Use of remote sensing in wildfire management

Current International Perspectives on Wildland Fires, Mankind and the Environment

Volumn , Issue , 2015, Pages 67-99

  Leblon, Brigitte ^a   Bourgeau Chavez, Laura ^a,b   San Miguel Ayanz, Jesús ^c  

^a UNIVERSITY OF NEW BRUNSWICK   (Canada)

^b MICHIGAN TECHNOLOGICAL UNIVERSITY   (United States)

^c JOINT RESEARCH CENTRE   (Italy)

Author keywords

Fire; Fire detection; Fire scar; Fuel moisture; Optical; Polarimetrie radar; Radar; Remote sensing; Thermal infrared

Indexed keywords

EID: 84956661039     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter

References (169)

1. Abbott K, Leblon B, Staples G, Alexander ME, MacLean D (2007) Fire danger monitoring in a northern boreal forest region using RADARSAT-1 imagery. International Journal of Remote Sensing 28(5-6), 1317-1338.
2. Aguado I, Chuvieco E, Salas J (2003) Assessment of forest fire danger conditions in southern Spain from NOAA images and meteorological indices. International Journal of Remote Sensing 24(8), 1653-1668.
3. Akther MS, Hassan QK (2011) Remote sensing-based assessment of fire danger conditions over boreal forest. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 4(4), 992-999.
4. Alkhatib AA (2014) A review on forest fire detection techniques. International Journal of Distributed Sensor Networks (in press)
5. Al-Moustafa T, Armitage RP, Danson FM (2012). Mapping fuel moisture content in upland vegetation using airborne hyperspectral imagery. Remote Sensing of Environment 127, 74-83.
6. Amraoui M, Leberato MLR, Calado TJ, DaCamara CC, Pinto Coelho LP, Trigo RM, Gouvela CM (2013) Fire activity over Mediterranean Europe based on information from Meteosat-8, Forest Ecology and Management 294, 62-75.
7. Anderson MC, Hain C, Wardlow B, Pimstein A, Mecikalski JR, Kustas WP (2011) Evaluation of drought indices based on thermal remote sensing of evapotranspiration over the continental United States. Journal of Climate 24, 2025-2044.
8. Arino O, Casadio S, Serpe D (2012) Global night-time fire season timing and fire count trends using the ATSR instrument series. Remote Sensing of Environment 116, 226-238.
9. Bastarrika A, Chuvieco E, Martin MP (2010) Mapping burned areas from Landsat TM/ETM+ data with a two-phase algorithm: Balancing omission and commission errors. Remote Sensing of Environment 115, 1003-1012
10. Bastiaanssen WGM, Menenti M, Fedded RA, Holtslag AAM (1998) A remote sensing surface energy balance algorithm for land (SEBAL). 1. Formulation. Journal of Hydrology 212-213, 198-212.
11. Bisquert M, Sánchez JM, Caselles V (2014) Modeling fire danger in Galicia and Asturias (Spain) from MODIS images. Remote Sensing 6, 540-554.
12. Boschetti L, Roy D. Barbosa P, Boca R (2007) A MODIS assessment of summer 2007 extent burned in Greece. International Journal of Remote Sensing 8, 2433-2436.
13. Boschetti L, Roy D, Justice C, Giglio L (2010) Global assessment of the temporal reporting accuracy and precision of the MODIS burned area product. International Journal of Wildland Fire 19, 705-709.
14. Bourgeau-Chavez LL (2013) Improving estimates of organic layer fuel moisture in boreal ecosystems with polarimetrie sar for fire danger assessment, Ph.D. thesis, University of New Brunswick, Faculty of Forestry and Environmental Management, 254 pages.
15. Bourgeau-Chavez LL, Harrell PA, Kasischke ES, French NHF (1997) The detection and mapping of wildfires. International Journal of Remote Sensing 18, 355-373.
16. Bourgeau-Chavez LL, Kasischke ES, Rutherford MD (1999) Evaluation of ERS SAR data for prediction of fire danger in a boreal region. International Journal of Wildland Fire 9(3), 183-194.
17. Bourgeau-Chavez LL, Kasischke ES, Brunzell S, Mudd JP (2002) Mapping fire scars in global boreal forests using imaging radar data. International Journal of Remote Sensing 23, 4211-4234.
18. Bourgeau-Chavez LL, Garwood G, Riordann K, Cella B, Alden S, Kwart M, Murphy K (2007). Improving the prediction of wildfire potential in boreal Alaska with satellite imaging radar. Polar Record 43(4), 321-330.
19. Bourgeau-Chavez LL, Leblon B, Buckley J, Charbonneau F (2013a) Assessment of polarimetric SAR data for fuel moisture estimation: analysis of wet versus dry conditions. International Journal of Remote Sensing 34(16), 5709-5730.
