Spatial patterns of fire recurrence using remote sensing and GIS in the Brazilian savanna: Serra do Tombador Nature Reserve, Brazil

Remote Sensing

Volumn 6, Issue 10, 2014, Pages 9873-9894

  Daldegan, Gabriel Antunes ^a   de Carvalho Júnior, Osmar Abílio ^a   Guimarães, Renato Fontes ^a   Gomes, Roberto Arnaldo Trancoso ^a   Ribeiro, Fernanda de Figueiredo ^a   McManus, Concepta ^a  

^a UNIVERSITY OF BRASILIA   (Brazil)

Author keywords

Burnt area mapping; Cross tabulation; Fire recurrence; GIS; Landsat; Landscape metrics; Remote sensing

Indexed keywords

BIODIVERSITY; FIRE HAZARDS; GEOGRAPHIC INFORMATION SYSTEMS; REMOTE SENSING;

ANNUAL PROBABILITIES; BURNT AREAS; CROSS-TABULATION; LANDSAT; LANDSCAPE METRICS; MAHALANOBIS DISTANCES; REMOTE SENSING AND GIS; VISUAL INTERPRETATION;

FIRES;

EID: 84923593496     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs6109873     Document Type: Article

References (87)

1. Miranda, H.S.; Neto, W.N.; Neves, B.M.C. Caracterização das queimadas de cerrado. In Efeitos Do Regime Do Fogo Sobre a Estrutura De Comunidades De Cerrado: Resultados do Projeto Fogo, 1st ed.; Miranda, H.S., Ed.; IABAMA/MMA: Brasilia, Brazil, 2010; Volume 1, pp. 23-33.
2. Salgado-Labouriou, M.L.; Ferraz-Vincentini, K.R. Fire in the Cerrado 32,000 years ago. Curr. Res. Pleistocene 1994, 11, 85-87.
3. Ramos-Neto, M.B.; Pivello. V.R. Lightning fires in a Brazilian savanna national park: Rethinking management strategies. Environ. Manag. 2000, 26, 675-684.
4. Cirne, P.; Miranda, H.S. Effects of prescribed fires on the survival and release of seeds of Kielmeyeracoriacea (Spr.) Mart. (Clusiaceae) in savannas of Central Brazil. Braz. J. Plant Physiol. 2008, 20, 197-204.
5. Medeiros, M.B.; Miranda, H.S. Post-fire resprouting and mortality in Cerrado woody plant species over a three-year period. Edinb. J. Bot. 2008, 65, 1-16.
6. Medeiros, M.B.; Miranda, H.S. Mortalidade pós-fogo em espécies lenhosas de campo sujo submetido a três queimadas prescritas anuais. Acta Bot. Bras. 2005, 19, 493-500.
7. Loiola, P.D.P.; Cianciaruso, M.V.; Silva, I.A.; Batalha, M.A. Functional diversity of herbaceous species under different fire frequencies in Brazilian savannas. Flora 2010, 205, 674-681.
8. Silva, I.A.; Batalha, M.A. Woody plant species co-occurrence in Brazilian savannas under different fire frequencies. Acta Oecol. 2010, 36, 85-91.
9. Durigan, G.; Ratter, J.A. Successional changes in cerrado and cerrado/forest ecotonal vegetation in western São Paulo State, Brazil, 1962-2000. Edinb. J. Bot. 2006, 63, 119-130.
10. Geiger, E.L.; Gotsch, S.G.; Damasco, G.; Haridasan, M.; Franco, A.C.; Hoffmann, W.A. Distinct roles of savanna and forest tree species in regeneration under fire suppression in a Brazilian savanna. J. Veg. Sci. 2011, 22, 312-321.
11. Bond, W.J.; Keeley, J.E. Fire as a global "herbivore": The ecology and evolution of flammable ecosystems. Trends Ecol. Evol. 2005, 20, 387-394.
12. Pivello, V.R. The use of fire in the Cerrado and Amazonian rainforests of Brazil: Past and present. Fire Ecol. 2011, 7, 24-39.
