Evaluating the SEVIRI fire thermal anomaly detection algorithm across the Central African Republic using the MODIS active fire product

Remote Sensing

Volumn 6, Issue 3, 2014, Pages 1890-1917

  Freeborn, Patrick H ^a   Wooster, Martin J ^b,c   Roberts, Gareth ^d   Xu, Weidong ^e  

^a SOUTH DAKOTA STATE UNIVERSITY   (United States)

^b KING'S COLLEGE LONDON   (United Kingdom)

^c NATURAL ENVIRONMENT RESEARCH COUNCIL   (United Kingdom)

^d UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^e PLYMOUTH MARINE LABORATORY   (United Kingdom)

Author keywords

Geostationary active fire detection algorithm; MODIS; SEVIRI; Validation

Indexed keywords

ERRORS; FIRE DETECTORS; FIRES; GEOSTATIONARY SATELLITES; PIXELS; SATELLITE IMAGERY; SIGNAL DETECTION;

ACTIVE FIRES; CENTRAL AFRICAN REPUBLIC; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; MODIS; SEVIRI; SPATIOTEMPORAL DISTRIBUTIONS; SPINNING ENHANCED VISIBLE AND INFRARED IMAGER; VALIDATION;

RADIOMETERS;

EID: 84897012314     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs6031890     Document Type: Article

References (74)