20. Bourgeau-Chavez LL, Leblon B, Buckley J, Charbonneau F (2013b) Estimating fuel moisture using RADARS AT-2 polarimetric SAR images, Remote Sensing of Environment 132, 71-85.
21. Bowman DMJS, Balch JK, Artaxo P, Bond WJ, Carlson JM, Cochrane MA, D'Antonio CM, DeFries RS, Doyle JC, Harrison SP, Johnston FH, Keeley JE, Krawchuk MA, Kull CA, Marston JB,. Moritz MA, Prentice IC, Roos CI, Scott AC, Swetnam TW, van der Werf GR, Pyne SJ (2009) Fire in the Earth System. Science 324, 481-484.
22. Bowyer P, Danson FM (2004). Sensitivity of spectral reflectance to variation in live fuel moisture content at leaf and canopy level. Remote Sensing of Environment 92, 297-308.
23. Briess K, Jahn H, Lorenz E., Oertel D, Skrbek, W, Zhukov, B (2003) Fire recognition potential of the Bi-spectral InfraRed Detection (BIRD) satellite. International Journal of Remote Sensing 24(4), 865-872.
24. Bugaric M, Jakovcevic T, Stipanicev, D (2014) Adaptive estimation of visual smoke detection parameters based on spatial data and fire risk index. Computer Vision and Image Understanding 118, 184-196.
25. Burgan RE, Klaver RW, Klaver JM (1998) Fuel models and fire potential from satellite and surface observations. International Journal of Wildland Fire 8(3), 159-170.
26. Caccamo G, Chisholm LA, Bradstock RA, Puotinen ML, Pippen BG (2012) Monitoring live fuel moisture content of heathland, shrubland and sclerophyll forest in south eastern Australia using MODIS data. International Journal of Wildland Fire 21, 257-269.
27. Cahoon DR, Stocks BJ, Levine JS, Cofer WR, Chung CC (1992) Evaluation of a technique for satellite-derived area estimation of forest fires, Journal of Geophysical Research 97, 0148-0227.
28. Calle A, Casanova JL, Romo, A (2006) Fire detection and monitoring using MSG Spinning Enhanced Visible and Infrared Imager (SEVIRI) data. Journal of Geophysical Research - Biogeosciences 111(G4), 1-13.
29. Camia A, Bovio G, Aguado I, Stach N (1999) Meteorological fire danger indices and remote sensing. In 'Remote Sensing of Large Wildfires in the European Mediterranean Basin'. (Ed. E. Chuvieco) pp. 39-59. (Springer-Verlag, Berlin)
30. Forestry Canada Fire Danger Group (1992) Development and structure of the Canadian forest fire behaviour prediction system. Forestry Canada, Information Report ST-X-3 (Ottawa, ONT, Canada).
31. Canadian Forest Service (2014) Facts about wildland fires in Canada. Available from http://www.nrcan.gc.ca/forests/fire/13143.
32. Ceccato P, Flasse S, Tarntola S, Jacquemoud S, Grégoire JM (2001) Detecting vegetation leaf water content using reflectance in the optical domain. Remote Sensing of Environment 77(1), 22-33.
33. Chen D, Loboda T, Channan S, Hoffman-Hall A (2014) Long-term record of sampled disturbances in northern Eurasian boreal forest from pre-2000 Landsat data. Remote Sensing 6(7), 6020-6038.
34. Chowdhury EH, Hassan QK (2013) Use of remote sensing-derived variables in developing a forest fire danger forecasting system. Natural Hazards 67(2), 321-334.
35. Chowdhury EH, Hassan QK (2014) Operational perspective of remote sensing-based forest fire danger forecasting systems. ISPRS Journal of Photogrammetry and Remote Sensing (in press).
36. Chuvieco E (2009) Earth observation of wildland fires in Mediterranean ecosystems, 257 pages (Springer-Verlag, Berlin).
37. Chuvieco E, Martin MP (1994) Global fire mapping and fire danger estimation using AVHRR images. Photogrammetry Engineering and Remote Sensing 60(5), 563-570.
38. Chuvieco E, Salas FJ, Carvacho L, Rodirguez-Silva F (1999a) Integrated fire risk mapping. In 'Remote Sensing of Large Wildfires in the European Mediterranean Basin'. (Ed. E. Chuvieco) pp. 61-84. (Springer-Verlag, Berlin).
39. Chuvieco E, Deshayes M, Stach N, Cocero D, Riaño D (1999b) Short-term fire risk foliage moisture content estimation from satellite data. In 'Remote Sensing of Large Wildfires in the European Mediterranean Basin'. (Ed. E. Chuvieco) pp. 17-38. (Springer-Verlag, Berlin).
40. Chuvieco E, Riaño D, Aguado I, Cocero D (2002a) Estimation of fuel moisture content from multitemporal analysis of Landsat Thematic Mapper reflectance data: Applications in fire danger assessment. International Journal of Remote Sensing 23, 2145-2162.