13. Miranda, H.S.; Bustamante, M.M.C.; Miranda, A.C. The fire factor. In The Cerrados of Brazil: Ecology and Natural History of a Neotropical Savanna; Oliveira, P.S., Marquis, R.J., Eds.; Columbia University Press: New York, NY, USA, 2002; pp. 51-68.
14. Bastarrika, A.; Chuvieco, E.; Martín, M.P. Mapping burned areas from Landsat TM/ETM+ data with a two-phase algorithm: Balancing omission and commission errors. Remote Sens. Environ. 2011, 115, 1003-1012.
15. Brewer, C.K.; Winne, J.C.; Redmond, R.L.; Opitz, D.W.; Mangrich, M.V. Classifying and mapping wildfire severity: A comparison of methods. Photogramm. Eng. Remote Sens. 2005, 71, 1311-1320.
16. Jones, J.W.; Hall, A.E.; Foster, A.M.; Smith, T.J. Wetland fire scar monitoring and analysis using archival Landsat data for the Everglades. Fire Ecol. 2013, 9, 133-150.
17. Mallinis, G.; Koutsias, N. Comparing ten classification methods for burned area mapping in a Mediterranean environment using Landsat TM satellite data. Int. J. Remote Sens. 2012, 33, 4408-4433.
18. Petropoulos, G.P.; Kontoes, C.; Keramitsoglou, I. Burnt area delineation from a uni-temporal perspective based on Landsat TM imagery classification using Support Vector Machines. Int. J. Appl. Earth Obs. 2011, 13, 70-80.
19. Picotte, J.J.; Robertson, K. Timing constraints on remote sensing of wildland fire burned area in the Southeastern US. Remote Sens. 2011, 3, 1680-1690.
20. Schroeder, W.; Prins, E.; Giglio, L.; Csiszar, I.; Schmidt, C.; Morisette, J.; Morton, D. Validation of GOES and MODIS active fire detection products using ASTER and ETM+ data. Remote Sens. Environ. 2008, 112, 2711-2726.
21. Simon, M.; Plummer, F.; Fierens, F.; Hoelzmann, J.; Arino, O. Burnt area detection at the global scale using ATSR-2: The GLOBESCAR products and their qualification. J. Geophys. Res. 2004, 109, 1-16.
22. Silva, J.M.N.; Sá, A.C.L.; Pereira, J.M.C. Comparison of burned area estimates derived from SPOT-VEGETATION and Landsat ETM+ data in Africa: Influence of spatial pattern and vegetation type. Remote Sens. Environ. 2005, 96, 188-201.
23. Schroeder, W.; Csiszar, I.; Giglio, L.; Schmidt, C.C. On the use of fire radiative power, area, and temperature estimates to characterize biomass burning via moderate to coarse spatial resolution remote sensing data in the Brazilian Amazon. J. Geophys. Res-Atmos. 2010, 115, doi:10.1029/2009JD013769.
24. Freeborn, P.H.; Cochrane, M.A.; Wooster, M.J. A decade long, multi-scale map comparison of fire regime parameters derived from three publically available satellite-based fire products: A case study in the Central African Republic. Remote Sens. 2014, 6, 4061-4089.
25. Laris, P.S. Spatiotemporal problems with detecting and mapping mosaic fire regimes with coarse-resolution satellite data in savanna environments. Remote Sens. Environ. 2005, 99, 412-424.
26. Brazil. Plano De Manejo Da Área De Proteção Ambiental APA Pouso Alto-GO, 1st ed.; Agência Ambiental de Goiás (AGMA): Goiânia, GO, Brazil, 2005.
27. Fundação Grupo Boticário. Plano de Manejo da Reserva Natural Serra do Tombador; Internal FGB Report; Fundação Grupo Boticário: Brasília, DF, Brazil, 2011.
