstruction of Fire Spread Within Wildland Fire Events in Northern Eurasia from the MODIS Active Fire Product.” Global and Planetary Change 56 (3): 258. doi:https://doi.org/10.1016/j.gloplacha.2006.07.015.
   Web of Science ®Google Scholar
• Loboda, T. V. and J. V. Hall. 2017. “ABoVe: Wildfire Date of Burning Within Fire Scars Across Alaska and Canada, 2001-2015.” ORNL DAAC, December. doi:https://doi.org/10.3334/ORNLDAAC/1559.
   Google Scholar
• Matthews, S., A. L. Sullivan, P. Watson, and R. J. Williams. 2012. “Climate Change, Fuel and Fire Behaviour in a Eucalypt Forest.” Global Change Biology 18 (10): 3212. doi:https://doi.org/10.1111/j.1365-2486.2012.02768.x.
   PubMed Web of Science ®Google Scholar
• McCaw, W. L., J. S. Gould, N. P. Cheney, P. F. M. Ellis, and W. R. Anderson. 2012. “Changes in Behaviour of Fire in Dry Eucalypt Forest as Fuel Increases with Age.” Forest Ecology and Management 271 (May): 170. doi:https://doi.org/10.1016/j.foreco.2012.02.003.
   Web of Science ®Google Scholar
• N’-Dri, A. B., T. D. Soro, J. Gignoux, K. Dosso, M. Koné, J. K. N’-Dri, N. A. Koné, and S. Barot. 2018. “Season Affects Fire Behavior in Annually Burned Humid Savanna of West Africa.” Fire Ecology 14 (2): 5. doi:https://doi.org/10.1186/s42408-018-0005-9.
   Web of Science ®Google Scholar
• NAFI. 2019. “Northern Australian Fire Information.” https://firenorth.org.au/nafi3/
   Google Scholar
• Oom, D., P. C. Silva, I. Bistinas, and J. M. C. Pereira. 2016. “Highlighting Biome-Specific Sensitivity of Fire Size Distributions to Time-Gap Parameter Using a New Algorithm for Fire Event Individuation.” Remote Sensing 8 (8). doi:https://doi.org/10.3390/rs8080663.
   Web of Science ®Google Scholar
• Parks, S. A. 2014. “Mapping Day-of-Burning with Coarse-Resolution Satellite Fire-Detection Data.” International Journal of Wildland Fire 23 (2): 215. doi:https://doi.org/10.1071/WF13138.
   Web of Science ®Google Scholar
• Pedregosa, F., G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel et al. 2011. ”Scikit-Learn: Machine Learning in Python.” Journal of Machine Learning Research 12:2825.
   Web of Science ®Google Scholar
• Picotte, J. J., K. Bhattarai, D. Howard, J. Lecker, J. Epting, B. Quayle, N. Benson, and K. Nelson. 2020. “Changes to the Monitoring Trends in Burn Severity Program Mapping Production Procedures and Data Products.” Fire Ecology 16 (1): 16. doi:https://doi.org/10.1186/s42408-020-00076-y.
   Web of Science ®Google Scholar
• Pinto, R. M. S., A. Benali, A. C. L. Sá, P. M. Fernandes, P. M. M. Soares, R. M. Cardoso, R. M. Trigo, and J. M. C. Pereira. 2016. “Probabilistic Fire Spread Forecast as a Management Tool in an Operational Setting.” SpringerPlus 5 (1): 1205. doi:https://doi.org/10.1186/s40064-016-2842-9.
   PubMedGoogle Scholar
• Rodrigues, J. A., R. Libonati, A. A. Pereira, J. M. P. Nogueira, F. L. M. Santos, L. F. Peres, A. Santa Rosa et al. 2019. ”How Well Do Global Burned Area Products Represent Fire Patterns in the Brazilian Savannas Biome? an Accuracy Assessment of the MCD64 Collections.” International Journal of Applied Earth Observation and Geoinformation 78 (June): 318. doi:https://doi.org/10.1016/J.JAG.2019.02.010.
   Web of Science ®Google Scholar
• San-Miguel-Ayanz, J., E. Schulte, G. Schmuck, A. Camia, P. Strobl, G. Liberta, C. Giovando et al. 2012. ”Comprehensive Monitoring of Wildfires in Europe: The European Forest Fire Information System (EFFIS).” In Approaches to Managing Disaster - Assessing Hazards, Emergencies and Disaster Impacts, doi:https://doi.org/10.5772/28441.
   Google Scholar
• Schroeder, W., E. Prins, L. Giglio, I. Csiszar, C. Schmidt, J. Morisette, and D. Morton. 2008. “Validation of GOES and MODIS Active Fire Detection Products Using ASTER and ETM+ Data.” Remote Sensing of Environment 112 (5): 2711. doi:https://doi.org/10.1016/j.rse.2008.01.005.
   Web of Science ®Google Scholar
• Sullivan, A. L. 2010. ”Chapter 5 - Grassland Fire Management in Future Climate.” In Advances in Agronomy, edited by D. L. Sparks, Vol. 106 vols., p. 173. Academic Press. doi:https://doi.org/10.1016/S0065-2113(10)06005-0.
   Google Scholar
• Thonicke, K., A. Spessa, I. C. Prentice, S. P. Harrison, L. Dong, and C. Carmona-Moreno. 2010. “The Influence of Vegetation, Fire Spread and Fire Behaviour on Biomass Burning and Trace Gas Emissions: Results from a Process-Based Model.” Biogeosciences 7 (6): 1991. doi:https://doi.org/10.5194/bg-7-1991-2010.
   Web of Science ®Google Scholar
• Thorsteinsson, T., B. Magnusson, and G. Gudjonsson. 2011. “Large Wildfire in Iceland in 2006: Size and Intensity Estimates from Satellite Data.” International Journal of Remote Sensing 32 (1): 17. doi:https://doi.org/10.1080/01431160903439858.
   Web of Science ®Google Scholar
• Veraverbeke, S., F. Sedano, S. J. Hook, J. T. Randerson, Y. Jin, and B. M. Rogers. 2014. “Mapping the Daily Progression of Large Wildland Fires Using MODIS Active Fire Data.” International Journal of Wildland Fire 23 (5): 655. doi:https://doi.org/10.1071/WF13015.
   Web of Science ®Google Scholar
• Yue, C., P. Ciais, P. Cadule, K. Thonicke, and S. Archibald. 2014. “Modelling the role of fires in the terrestrial carbon balance by incorporating SPITFIRE into the global vegetation model ORCHIDEE–Part 1: simulating historical global burned area and fire regimes Geoscientific Model Development 7 6 2747–2767 doi:https://doi.org/10.5194/gmd-7-2747-2014 .” .
   Web of Science ®Google Scholar
• Zubkova, M., L. Boschetti, J. T. Abatzoglou, and L. Giglio. 2019. “Changes in Fire Activity in Africa from 2002 to 2016 and Their Potential Drivers.” Geophysical Research Letters 46 (13): 7643. doi:https://doi.org/10.1029/2019GL083469.
   PubMed Web of Science ®Google Scholar