41. Chuvieco E, Martin MP, Palacios A (2002b) Assessment of different spectral indices in the red-near-infrared spectral domain for burned land discrimination. International Journal of Remote Sensing 23, 5103-5110.
42. Chuvieco E, Aguado I, Cocero D, Riaño D (2003) Design of an empirical index to estimate fuel moisture content from NOAA-AVHRR analysis in forest fire danger studies. International Journal of Remote Sensing 24(8), 1621-1637.
43. Chuvieco E, Cocero D, Aguado I, Palacios-Orueta A, Prado E (2004a). Improving burning efficiency estimates through satellite assessment of fuel moisture content. Journal of Geophysical Research-Atmospheres 109(D14S07), 1-8.
44. Chuvieco E, Cocero D, Riaño D, Martín MP, Martínez-Vega J, de la Riva J, Pérez F (2004b). Combining NDVI and surface temperature for the estimation of live fuel moisture content in forest fire danger rating. Remote Sensing of Environment 92, 322-331.
45. Chuvieco E, Giglio L, Justice C (2008) Global characterization of fire activity: Toward defining fire regimes from Earth observation data. Global Change Biology 14, 14881502.
46. Chuvieco E, Aguado I, Yebra M, Nieto H, Salas J, Pilar M, Vilar L, Martínez J, Martín S, Ibarra P, de la Riva J, Baeza J, Rodríguez F, Molina JM, Herrera MA, Zamora R. (2010). Development of a framework for fire risk assessment using remote sensing and geographic information system technologies. Ecological Modelling 221(1), 46-58.
47. Cloude SR, Pottier E (1997) An entropy based classification scheme for land applications of polarimetric SAR. IEEE Transactions Geoscience and Remote Sensing 35(1), 68-78.
48. Csiszar IA, Morisette JT, Giglio L (2006) Validation of active fire detection from moderateresolution satellite sensors: The MODIS example in northern Eurasia. IEEE Transactions on Geoscience and Remote Sensing 44, 1757-1764.
49. Danson FM, Bowyer P (2004) Estimating live fuel moisture content from remotely sensed reflectance. Remote Sensing of Environment 92, 309-321.
50. Deblonde G, Cihlar J (1993) A multiyear analysis of the relationship between surface environmental variables and NDVI over the Canadian landmass, Remote Sensing of Environment 7, 151-177.
51. Dennison PE, Roberts DA, Peterson SH, Rechel J (2005) Use of Normalized Difference Water Index for monitoring live fuel moisture. International Journal of Remote Sensing 26, 1035-1042.
52. Desbois N, Vidal A (1995) La télédétection dans la prévision des incendies de forêt, Ingénieries- EAT 1, 21-29.
53. Desbois N, Vidal A (1996) Real-time monitoring of vegetation flammability using NOAA- AVHRR thermal infrared data, EARSeL Advanced in Remote Sensing 4(4), 25-32.
54. Dominguez L, Lee BS, Chuvieco E, Cihlar J (1994) Fire danger estimation using AVHRR images in the Prairie provinces of Canada. Proceedings 2nd International Conference on Forest Fire Research, 2(17), pp. 679-690 (Coimbra, Portugal).
55. Duchemin B, Guyon D, Lagouarde JP (1999) Potential and limits of NOAA-AVHRR temporal composite data for phenology and water stress monitoring of temperate forest ecosystems. International Journal of Remote Sensing 20(5), 895-917.
56. Elvidge CD, Imhoff ML, Kimberly EB, Hobson VR, Nelson I, Safran J, Dietz JB, Tuttle TB (2001) Night-time lights of the world: 1994-1995, ISPRS Journal of Photogrammetry and Remote Sensing, 56, 81-89.
57. Flannigan, MD, Amiro, BD, Logan, KA, Stocks, BJ, and Wotton BM (2005). Forest fires and climate change in the 21st century. Mitigation and Adaptation Strategies for Global Change 11 (4), 847-859.
58. Flasse SP, Ceccato P (1996) A contextual algorithm for AVHRR fire detection. International Journal of Remote Sensing 17, 419-424.
59. Food and Agriculture Organization (FAO) (2012). About the Global Fire Information Management System (GFIMS). Available from http://www.fao.org/nr/gfims/about/en/
60. Food and Agriculture Organization (FAO) (2014) Forest and other Vegetation Fires, http://www.fao.org/forestry/firemanagement/en/
61. Freeborn PH, Wooster MJ, Roberts G, Xu W (2014) Evaluating the SEVIRI fire thermal anomaly detection algorithm across the Central African Republic using the MODIS active fire product. Remote Sensing 6(3), 1890-1917.
62. Freeman A, Durden SL (1998) A three-component scattering model for polarimetrie SAR data. IEEE Transactions Geoscience and Remote Sensing 36(3), 963- 973.
63. French NH, Kasischke ES, Bourgeau-Chavez LL, Harell, PA (1996) Monitoring variations in soil moisture on fire disturbed sites in Alaska using ERS-1 SAR imagery. International Journal of Remote Sensing 17, 3037-3053.