28. Townshend, J.R.G.; Justice, C.O.; Gurney, C.; McManus, J. The impact of misregistration on change detection. IEEE Trans. Geosci. Remote Sens. 1992, 30, 1054-1060.
29. Dai, X.; Khorram, S. The effects of image misregistration on the accuracy of remotely sensed change detection. IEEE Trans. Geosci. Remote Sens. 1998, 36, 1566-1577.
30. Chuvieco, E.; Riaño, D.; Danson, F.M.; Martín, M.P. Use of a radiative transfer model to simulate the post-fire spectral response to burn severity. J. Geophys. Res-Biogeo. 2006, 111, G04S09, doi:10.1029/2005JG000143.
31. Lentile, L.Z.; Holden, Z.A.; Smith, A.M.S.; Falkowski, M.J.; Hudak, A.T.; Morgan, P.; Lewis, S.A.; Gessler, P.E.; Benson, N.C. Remote sensing techniques to assess active fire characteristics and post-fire effects. Int. J. Wildland Fire 2006, 15, 319-345.
32. Bisquert, M.; Sánchez, J.M.; Caselles, V. Modeling fire danger in Galicia and Asturias (Spain) from MODIS Images. Remote Sens. 2014, 6, 540-554.
33. Harris, S.; Veraverbeke, S.; Hook, S. Evaluating spectral indices for assessing fire severity in chaparral ecosystems (Southern California) using MODIS/ASTER (MASTER) airborne simulator data. Remote Sens. 2011, 3, 2403-2419.
34. Lozano, F.J.; Suárez-Seoane, S.; de Luis, E. Assessment of several spectral indices derived from multi-temporal Landsat data for fire occurrence probability modelling. Remote Sens. Environ. 2007, 107, 533-544.
35. De Santis, A.; Chuvieco, E. Burn severity estimation from remotely sensed data: Performance of simulation versus empirical models. Remote Sens. Environ. 2007, 108, 422-435.
36. Miller, J.D.; Thode, A.E. Quantifying burn severity in a heterogeneous landscape with a relative version of the delta Normalized Burn Ratio (dNBR). Remote Sens. Environ. 2007, 109, 66-80.
37. Smith, A.M.S.; Lentile, L.B.; Hudak, A.T.; Morgan, P. Evaluation of linear spectral unmixing and ΔNBR for predicting post-fire recovery in a North American ponderosa pine forest. Int. J. Remote Sens. 2007, 28, 5159-5166.
38. Quintano, C.; Fernández-Manso, A.; Fernández-Manso, O.; Shimabukuro, Y.E. Mapping burned areas in Mediterranean countries using spectral mixture analysis from a uni-temporal perspective. Int. J. Remote Sens. 2006, 27, 645-662.
39. Maeda, E.E.; Arcoverde, G.F.; Pellikka, P.K.; Shimabukuro, Y.E. Fire risk assessment in the Brazilian Amazon using Modis imagery and change vector analysis. Appl. Geogr. 2011, 31, 76-84.
40. Maeda, E.E.; Formaggio, A.R.; Shimabukuro, Y.E.; Arcoverde, G.F.B.; Hansen, M.C. Predicting forest fire in the Brazilian Amazon using MODIS imagery and artificial neural networks. Int. J. Appl. Earth Obs. 2009, 11, 265-272.
41. Petropoulos, G.P.; Vadrevu, K.P.; Xanthopoulos, G.; Karantounias, G.; Scholze, M. A comparison of spectral angle mapper and artificial neural network classifiers combined with Landsat TM imagery analysis for obtaining burnt area mapping. Sensors 2010, 10, 1967-1985.
42. Gómez, I.; Martín, M. P. Prototyping an artificial neural network for burned area mapping on a regional scale in Mediterranean areas using MODIS images. Int. J. Appl. Earth Obs., 2011, 13, 741-752.
