Skip to main content

Advertisement

Log in

Validation of the Meteosat Second Generation (MSG) fire monitoring product using ground observations over Turkey

  • Original Paper
  • Published:
Arabian Journal of Geosciences Aims and scope Submit manuscript

Abstract

Validation of the active fire monitoring (FIR) product from Spinning Enhanced Visible and Infrared Imager sensor of Meteosat Second Generation satellite is performed over Turkey. Ground truth data from the Ministry of Environment and Forestry for the years 2007, 2008, and 2009 is used by taking the active fire months of April–September into consideration. The contingency tables are obtained on a monthly basis and categorical statistics of probability of detection (POD) and false alarm rate (FAR) are derived. The results are introduced for each subclass, namely probable, possible, and combined cases. The highest POD amounts of 8.5, 1.93, and 9.4 % are obtained for the possible, probable, and combined cases, respectively, with the lowest FAR amounts of 70.9, 4.5, and 86.1 % for the same categories. FIR product validation with respect to predefined burnt area thresholds is introduced in the second part of the study in order to investigate burnt area effect in active fire detection. Increasing POD values with respect to burnt area amount is obtained with relatively higher values in probable than possible type. On the other hand, FAR variation is observed to be not correlated with the burnt area amount.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  • Amraoui M, Dacamara CC, Pereira JMC (2010) Detection and monitoring of African vegetation fires using MSG-SEVIRI imagery. Remote Sens Environ 114(5):1038–1052

    Article  Google Scholar 

  • Andreae MO, Merlet P (2001) Emission of trace gases and aerosols from biomass burning. Global Biogeochem Cy 15:955–966

    Article  Google Scholar 

  • Boschetti L, Flasse SP, Brivio PA (2004) Analysis of the conflict between omission and commission in low spatial resolution dichotomic thematic products: the Pareto boundary. Remote Sens Environ 91:280–292

    Article  Google Scholar 

  • Calle A, Casanova JL, Romo A (2006) Fire detection and monitoring using MSG Spinning Enhanced Visible and Infrared (SEVIRI) data. J Geophys Res 111:G04S006

    Google Scholar 

  • Calle A, González-Alonso F, Merino De Miguel S (2008) Validation of active forest fires detected by MSG-SEVIRI by means of MODIS hot spots and AWiFS images. Int J Remote Sens 29(12):3407–3415

    Article  Google Scholar 

  • Chuvieco E, Englefield P, Trishchenko AP, Luo Y (2008) Generation of long time series of burn area maps of the boreal forest from NOAA-AVHRR composite data. Remote Sens Environ 112:2381–2396

    Article  Google Scholar 

  • Cohen JD (2000) Preventing disaster: home ignitability in the wildland–urban interface. J Forestry 98(3):15–21

    Google Scholar 

  • EUMETSAT (2007a) Active fire monitoring with MSG-Algorithm theoretical basis document (ATBD). UM/MET/REP/07/0170. p 15

  • EUMETSAT (2007b) Cloud detection for MSG—algorithm theoretical basis document (ATBD). EUM/MET/REP/07/0132. p 26

  • Eva H, Lambin EF (1998) Burnt area mapping in Central Africa using ATSRdata. Int J Remote Sens 19:3473–3497

    Article  Google Scholar 

  • Flasse SP, Ceccato P (1996) A contextual algorithm for AVHRR fire detection. Int J Remote Sens 17:419–424

    Article  Google Scholar 

  • Fraser RH, Li Z, Cihlar J (2000) Hotspot and NDVI differencing synergy (HANDS): a new technique for burned area mapping over boreal forest. Remote Sens Environ 74:362–376

    Article  Google Scholar 

  • Freeborn PH, Wooster MJ, Roberts G, Malamud BD, Xu W (2009) Development of a virtual active fire product for Africa through a synthesis of geostationary and polar orbiting satellite data. Remote Sens Environ 113:1700–1711

    Article  Google Scholar 

  • Giglio L, Descloitres J, Justice CO, Kaufman YJ (2003) An enhanced contextual fire detection algorithm for MODIS. Remote Sens Environ 87:273–282

    Article  Google Scholar 

  • Hawbaker TJ, Radeloff VC, Syphard AD, Zhu ZL, Stewart SI (2008) Detection rates of the MODIS active fire product in the United States. Remote Sens Environ 112:2656–2664

    Article  Google Scholar 

  • Justice CO, Giglio L, Korontzi S, Owens J, Morisette JT, Roy D, Descloitres J, Alleaume S, Petitcolin F, Kaufman Y (2002) The MODIS fire products. Remote Sens Environ 83(1–2):244–262

    Article  Google Scholar 

  • LeRoux X, Polcher J, Dedieu G, Menaut JC, Monteny BA (1994) Radiation exchanges above West African moist savannas: seasonal patterns and comparison with a GCM simulation. J Geophys Res 99(D12):25857–25868

    Article  Google Scholar 

  • Malamud BD, Morein G, Turcotte DL (1998) Forest fires: an example of self organized critical behavior. Science 281:1840–1842

    Article  Google Scholar 

  • Minshall G, Brock J, Andrews D, Robinson C (2001) Water quality, substratum and biotic responses of five central Idaho (USA) streams during the first year following the Mortar Creek fire. Int J Wildlanfire 10:185–199