64. García M, Chuvieco E, Nieto H, Aguado I (2008) Combining AVHRR and meteorological data for estimating live fuel moisture content. Remote Sensing of Environment 112, 3618-3627.
65. Giglio L, Descloitres, J, Justice C, Kaufman, Y (2003) An enhanced contextual fire detection algorithm for MODIS. Remote Sensing of Environment 87, 273-282.
66. Giglio L, Csiszar I, Justice C (2006) Global distribution and seasonality of active fires as observed with the Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) sensors. Journal of Geophysical Research - Biogeosciences 111(G2), 1-12.
67. Giglio L, Csiszar I, Restás Á, Morisette JT, Schroeder W, Morton D, Justice CO (2008). Active fire detection and characterization with the advanced spaceborne thermal emission and reflection radiometer (ASTER). Remote Sensing of Environment 112(6), 3055-3063.
68. Giglio L, Randerson JT, van der Werf GR, Kasibhatia PS, Collatz GJ, Morton DC, DeFries RS (2010) Assessing variability and long-term trends in burned area by merging multiple satellite fire products. Biogeosciences 7, 1171-1186.
69. Gillon D, Dauriac F, Deshayes M, Valette JC, Moro C (2004) Estimation of foliage moisture content using near infrared reflectance spectroscopy. Agricultural and Forest Meteorology 124, 51-62.
70. Gimeno M, San-Miguel-Ayanz J (2004) Evaluation of RADARSAT-1 data for identification of burnt areas in Southern Europe. Remote Sensing of Environment 92, 370-375.
71. Gimeno M., San-Miguel-Ayanz J, Schmuck G (2005) Identification of burnt areas in Mediterranean forest environments from ERS-2 SAR time series. International Journal of Remote Sensing 25, 4873-4888.
72. Gitas IZ, Mitri G, Veraverbeke S, Polychronaki A (2012). Advances in remote sensing of post-fire monitoring: a review. In 'Remote Sensing of Biomass: Principles and Applications' (Ed. T. E. Fatoyinbo), pp. 143-176 (InTech Pub., Rijeka, Croatia).
73. Goodenough DG, Chen H, Richardson A, Cloude S, Hong W, Li Y (2011). Mapping fire scars using Radarsat-2 polarimetric SAR data, Canadian Journal of Remote Sensing 37(5), 500-509.
74. Goodwin, NR, Collett, LJ (2014) Development of an automated method for mapping fire history captured in Landsat TM and ETM+ time series across Queensland, Australia. Remote Sensing of Environment 148, 206-221.
75. Gouyet JF, King C, Le Gleau H, Malon JF, Phulpin T, Valette JC (1991) Apport des données satellitaires NOAA-AVHRR dans le suivi de la végétation forestière. Proceedings 5th International Colloquium on Physical Measurements and Signatures in Remote Sensing, pp. 625-629 (Courchevel, France).
76. Goward SN, Waring RH, Dye DG, Yang J (1994) Ecological remote sensing of OTTER satellite macroscale observations. Ecological Applications 4(2), 322-343.
77. Granger RJ (1997) Comparison of surface and satellite-derived estimates of evapotranspiration using a feedback algorithm. Proceeding. 3rd International Workshop on Application of Remote Sensing in Hydrology, pp. 71-81, (Goddard Space Flight Center, Washington, DC, USA).
78. Grégoire JM, Tansey K, Silva JMN (2003) The GBA2000 initiative: Developing a global burnt area database from SPOT-VEGETATION imagery. International Journal of Remote Sensing 24, 1369-1376.
79. Hansen MC, Potapov PV, Moore R, Hancher M, Turubanova SA, Tyukavina A, Thau D, Stehman SV, Goetz SJ, Loveland TR, Kommareddy A, Egorov A, Chini L., Justice CO, Townshend JRG(2013) High-resolution global maps of 21st century forest cover change. Science 342(6160), 850-853.
80. Hao XJ, Qu JJ (2007) Retrieval of real-time live fuel moisture content using MODIS measurements. Remote Sensing of Environment 108, 130-137.
81. Hao WM, Larkin NK (2014) Wildland fire emissions, carbon, and climate: wildland fire detection and burned area in the United States. Forest Ecology and Management 317, 2025.
82. Hardy CC, Burgan RE (1999) Evaluation of NDVI for monitoring live moisture in three vegetation types of the Western U.S. Photogrammetry Engineering and Remote Sensing 65, 603-610.
83. Hyer EJ, Reid JS, Prins EM, Hoffman JP. Schmidt CC, Miettinen JI, Giglio L (2013) Patterns of fire activity over Indonesia and Malaysia from polar and geostationary satellite observations. Atmospheric Research 122, 504-519.
84. Illera P, Fernandez A, Delgado JA (1996) Temporal evolution of the NDVI as an indicator of forest fire danger. International Journal of Remote Sensing 17(6), 1093-1105.