43. Mitri, G.H.; Gitas, I.Z. Mapping the severity of fire using object-based classification of IKONOS imagery. Int. J. Wildland Fire 2008, 17, 431-442.
44. Polychronaki, A.; Gitas, I.Z.; Veraverbeke, S.; Debien, A. Evaluation of ALOS PALSAR imagery for burned area mapping in Greece using object-based classification. Remote Sens. 2013, 5, 5680-5701.
45. Smith, A.M.S.; Drake, N.A.; Wooster, M.J.; Hudak, A.T.; Holden, Z.A.; Gibbons, C.J. Production of Landsat ETM+ reference imagery of burned areas within Southern African savannahs: Comparison of methods and application to MODIS. Int. J. Remote Sens. 2007, 28, 2753-2775.
46. San-Miguel-Ayanz, J.; Pereira, J.M.C.; Boca, R.; Strobl, P.; Kucera, J.; Pekkarinen, A. Forest fires in the European Mediterranean region: Mapping and analysis of burned areas. In Earth Observation of Wildland Fires in Mediterranean Ecosystems; Chuvieco, E., Ed.; Springer: Berlin, Germany, 2009; pp. 189-204.
47. Sá, A.C.L.; Pereira, J.M.C.; Gardner, R.H. Analysis of the relationship between spatial pattern and spectral detectability of areas burned in southern Africa using satellite data. Int. J. Remote Sens. 2007, 28, 3583-3601.
48. Stroppiana, D.; Boschetti, M.; Zaffaroni, P.; Brivio, P.A. Analysis and interpretation of spectral indices for soft multicriteria burned-area mapping in mediterranean regions. IEEE Geosci. Remote Sens. Lett. 2009, 6, 499-503.
49. Fraser, R.H.; Li, Z.; Landry, R. SPOT VEGETATION for characterizing boreal forest fires. Int. J. Remote Sens. 2000, 21, 3525-3532.
50. Bowman, D.M.J.S.; Zhang, Y.; Walsh, A.; Williams, R.J. Experimental comparison of four remote sensing techniques to map tropical savanna fire-scars using Landsat-TM7 imagery. Int. J. Wildland Fire 2003, 12, 341-348.
51. Mahalanobis, P.C. On the Generalised Distance in Statistics. Available online: http://www.unt.edu/rss/class/Jon/MiscDocs/1936_Mahalanobis.pdf (accessed on 5 March 2014).
52. Li, Y.; Vodacek, A.; Kremens, R.L.; Ononye, A., Tang, C. A hybrid contextual approach to wildland fire detection using multispectral imagery. IEEE Trans.Geosci. Remote.Sens. 2005, 43, 2115-2126.
53. Smith, A.C.; Fahrig, L.; Francis, C.M. Landscape size affects the relative importance of habitat amount, habitat fragmentation, and matrix quality on forest birds. Ecography 2011, 34, 103-113.
54. McGarigal, L.; Marks, B.J. FRAGSTATS Manual: Spatial Pattern Analysis Program for Quantifying Landscape Structure, 1994. Available online: http://ftp.fsl.orst.edu/pub/fragstats.2.0 (accessed on 5 March 2014).
55. Herold, M.; Couclelis, H.; Clarke, K.C. The role of spatial metrics in the analysis and modeling of urban land use change. Comput. Environ. Urban 2005, 29, 369-399.
56. Seto, K.C.; Fragkias, M. Quantifying spatiotemporal patterns of urban land-use change in four cities of China with time series landscape metrics. Landsc. Ecol. 2005, 20, 871-888.
57. Weng, Y.C. Spatiotemporal changes of landscape pattern in response to urbanization. Landsc. Urban Plan. 2007, 81, 4, 341-353.