    Article  Google Scholar 

  • Pausas JG, Keeley JE (2009) A burning story: the role of fire in the history of life. Bioscience 59:593–601

    Article  Google Scholar 

  • Peterson JL (1987) Analysis and reduction of the errors of predicting prescribed burn emissions. Dissertation, University of Washington

  • Prins EM, Menzel WP (1992) Geostationary satellite detection of biomass burning in Southern America. Int J Remote Sens 13:2783–2799

    Article  Google Scholar 

  • Prins EM, Feltz JM, Menzel WP, Ward DE (1998) An overview of GOES-8 diurnal fire and smoke results for SCAR-B and the 1995 fire season in South America. J Geophys Res 103(D24):31821–31836

    Article  Google Scholar 

  • Reed WJ, McKelvey KS (2002) Power-law behavior and parametric models for the size-distribution of forest fires. Ecol Model 150:239–254

    Article  Google Scholar 

  • Roberts G, Wooster MJ (2008) Fire detection and fire characterization over Africa using Meteosat SEVIRI. IEEE Trans Geosci Remote Sens 46(4):1200–1218

    Article  Google Scholar 

  • Robinson JM (1991) Fire from space: global fire evaluation using infrared remote sensing. Int J Remote Sens 12:3–24

    Article  Google Scholar 

  • Rosenfeld D (1999) TRMM observed first direct evidence of smoke from forest fires inhibiting rainfall. Geophys Res Lett 26(20):3105–3108

    Article  Google Scholar 

  • Roy DP, Boschetti L, Trigg SN (2006) Remote sensing of fire severity: assessing the performance of the normalized burn ratio. IEEE Geoscience Remote Sens Lett 3:112–116

    Article  Google Scholar 

  • Sandberg DV, Ottmar RD, Cushon GH (2001) Characterizing fuels in the 21st century. Int J Wildlanfire 10(4):381–387

    Article  Google Scholar 

  • Sandberg DV, Ottmar RD, Peterson JL (2002) Wildland fire in ecosystems: effects of fire on air. USDA Forest Service General Technical Report RMRS-GTR-42, volume 5. Rocky Mountain Research Station, Fort Collins, Colorado, USA

  • Schmetz J, Pili P, Tjemkes S, Just D, Kerkmann J, Rota S, Ratier A (2002) An introduction to Meteosat Second Generation (MSG). Bull Amer Meteor Soc 83:977–992

    Article  Google Scholar 

  • Schroeder W, Prins E, Giglio L, Csiszar I, Schimdt C, Morisette J, Morton D (2008) Validation of GOES and MODIS active fire detection products using ASTER and ETM+ data. Remote Sens Environ 112:2711–2726

    Article  Google Scholar 

  • Simon M, Plummer S, Fierens F, Hoelzemann JJ, Arino O (2004) Burnt area detection at global scale using ATSR-2: the GLOBSCAR products and their qualification. J Geophys Res 109:D14S02

    Article  Google Scholar 

  • Smith AMS, Wooster MJ, Drake NA, Perry GLW, Dipotso FM (2005) Fire in African savanna: testing the impact of incomplete combustion of pyrogenic emission estimates. Ecol Appl 15:1074–1082

    Article  Google Scholar 

  • Spencer CN, Gabel KO, Hauer FR (2003) Wildfire effects on stream food webs and nutrient dynamics in Glacier National Park, USA. Forest Ecol Manag 178:141–153

    Article  Google Scholar 

  • Sönmez İ, Erdi E, Tekeli AE, Demir F, Arslan M (2011) Foogle: fire monitoring tool for EUMETSAT’s active fire product over Turkey using Google-Earth. Geomatics, Natural Hazards and Risk 2(1):1–13

    Article  Google Scholar 

  • Tekeli AE, Sönmez I, Erdi E, Demir F (2009) Validation studies of EUMETSAT’s active fire monitoring product for Turkey. Int J Wildlanfire 18:517–526

    Article  Google Scholar 

  • van Leeuwen W (2008) Monitoring the effects of forest restoration treatments on post-fire vegetation recovery with MODIS multitemporal data. Sensors 8:2017–2042

    Article  Google Scholar 

  • van Wagtendonk JW, Root RR, Key CH (2004) Comparison of AVIRIS and Landsat ETM+ detection capabilities for burn severity. Remote Sens Environ 92:397–408

    Article  Google Scholar 

  • Zhukov B, Lorenz E, Oertel D, Wooster MJ, Roberts G (2006) Space borne detection and characterization of fires during the bi-spectral infrared detection (BIRD) experimental small satellite mission (2001–2004). Remote Sens Environ 100(1):29–51

    Article  Google Scholar 

Download references

Acknowledgments

This study was granted by The Scientific and Technological Research Council of Turkey (TÜBİTAK) under the Project Number of 112Y306.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ibrahim Sönmez.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Sönmez, I., Tekeli, A.E., Erdi, E. et al. Validation of the Meteosat Second Generation (MSG) fire monitoring product using ground observations over Turkey. Arab J Geosci 7, 3389–3398 (2014). https://doi.org/10.1007/s12517-013-1039-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12517-013-1039-6

Keywords

Navigation