85. Johnston F, Henderson S, Chenc Y, Randerson J, Marlier M, DeFries R, Kinney P, Bowman D, Frauer M (2012) Estimated global mortality attributable to smoke form landscape fire. Environmental Heath Perspectives 120, 695-701.
86. Jurdao S, Yebra M, Guerschman JP, Chuvieco E. (2013). Regional estimation of woodland moisture content by inverting radiative transfer models. Remote Sensing of Environment 132, 59-70.
87. Justice CO, Townshend JRG, Vermote EF, Masuoka E, Wolfe RE, Saleous M, Roy DP, Morisette JT (2002) An overview of MODIS land data processing and product status. Remote Sensing of Environment 83, 3-15.
88. Justice CO, Roman MO, Csiszar I, Vermote EF, Wolfe RE, Hook SJ, Friedl M, Wang Z, Schaaf CB, Miura T, Tschudi M, Riggs G, Hall DK, Lyapustin AL, Devadiga S, Davidson C, Masuoka EJ (2013) Land and cryosphere products from Suomi NPP VIIRS: overview and status. Journal of Geophysical Research-Atmospheres 118, 9753-9765.
89. Kasischke ES, French NHF (1993) Locating and estimating the areal extent of wildfires in Alaskan boreal forests using multiple-season AVHRR NDVI composite data. Remote Sensing of Environment 51 263-275
90. Kasischke ES, Bourgeau-Chavez LL, French NHF (1994) Observations of variations in ERS- 1 SAR image intensity associated with forest fires in Alaska. IEEE Transacions on Remote Sensing 32, 206-210.
91. Katagis T, Gitas IZ, Toukiloglou P, Veraverbeke S, Goossens R (2014) Trend analysis of medium-and coarse-resolution time series image data for burned area mapping in a Mediterranean ecosystem, International Journal of Wildland Fire (in press).
92. Kennedy, PJ, Belward, AS, Grégoire, JM (1994) An improved approach to fire monitoring in West Africa using AVHRR data. International Journal of Remote Sensing, 15(11), 22352255.
93. Kempka T, Kaiser T, Solbach K (2006) Microwaves in fire detection. Fire Safety Journal 41, 327-333.
94. Kogan FN (2001) Operational space technology for global vegetation assessment. Bulletin of the American Meteorological Society 82(9), 1949-1964.
95. Leblon B (2005). Using remote sensing for fire danger monitoring. Natural Hazards 35(3), 343-359.
96. Leblon B (2011) Research and training on the use of RADARSAT-2 polarimetric SAR images in several environmental applications. In Proceeding 8th Advanced SAR workshop, October 2011 (Canadian Space Agency, Montréal, Québec).
97. Leblon B, Chen J, Alexander ME, White S (2001) Fire danger monitoring using NOAA- AVHRR NDVI images in the case of northern boreal forests. International Journal of Remote Sensing 22(14), 2839-2846.
98. Leblon B, Kaschike ES, Alexander ME, Doyle M, Abbott M (2002) Fire danger monitoring using ERS-1 SAR images over northern boreal forests. Natural Hazards 27(3), 231-255.
99. Leblon B, Fernandez-Garcia, PA, Oldford S, MacLean D, Flannigan M (2007) Using NOAA- AVHRR cumulative indices for estimating fire danger codes in northern boreal forests. International Journal of Applied Earth Observations and Geoinformation 9(3), 335-342.
100. Leblon B., Bourgeau-Chavez LL 2013. Wildfire. In Encyclopedia of Natural Hazards (Ed. P. Bobrowsky), p. 1102 (Springer-Verlag, Berlin)
101. Libonati R, DaCamara CC, Pereira JMC, Peres JF (2011) On a new coordinate system for improved discrimination of vegetation and burned areas using MIR/NIR information. Remote Sensing of Environment 115, 1464-1477.
102. Lopez, S., Gonzalez, F., Llop, R., & Cuevas, J.M. (1991). An evaluation of the utility of NOAA-AVHRR images for monitoring forest fire risk in Spain, International Journal of Remote Sensing 12(9), 1841-1851.
103. Maki M, Ishiahra M, Tamura M (2004) Estimation of leaf water status to monitor the risk of forest fires by using remotely sensed data. Remote Sensing of Environment 90, 441-450.
104. Matthews S (2013) Dead fuel moisture research: 1991-2012. International Journal of Wildland Fire 23(1), 78-92.
105. Matson M, Dozier J (1981) Identification of sub resolution high temperature sources using a thermal IR sensor. Photogramm etric Engineering and Remote Sensing 47, 1311-1318.
106. Menges CH, Bartolo RE, Bell D, Hill GJE (2004) The effect of savanna fires on SAR backscatter in northern Australia. International Journal of Remote Sensing 25(22), 48574871.