58. Kashian, D.M.; Tinker, D.B.; Turner, M.G.; Scarpace, F.L. Spatial heterogeneity of lodgepole pine sapling densities following the 1988 fires in Yellowstone National Park, Wyoming, USA. Can. J. For. Res. 2004, 34, 2263-2276.
59. Parisien, M.A.; Peters, V.S.; Wang, Y.; Little, J.M.; Bosch, E.M.; Stocks, B.J. Spatial patterns of forest fires in Canada, 1980-1999. Int. J. Wildland Fire 2006, 15, 361-374.
60. Wang, X.; Hamann, A.; Cumming, S.G. Measuring boreal forest fragmentation after fire: Which configuration metrics are best? Ecol. Indic. 2012, 13, 189-195.
61. Collins, B.M.; Kelly, M.; van Wagtendonk, J.W.; Stephens, S.L. Spatial patterns of large natural fires in Sierra Nevada wilderness areas. Landsc. Ecol. 2007, 22, 545-557.
62. Hayes, J.J.; Robeson, S.M. Relationships between fire severity and post-fire landscape pattern following a large mixed-severity fire in the Valle Vidal, New Mexico, USA. For. Ecol. Manag. 2011, 261, 1392-1400.
63. Lee, S.W.; Lee, M.B.; Lee, Y.G.; Won, M.S.; Kim, J.J.; Hong, S.K. Relationship between landscape structure and burn severity at the landscape and class levels in Samchuck, South Korea. For. Ecol. Manag. 2009, 258, 1594-1604.
64. Loepfe, L.; Martinez-Vilalta, J.; Oliveres, J.; Piñol, J.; Lloret, F. Feedbacks between fuel reduction and landscape homogenisation determine fire regimes in three Mediterranean areas. For. Ecol. Manag. 2010, 259, 2366-2374.
65. Soares-Filho, B.; Silvestrini, R.; Nepstad, D.; Brando, P.; Rodrigues, H.; Alencar, A.; Coe, M.; Locks, C.; Lima, L.; Hissa, L.; et al. Forest fragmentation, climate change and understory fire regimes on the Amazonian landscapes of the Xingu headwaters. Landsc. Ecol. 2012, 27, 585-598.
66. Díaz-Delgado, R.; Lloret, F.; Pons, X. Spatial patterns of fire occurrence in Catalonia, NE, Spain. Landsc. Ecol. 2004, 19, 731-745.
67. Lee, B.; Kim, S.Y.; Chung, J.; Park, P.S. Estimation of fire severity by use of Landsat TM images and its relevance to vegetation and topography in the 2000 Samcheok forest fire. J. For. Res. 2008, 13, 197-204.
68. Syphard, A.D.; Franklin, J.; Keeley, J.E. Simulating the effects of frequent fire on southern California coastal shrublands. Ecol. Appl. 2006, 16, 1744-1756.
69. Sano, E.E.; Rosa, R.; Brito, J.L.S.; Ferreira, L.G. Mapeamento do Uso do Solo e Cobertura Vegetal-Bioma Cerrado: Ano Base 2002. Série Biodiversidade, 1st ed.; Ministério do Meio Ambiente-Secretaria de Biodiversidade e Florestas: Brasília, Brazil, 2010.
70. Brazil Monitoramento do Desmatamento nos Biomas Brasileiros por Satélite. Monitoramento do Bioma Cerrado 2009-2010; Ministério do Meio Ambiente (MMA) and Instituto Brasileiro do Meio Ambiente e dos Recursos Naturais Renováveis (IBAMA): Brasília, Brazil, 2011.
71. França, H.; Ramos Neto, M.B.; Setzer, A. O fogo no Parque Nacional das Emas, 1st ed.; Ministério do Meio Ambiente: Brasília, DF, Brazil, 2007.
72. Pereira, A.C.; Gama, V.F. Anthropization on the Cerrado biome in the Brazilian Uruçuí-Una Ecological Station estimated from orbital images. Braz. J. Biol. 2010, 70, 969-976.