1. Moula, M.; Brustet, J.; Fontan, J. Remote sensing-modelisation approach for diurnal estimation of burnt biomass in the Central African Republic savanna. J. Atmos. Chem. 1996, 25, 1-19.
2. Langaas, S. Temporal and spatial distribution of savanna fires in Senegal and the Gambia, West Africa, 1989-90, derived from multi-temporal AVHRR night images. Int. J. Wildland Fire 1992, 2, 21-36.
3. Trollope, W.S.W.; de Ronde, C.; Geldenhuys, C.J. Fire Behaviour. In Wildland Fire Management Handbook for Sub-Sahara Africa; Goldammer, J.G., de Ronde, C., Eds.; Global Fire Monitoring Center and Oneworldbooks: Freiburg-Cape Town, South Africa, 2004; pp. 27-55.
4. Malingreau, J.P. The Contribution of Remote Sensing to the Global Monitoring of Fires in Tropical and Subtropical Ecosystems. In Fire in the Tropical Biota, Ecosystem Processes and Global Challenges; Goldammer, J.G., Ed.; Springer-Verlag: Berlin, Germany, 1990; pp. 337-369.
5. Justice, C.O.; Korontzi, S. A Review of the Status of Satellite fire Monitoring and the Requirements for Global Environmental Change Research. In Global and Regional Vegetation Fire Monitoring from Space: Planning a Coordinated International Effort; Ahern, F.J., Goldammer, J.G., Justice, C.O., Eds.; SPB Academic Publishing: New York, NY, USA, 2001; pp. 1-18.
6. Kennedy, P. Biomass burning studies: The use of remote sensing. Ecol. Bull. 1992, 42, 133-148.
7. Justice, C.O.; Malingreau, J.-P.; Setzer, A.W. Satellite Remote Sensing of Fires: Potential and Limitations. In Fire in the Environment: The Ecological, Atmospheric, and Climatic Importance of Vegetation Fires; Crutzen, P.J., Goldammer, J.G., Eds.; John Wiley & Sons Ltd.: New York, NY, USA, 1993; pp. 77-88.
8. Eva, H.; Lambin, E.F. Remote sensing of biomass burning in tropical regions: Sampling issues and multisensor approach. Remote Sens. Environ. 1998, 64, 292-315.
9. Giglio, L. Characterization of the tropical diurnal fire cycle using VIRS and MODIS observations. Remote Sens. Environ. 2007, 108, 407-421.
10. Vermote, E.; Ellicott, E.; Dubovik, O.; Lapyonok, T.; Chin, M.; Giglio, L.; Roberts, G. An approach to estimate global biomass burning emissions of organic and black carbon from MODIS fire radiative power. J. Geophys. Res. Atmos. 2009, 114, doi:10.1029/2008JD011188.
11. Ellicott, E.; Vermote, E.; Giglio, L.; Roberts, G. Estimating biomass consumed from fire using MODIS FRE. Geophys. Res. Lett. 2009, 36, doi:10.1029/2009GL038581.
12. Hyer, E.J.; Reid, J.S.; Prins, E.M.; Hoffman, J.P.; Schmidt, C.C.; Miettinen, J.I.; Giglio, L. Patterns of fire activity over Indonesia and Malaysia from polar and geostationary satellite observations. Atmos. Res. 2013, 122, 504-519.
13. Prins, E.; Menzel, W. Geostationary satellite detection of biomass burning in South America. Int. J. Remote Sens. 1992, 13, 2783-2799.
14. Prins, E.; Feltz, J.; Menzel, W.; Ward, D. An overview of GOES-8 diurnal fire and smoke results for SCAR-B and 1995 fire season in South America. J. Geophys. Res. Atmos. 1998, 103, 31821-31835.
15. Roberts, G.; Wooster, M.; Lagoudakis, E. Annual and diurnal African biomass burning temporal dynamics. Biogeosciences 2009, 6, 849-866.
16. 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 plus data. Remote Sens. Environ. 2008, 112, 2711-2726.
17. Roberts, G.; Wooster, M.; Perry, G.; Drake, N.; Rebelo, L.; Dipotso, F. Retrieval of biomass combustion rates and totals from fire radiative power observations: Application to southern Africa using geostationary SEVIRI imagery. J. Geophys. Res. Atmos. 2005, 110, doi:10.1029/2005JD006018.
18. Schroeder, W.; Csiszar, I.; Morisette, J. Quantifying the impact of cloud obscuration on remote sensing of active fires in the Brazilian Amazon. Remote Sens. Environ. 2008, 112, 456-470.
19. Mu, M.; Randerson, J.T.; van der Werf, G.R.; Giglio, L.; Kasibhatla, P.; Morton, D.; Collatz, G.J.; DeFries, R.S.; Hyer, E.J.; Prins, E.M.; et al. Daily and 3-hourly variability in global fire emissions and consequences for atmospheric model predictions of carbon monoxide. J. Geophys. Res. Atmos. 2011, 116, doi:10.1029/2011JD016245.