107. Michalek JL, French NHF, Kasischke ES, Johnson RD, Colwell JE (2000) Using Landsat TM data to estimate carbon release from burned biomass in an Alaskan spruce forest complex. International Journal of Remote Sensing 2, 323-338.
108. Mitri GH, Gitas IZ (2004) A semi-automated object-oriented model for burned area mapping in the Mediterranean region using Landsat TM imagery. International Journal of Wildland Fire 13, 367-376.
109. Mollicone D, Eva HD, Achard F (2006) Human role in Russian wild fires. Nature 440, 436437.
110. Morisette J, Giglio L, Csiszar I, Justice C (2005) Validation of the MODIS active fire product over Southern Africa with ASTER data. International Journal of Remote Sensing 26, 4239-4264.
111. Mouillot F, Schultz MH, Yue C, Cadule P, Tansey K, Ciáis, P. Chuvieco E (2014) Ten years of global burned area products from spaceborne remote sensing - A review: Analysis of needs and recommendations for future developments. International Journal of Applied Earth Observation and Geoinformation 26, 64-79.
112. Nemani RR, Running SW (1989) Estimation of regional surface resistance to evapotranspiration from NDVI and thermal-IR AVHRR data. Journal of Applied Meteorology 28(4), 276-284.
113. Newnham GJ, Verbesselt J, Grant IF, Anderson SAJ. (2011) Relative greenness index for assessing curing of grassland fuel. Remote Sensing of Environment 115, 1456-1463.
114. Nieto H, Aguado I, Chuvieco E, Sandholt I (2010) Dead fuel moisture estimation with MSG- SEVIRI data. Retrieval of meteorological, data for the calculation of equilibrium moisture content. Agricultural and Forest Meteorology 150, 861-870
115. Oldford S, Leblon B, Gallant L, Alexander M. (2003). Mapping pre-fire conditions in the Northwest Territories, Canada, using NOAA-AVHRR images. Geocarto International 18(4), 21-32.
116. Oldford S, Leblon B, MacLean D, Flannigan M. (2006). Predicting slow drying fuel moisture codes using N OAA-AVHRR images. International Journal of Remote Sensing 27(18), 3881-3902.
117. Olioso A, Chauki H, Courault D, Wigneron JP (1999). Estimation of evapotranspiration and photosynthesis by assimilation of remote sensing data into SVAT models. Remote Sensing of Environment 68, 341-356.
118. Oliveira S, Pereira JMC, Carreiras J (2012) Fire frequency analysis in Portugal (1975-2005), using Landsat-based burnt area maps. International Journal of Wildland Fire 21, 48-60.
119. Paltridge GW, Barber J (1988) Monitoring grassland dryness and fire potential in Australia with N OAA-AVHRR data. Remote Sensing of Environment 25(3), 381-394.
120. Pereira JMC (1999) A comparative evaluation of NOAA/AVHRR vegetation indices for burned surface detection and mapping. IEEE Transactions on Geoscience and Remote Sensing 37, 217-226.
121. Pereira JMC, Setzer AW (1993) Spectral characteristics of fire scars in Landsat-5 TM images of Amazonia. International Journal of Remote Sensing 14, 2061-2078.
122. Peterson S, Roberts DA, Dennison PE (2008) Mapping live fuel moisture with MODIS data: A multiple regression approach. Remote Sensing of Environment 112, 4272-4284.
123. Pierce LL, Running SW, Riggs GA (1990). Remote detection of canopy water stress in coniferous forests using the NS001 Thematic Mapper Simulator and the Thermal Infrared Multispectral Scanner. Photogrammetry Engineering and Remote Sensing, 56(5), 579586.
124. Pinol J, Filella I, Ogaya R, Penuelas J. (1998). Ground-based spectroradiometric estimation of live fine fuel moisture of Mediterranean plants. Agricultural and Forest Meteorology 90(3), 173-186.
125. Prosper-Laget V, Douguedroit A, Guinot JP (1994) A satellite index of forest fire occurence risk in summer in the Mediterranean area. In Proceedings 2nd International Conference on Forest Fire Research, 2, pp. 637-646 (Coimbra, Portugal).
126. Prosper-Laget V, Wigneron JP, Guinot JP, Seguin B (1995) Utilisation du satellite NOAA pour la détection des risques d'incendies de forêts. La Météorologie 8(10), 28-38.
127. Pyne SJ (1996) Intrduction to Wildland Fire (J. Wiley and Sons, New York)
128. Qi Y, Dennison PE, Spencer J, Riaño D (2012) Monitoring live fuel moisture using soil moisture and remote sensing proxies. Journal of the Association for Fire Ecology 8, 7187.
129. Riaño D, Chuvieco E, Salas J, Palacios-Orueta A, Bastarrika A (2002) Generation of fuel type maps from Landsat TM images and ancillary data in Mediterranean ecosystems. Canadian Journal of Forest Research 32(8), 1301-1315
130. Riaño D, Vaughan P, Chuvieco E, Zarco-Tejada P, Ustin SL (2005). Estimation of fuel moisture content by inversion of radiative transfer models to simulate equivalent water thickness and dry matter content: Analysis at leaf and canopy level. IEEE Transactions on Geoscience and Remote Sensing 43, 819-826.