73. Dennis, R.A.; Mayer, J.; Applegate, G.; Chokkalingam, U.; Colfer, C.J.P.; Kurniawan, I.; Lachowski, H.; Maus, P.; Permana, R.P.; Ruchiat, Y.; et al. Fire, people and pixels: Linking social science and remote sensing to understand underlying causes and impacts of fires in Indonesia. Hum. Ecol. 2005, 33, 465-504.
74. Driscoll, D.A.; Lindenmayer, D.B.; Bennett, A.F.; Bode, M.; Bradstock, R.A.; Cary, G.J.; Clarke, M.F.; Dexter, N.; Fensham, R.; Friend, G.; et al. Fire management for biodiversity conservation: Key research questions and our capacity to answer them. Biol. Conserv. 2010, 143, 1928-1939.
75. Chang, Y.; He, H.S.; Hu, Y.; Bu, R.; Li, X. Historic and current fire regimes in the Great Xing'an Mountains, northeastern China: Implications for long-term forest management. For. Ecol. Manag. 2008, 254, 445-453.
76. Chuvieco, E.; Englefield, P.; Trishchenko, A.P.; Luo, Y. Generation of long time series of burn area maps of the boreal forest from NOAA-AVHRR composite data. Remote Sens. Environ. 2008, 112, 2381-2396.
77. Chuvieco, E.; Martin, M.P.; Palacios, A. Assessment of different spectral indices in the red-near-infrared spectral domain for burned land discrimination. Int. J. Remote Sens. 2002, 23, 5103-5110.
78. Stroppiana, D.; Bordogna, G.; Carrara, P.; Boschetti, M.; Boschetti, L.; Brivio, P.A. A method for extracting burned areas from Landsat TM/ETM+ images by soft aggregation of multiple spectral indices and a region growing algorithm. ISPRS J. Photogramm. Remote Sens. 2012, 69, 88-102.
79. Verbyla, D.L.; Kasischke, E.S.; Hoy, E.E. Seasonal and topographic effects on estimating fire severity from Landsat TM/ETM+ data. Int. J. Wildland Fire 2008, 17, 527-534.
80. Roy, D.P.; Boschetti, L. Southern Africa validation of the MODIS, L3JRC, and GlobCarbon burned-area products. IEEE Trans. Geosci. Remote Sens. 2009, 47, 1032-1044.
81. Roy, D.P.; Boschetti, L.; Justice, C.O. The collection 5 MODIS burned area product Global evaluation by comparison with the MODIS active fire product. Remote Sens. Environ. 2008, 112, 3690-3707.
82. Tansey, K.; Grégoire, J.M.; Defourny, P.; Leigh, R.; Peckel, J.F.; van Bogaert, E.; Bartholome, E. A new, global, multi-annual (2000-2007) burnt area product at 1 km resolution. Geophys. Res. Lett. 2008, 35, doi:10.1029/2007GL03156.
83. Hoffmann, W.A.; Adasme, R.; Haridasan, M.; de Carvalho, M.T.; Geiger, E.L.; Pereira, M.A.B.; Gotsch, S.G.; Franco, A.C. Tree topkill, not mortality, governs the dynamics of savanna-forest boundaries under frequent fire in central Brazil. Ecology 2009, 90, 1326-1337.
84. Miranda, A.C.; Miranda, H.S.; Dias, I.O.; Dias, B.F. Soil and air temperatures during prescribed Cerrado fires in central Brazil. J. Trop. Ecol. 1993, 9, 313-320.
85. Bucini, G.; Lambin, E.F. Fire impacts on vegetation in Central Africa: A remote-sensing-based statistical analysis. Appl. Geogr. 2002, 22, 27-48.
86. Fiedler, N.C.; Merlo, D.A.; Medeiros, M.B. Ocorrência de incêndios florestais no Parque Nacional da Chapada dos Veadeiros. Goiás. Ciência Florestal 2006, 16, 153-161.
87. Medeiros, M.B.; Fiedler, N.C. Incêndios florestais no Parque Nacional da Serra da Canastra: Desafios para a conservação da biodiversidade. Ciência Florestal 2004, 14, 157-168.