20. Zhang, X.Y.; Kondragunta, S. Temporal and spatial variability in biomass burned areas across the USA derived from the GOES fire product. Remote Sens. Environ. 2008, 112, 2886-2897.
21. Zhang, X.Y.; Kondragunta, S.; Ram, J.; Schmidt, C.; Huang, H.C. Near-real-time global biomass burning emissions product from geostationary satellite constellation. J. Geophys. Res. Atmos. 2012, 117, doi:10.1029/2012JD017459.
22. Zhang, X.Y.; Kondragunta, S.; Schmidt, C.; Kogan, F. Near real time monitoring of biomass burning particulate emissions (PM2.5) across contiguous United States using multiple satellite instruments. Atmos. Environ. 2008, 42, 6959-6972.
23. Freitas, S.R.; Longo, K.M.; Chatfield, R.; Latham, D.; Dias, M.A.F.S.; Andreae, M.O.; Prins, E.; Santos, J.C.; Gielow, R.; Carvalho, J.A. Including the sub-grid scale plume rise of vegetation fires in low resolution atmospheric transport models. Atmos. Chem. Phys. 2007, 7, 3385-3398.
24. Sofiev, M.; Vankevich, R.; Ermakova, T.; Hakkarainen, J. Global mapping of maximum emission heights and resulting vertical profiles of wildfire emissions. Atmos. Chem. Phys. 2013, 13, 7039-7052.
25. Wang, J.; Christopher, S.A.; Nair, U.S.; Reid, J.S.; Prins, E.M.; Szykman, J.; Hand, J.L. Mesoscale modeling of Central American smoke transport to the United States: 1. "Top-down" assessment of emission strength and diurnal variation impacts. J. Geophys. Res. Atmos. 2006, 111, doi:10.1029/2005JD006416.
26. Reid, J.S.; Hyer, E.J.; Prins, E.M.; Westphal, D.L.; Zhang, J.L.; Wang, J.; Christopher, S.A.; Curtis, C.A.; Schmidt, C.C.; Eleuterio, D.P.; et al. Global monitoring and forecasting of biomass-burning smoke: Description of and lessons from the fire locating and modeling of burning emissions (FLAMBE) program. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2009, 2, 144-162.
27. Cahoon, D.R.; Stocks, B.J.; Levine, J.S.; Cofer, W.R.; Oneill, K.P. Seasonal distribution of African savanna fires. Nature 1992, 359, 812-815.
28. Langaas, S. Diurnal cycles in savanna fires. Nature 1993, 363, doi:10.1038/363120b0.
29. Generoso, S.; Breon, F.; Balkanski, Y.; Boucher, O.; Schulz, M. Improving the seasonal cycle and interannual variations of biomass burning aerosol sources. Atmos. Chem. Phys. 2003, 3, 1211-1222.
30. Giglio, L.; Kendall, J.D. Commentary on "Improving the seasonal cycle and interannual variations of biomass burning aerosol sources" by Generoso et al. Atmos. Chem. Phys. 2004, 4, 585-587.
31. Govaerts, Y.; Wooster, M.; Freeborn, P.; Lattanzio, A.; Roberts, G. Algorithm Theoretical Basis Document for the MSG SEVIRI Fire Radiative Power (FRP) Characterization: FRP Version 2.6; EUMETSAT, 2010. Available online: http://landsaf.meteo.pt/algorithms.jsp?seltab=12&starttab=12 (accessed on 27 February 2014).
32. Lattanzio, A.; Govaerts, Y. Product User Manual: PUM FRP Fire Radiative Power, 2010; p. 46. Available online: http://landsaf.meteo.pt/algorithms.jsp?seltab=12&starttab=12 (accessed on 27 February 2014).
33. Roberts, G.; Wooster, M. Fire detection and fire characterization over Africa using Meteosat SEVIRI. IEEE Trans. Geosci. Remote Sens. 2008, 46, 1200-1218.
34. Wooster, M.; Zhukov, B.; Oertel, D. Fire radiative energy for quantitative study of biomass burning: Derivation from the BIRD experimental satellite and comparison to MODIS fire products. Remote Sens. Environ. 2003, 86, 83-107.
35. Wooster, M.; Roberts, G.; Perry, G.; Kaufman, Y. Retrieval of biomass combustion rates and totals from fire radiative power observations: FRP derivation and calibration relationships between biomass consumption and fire radiative energy release. J. Geophys. Res.: Atmos. 2005, 110, doi:10.1029/2005JD006318.
36. Available online: http://landsaf.meteo.pt/algorithms.jsp?seltab=12&starttab=12 (accessed on 27 February 2014).