131. Roberts DA, Peterson S, Dennison PE, Sweeney S, Rechel J (2006) Evaluation of Airbone Visible/Infrared Imaging Spectrometer (AVIRIS) and Moderate Resolution Imaging Spectrometer (MODIS) measures of live fuel moisture and fuel condition in a shrubland ecosystem in southern California. Journal of Geophysical Research-Biogeosciences, 111 (GO4S02), 1-16.
132. Roberts GJ, Wooster MJ (2008) Fire detection and fire characterization over Africa using Meteosat SEVIRI. IEEE Transactions on Geoscience and Remote Sensing 46(4), 12001218.
133. Rosas-Romero R (2014) Remote detection of forest fires from video signals with classifiers based on K-SVD learned dictionaries. Engineering Applications of Artificial Intelligence 33, 1-11.
134. Roy D, Boschetti L, Justice C, Ju J (2008) The collection 5 MODIS burned area product- Global evaluation by comparison with the MODIS active fire product. Remote Sensensing of Environment 112, 3690-3707.
135. Saatchi SS, Halligan K, Despain DG, Crabtree RL (2007) Estimation of forest fuel load from radar remote sensing. IEEE Transactions on Geoscience and Remote Sensing 45, 17261739.
136. San-Miguel-Ayanz J, Schulte E, Schmuck G, Camia A, Strobl P, Libertà G, Giovando C, Boca R, Sedano F, Kempeneers P, McInerney D, Withmore C, Santos de Oliveira S, Rodrigues M, Durrant T, Corti P, Oehler F, Vilar L, Amatulli G (2012) Comprehensive monitoring of wildfires in Europe: the European Forest Fire Information System (EFFIS). In 'Approaches to Managing Disaster and Assessing Hazards, Emergencies and Disaster Impacts' (Ed. J. Tiefenbacher), pp. 87-105 (InTech Pub., Rijeka, Croatia).
137. San-Miguel-Ayanz J, Moreno JM, Camia A (2013a) Analysis of large fires in European Mediterranean landscapes: Lessons learned and perspectives. Forest Ecology and Management 294, 11-22
138. San-Miguel-Ayanz J, Schulte, E, Schmuck G. Camia, A (2013b) The European Forest Fire Information System in the context of environmental policies of the European Union. Forest Policy and Economics 29, 19-25.
139. Schroeder W, Prins E, Giglio L, Csiszar I, Schmidt C, Morisette J, Morton D (2008) Validation of GOES and MODIS active fire detection products using ASTER and ETM plus data. Remote Sensing of Environment 112, 2711-2726.
140. Scott AC, Bowman DMJS, Bond WJ, Pyne SJ, Alexander ME (2014) Fire on Earth: an Introduction, 434 pages (Wiley-Blackwell, Oxford, UK).
141. Sedano F, Kempeneers P, Strobl P, McInerney D, San-Miguel-Ayanz J (2012) Increasing spatial detail of burned scar maps using IRS-AWiFS data for Mediterranean Europe. Remote Sensing 4, 726-744.
142. Sedano F, Kempeneers P, San-Miguel-Ayanz J, Strobl P, Vogt P (2013) Towards a panEuropean burnt scar mapping methodology based on single date medium resolution optical remote sensing data. International Journal of Applied Earth Observation and Geoinformation 20, 52-59.
143. Siegert F, Ruecker G (2000) Use of multitemporal ERS-2 SAR images for identification of burnt scars in south-east Asian tropical rainforest. International Journal of Remote Sensing 21, 831-837.
144. Simon M, Plummer S, Flerens F, Hoelzemann JJ, Arino O (2004) Burnt area detection at global scale using ATSR-2: The GLOBSCAR products and their qualification. Journal of Geophysical Research 109(D14S02), 1-16.
145. Stow D, Niphadkar M, Kaiser J (2005) MODIS-derived visible atmospherically resistant index for monitoring chaparral moisture content. International Journal of Remote Sensing 26, 3867-3873.
146. Stow D, Madhura N, Kaiser J (2006) Time series of chaparral live fuel moisture maps derived from MODIS satellite data. International Journal of Wildland Fire 15, 347-360.
147. Strickland G, Leblon B, Gallant L, Alexander ME (2001) Monitoring fire danger of northern boreal forests from optical and thermal infrared NOAA-AVHRR images. In Proceedings of the 23th Canadian Remote Sensing Symposium, pp. 667-676, (Ste-Foy, Canada).
148. Tansey K, Grégoire JM, Defourny P, Leigh R, Pekel JP, van Bogaert E, Bartholomé E (2008) A new, global, multi/annual (2000-2007) burnt area product at 1 km resolution. Geophysical Research Letters 35(L01401), 1-6.