37. Giglio, L. MODIS Collection 5 Active Fire Product User's Guide: Version 2.5; Department of Geographical Sciences, University of Maryland: College Park, MD, USA, 2013. Available online: https://earthdata.nasa.gov/sites/default/files/field/document/MODIS_Fire_Users_Guide_2.5.pdf (accessed on 27 February 2014).
38. Giglio, L.; Descloitres, J.; Justice, C.; Kaufman, Y. An enhanced contextual fire detection algorithm for MODIS. Remote Sens. Environ. 2003, 87, 273-282.
39. Justice, C.; Giglio, L.; Korontzi, S.; Owens, J.; Morisette, J.; Roy, D.; Descloitres, J.; Alleaume, S.; Petitcolin, F.; Kaufman, Y. The MODIS fire products. Remote Sens. Environ. 2002, 83, 244-262.
40. Kaufman, Y.; Justice, C.; Flynn, L.; Kendall, J.; Prins, E.; Giglio, L.; Ward, D.; Menzel, W.; Setzer, A. Potential global fire monitoring from EOS-MODIS. J. Geophys. Res. Atmos. 1998, 103, 32215-32238.
41. Kaufman, Y.; Hobbs, P.; Kirchhoff, V.; Artaxo, P.; Remer, L.; Holben, B.; King, M.; Ward, D.; Prins, E.; Longo, K.; et al. Smoke, clouds, and radiation-Brazil (SCAR-B) experiment. J. Geophys. Res. Atmos. 1998, 103, 31783-31808.
42. Wolfe, R.E.; Nishihama, M.; Fleig, A.J.; Kuyper, J.A.; Roy, D.P.; Storey, J.C.; Patt, F.S. Achieving sub-pixel geolocation accuracy in support of MODIS land science. Remote Sens. Environ. 2002, 83, 31-49.
43. Available online: http://reverb.echo.nasa.gov/reverb/ (accessed on 27 February 2014).
44. Morisette, J.; Giglio, L.; Csiszar, I.; Setzer, A.; Schroeder, W.; Morton, D.; Justice, C. Validation of MODIS active fire detection products derived from two algorithms. Earth Interact. 2005, 9, 1-25.
45. Morisette, J.; Giglio, L.; Csiszar, I.; Justice, C. Validation of the MODIS active fire product over Southern Africa with ASTER data. Int. J. Remote Sens. 2005, 26, 4239-4264.
46. Csiszar, I.; Morisette, J.; Giglio, L. Validation of active fire detection from moderate-resolution satellite sensors: The MODIS example in northern Eurasia. IEEE Trans. Geosci. Remote Sens. 2006, 44, 1757-1764.
47. Calle, A.; Gonzalez-Alonso, F.; de Miguel, S. Validation of active forest fires detected by MSG-SEVIRI by means of MODIS hot spots and AWiFS images. Int. J. Remote Sens. 2008, 29, 3407-3415.
48. Amraoui, M.; DaCamara, C.; Pereira, J. Detection and monitoring of African vegetation fires using MSG-SEVIRI imagery. Remote Sens. Environ. 2010, 114, 1038-1052.
49. Prins, E.; Schmetz, J.; Flynn, L.; Hillger, D.; Feltz, J. Overview of Current and Future Diurnal Active Fire Monitoring Using a Suite of International Geostationary Satellites. In Global and Regional Wildfire Monitoring: Current Status and Future Plans; Ahern, F.J., Goldammer, J.G., Justice, C.O., Eds.; SPB Academic Publishing: The Hague, The Netherlands, 2001; pp. 145-170.
50. Rasmussen, K.; Russell-Smith, J.; Morisette, J.T. Establishing Validation Site Network for Remote Sensing Applications to Fire Research: A Joint Activity between GOFC-Fire and the LPV Subgroup; GOFC-Fire Implementation Team and the CEOS WGCV Land Product Validation Subgroup, 2001. Available online: http://lpvs.gsfc.nasa.gov/PDF/GOFC_LPV_fire_sites.pdf (accessed on 27 February 2014).
51. Giglio, L.; Randerson, J.; van der Werf, G.; Kasibhatla, P.; Collatz, G.; Morton, D.; DeFries, R. Assessing variability and long-term trends in burned area by merging multiple satellite fire products. Biogeosciences 2010, 7, 1171-1186.
52. Van der Werf, G.; Randerson, J.; Giglio, L.; Collatz, G.; Mu, M.; Kasibhatla, P.; Morton, D.; DeFries, R.; Jin, Y.; van Leeuwen, T. Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997-2009). Atmos. Chem. Phys. 2010, 10, 11707-11735.
53. Nielsen, T. Characterization of fire regimes in the Experiment for Regional Sources and Sinks of Oxidants (EXPRESSO) study Area. J. Geophys. Res.: Atmos. 1999, 104, 30713-30723.
54. Dwyer, E.; Pereira, J.; Gregoire, J.; DaCamara, C. Characterization of the spatio-temporal patterns of global fire activity using satellite imagery for the period April 1992 to March 1993. J. Biogeogr. 2000, 27, 57-69.