149. Teillet PM, Dudelzak AE, Pultz TJ, McNairn H, Chichagov A (2001) A framework for in-situ sensor measurement assimilation in remote sensing applications. In Proceedings of the 23th Canadian Remote Sensing Symposium, pp. 111-118 (Ste-Foy, Canada).
150. Touzi R, Goze S, LeToan T, Lopes A, Mougin E (1992) Polarimetric discriminators forSAR images. IEEE Transactions on Geoscience and Remote Sensing 30(5), 973-980
151. United Nations (1992) United Nations Framework Convention on Climate Change, 33 pages, http://unfccc.int/key_documents/the_convention/items/2853.php.
152. United Nations (1998) Kyoto Protocol to The United Nations Framework Convention on Climate Change, 21 pages, http://unfccc.int/kyoto_protocol/items/2830.php.
153. US Forest Service 2012. The Wildland Fire Assessment System. Available from http: //www .wfas .net/
154. Ustin S, Roberts DA, Pinzon J, Jacquemoud S, Gardner M, Scheer G, Castaneda CM, Palacios-Orueta A (1998) Estimating canopy water content of chaparral shrubs using optical methods. Remote Sensing of Environment 65(3), 280-291.
155. Van der Werf GR, Randerson JR, Giblio L, Collatz, GJ, Mu M, Kasibhatia PS, Morton DC, DeFries RS, Jin Y, van Leeuwen TT (2010) Global fire emissions and the contribution of deforestation, savanna, forest, agricultura, and peat fires (1997-2009). Atmospheric Chemistry and Physics 10, 11707-11735.
156. Van Zyl JJ, Arii M, Kim Y (2011) Model-based decomposition of polarimetric sar covariance matrices constrained for nonnegative eigenvalues. IEEE Transactions Geoscience and Remote Sensing 49(9), 3452-3459.
157. Verbesselt J, Somers B, Lhermitte S, Jonckheere I, van Aardt J, Coppin P (2007) Monitoring herbaceous fuel moisture content with SPOT VEGETATION time-series for fire risk prediction in savanna ecosystems. Remote Sensing of Environment 108, 357-368.
158. Vidal A, Devaux-Ros C (1995) Evaluating forest fire hazard with a Landsat TM derived water stress index. Agricultural and Forest Meteorology 77(3-4), 207-224.
159. Vidal A, Pinglo F, Durand H, Devaux-Ros C, Maillet A (1994) Evaluation of a temporal fire risk index in Mediterranean forests from NOAA thermal IR. Remote Sensing of Environment 49(3), 296-303.
160. Wang L, Hunt ER Jr, Qu JJ, Hao X, Daughtry CST (2013) Remote sensing of fuel moisture content from ratios of narrow-band vegetation water and dry-matter indices. Remote Sensing of Environment 129, 103-110.
161. Weise DR, Wright CS (2014) Wildland fire emissions, carbon and climate: characterizing wildland fuels. Forest Ecology and Management 317, 26-40.
162. Wooster MJ, Xu W, Nightingale T (2012) Sentinel-3 SLSTR active fire detection and FRP product: Pre-launch algorithm development and performance evaluation using MODIS and ASTER datasets. Remote Sensing of Environment 120, 236-254.
163. Wu Z, He HS, Yan J, Liu Z, Liang Y (2014) Relative effects of climatic and local factors on fire occurrence in boreal forest landscapes of northeastern China. Science of the Total Environment 493, 472-480.
164. Yebra M, Chuvieco E (2009a) Linking ecological information and radiative transfer models to estimate fuel moisture content in the Mediterranean region of Spain: Solving the ill- posed inverse problem. Remote Sensing of Environment 113, 2403-2411.
165. Yebra M, Chuvieco E (2009b) Generation of a species-specific look-up table for fuel moisture content assessment. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2, 21-26.
166. Yebra M, Chuvieco E, Riaño D (2008) Estimation of live fuel moisture content from MODIS images for fire risk assessment. Agricultural and Forest Meteorology 148, 523-536.
167. Yebra M, Dennison PE, Chuvieco E, Riaño D, Zylstra P Jr, Danson FM, Qi Y, Jurdao S (2013) A global review of remote sensing of live fuel moisture content for fire danger assessment: Moving towards operational products. Remote Sensing of Environment 136, 455-468.
168. Zhang X, Kondragunta S, Roy DP (2014) Interannual variation in biomass burning and fire seasonality derived from geostationary satellite data across the contiguous United States from 1995 to 2011. Journal of Geophysical Research-Biogeosciences 119(6), 1147-1162.
169. Zhukov B, Lorenz E, Oertel D, Wooster M, Roberts G (2006) Spaceborne detection and characterization of fires during the bi-spectral infrared detection (BIRD) experimental small satellite mission (2001-2004). Remote Sensing of Environment 100(1), 29-51.