55. Eva, H.; Flasse, S. Contextual and multiple-threshold algorithms for regional active fire detection with AVHRR data. Remote Sens. Rev. 1996, 14, 333-351.
56. Koffi, B.; Gregoire, J.M.; Mahe, G.; Lacaux, J.P. Remote-sensing of bush fire dynamics in central-Africa from 1984 to 1988-Analysis in relation to regional vegetation and pluviometric patterns. Atmos. Res. 1995, 39, 179-200.
57. Freeborn, P.; Wooster, M.; Roberts, G. Addressing the spatiotemporal sampling design of MODIS to provide estimates of the fire radiative energy emitted from Africa. Remote Sens. Environ. 2011, 115, 475-489.
58. Freeborn, P.; Wooster, M.; Roberts, G.; Malamud, B.; Xu, W. Development of a virtual active fire product for Africa through a synthesis of geostationary and polar orbiting satellite data. Remote Sens. Environ. 2009, 113, 1700-1711.
59. Roberts, G.; Wooster, M.; Freeborn, P.; Xu, W. Integration of geostationary FRP and polar-orbiter burned area datasets for an enhanced biomass burning inventory. Remote Sens. Environ. 2011, 115, 2047-2061.
60. Calle, A.; Casanova, J.; Gonzalez-Alonso, F. Impact of point spread function of MSG-SEVIRI on active fire detection. Int. J. Remote Sens. 2009, 30, 4567-4579.
61. Dozier, J. A method for satellite identification of surface temperature fields of subpixel resolution. Remote Sens. Environ. 1981, 11, 221-229.
62. Dennison, P.; Matheson, D. Comparison of fire temperature and fractional area modeled from SWIR, MIR, and TIR multispectral and SWIR hyperspectral airborne data. Remote Sens. Environ. 2011, 115, 876-886.
63. Giglio, L.; Kendall, J. Application of the Dozier retrieval to wildfire characterization-A sensitivity analysis. Remote Sens. Environ. 2001, 77, 34-49.
64. Mayaux, P.; Bartholome, E.; Fritz, S.; Belward, A. A new land-cover map of Africa for the year 2000. J. Biogeogr. 2004, 31, 861-877.
65. Hansen, M.; DeFries, R.; Townshend, J.; Carroll, M.; Dimiceli, C.; Sohlberg, R. Global percent tree cover at a spatial resolution of 500 meters: First results of the MODIS vegetation continuous fields algorithm. Earth Interact. 2003, 7, 1-15.
66. Giglio, L.; Kendall, J. Evaluation of global fire detection algorithms using simulated AVHRR infrared data. Int. J. Remote Sens. 1999, 20, 1947-1985.
67. Kumar, S.; Roy, D.; Boschetti, L.; Kremens, R. Exploiting the power law distribution properties of satellite fire radiative power retrievals: A method to estimate fire radiative energy and biomass burned from sparse satellite observations. J. Geophys. Res. Atmos. 2011, 116, doi:10.1029/2011JD015676.
68. Mbow, C.; Nielsen, T.T.; Rasmussen, K. Savanna fires in east-central Senegal: Distribution patterns, resource management and perceptions. Hum. Ecol. 2000, 28, 561-583.
69. Wooster, M.J.; Xu, W.; Nightingale, T. Sentinel-3 SLSTR active fire detection and FRP product: Pre-launch algorithm development and performance evaluation using MODIS and ASTER datasets. Remote Sens. Environ. 2012, 120, 236-254.
70. Seielstad, C.A.; Riddering, J.P.; Brown, S.R.; Queen, L.P.; Hao, W.M. Testing the sensitivity of a MODIS-like daytime active fire detection model in Alaska using NOAA/AVHRR infrared data. Photogramm. Eng. Remote Sens. 2002, 68, 831-838.
71. Derrien, M.; le Gleau, H. MSG/SEVIRI cloud mask and type from SAFNWC. Int. J. Remote Sens. 2005, 26, 4707-4732.
72. Calle, A.; Casanova, J.; Romo, A. Fire detection and monitoring using MSG spinning enhanced visible and infrared imager (SEVIRI) data. J. Geophys. Res. Biogeosci. 2006, 111, doi:10.1029/2005JG000116.
73. Kaiser, J.W.; Heil, A.; Andreae, M.O.; Benedetti, A.; Chubarova, N.; Jones, L.; Morcrette, J.J.; Razinger, M.; Schultz, M.G.; Suttie, M.; et al. Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power. Biogeosciences 2012, 9, 527-554.
74. Schroeder, W.; Csiszar, I.; Giglio, L.; Schmidt, 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.