Burned area mapping in Mediterranean environment using medium-resolution multi-spectral data and a neuro-fuzzy classifier

References

• Alonso-Benito, A., et al., 2008. Analysis of different methods for burnt area estimation using remote sensing and ground truth data. In: Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS), 7–11 July 2008, Boston, MA. Washington, DC: IEEE, III828–III831, Vol. 3, 828–831
   Google Scholar
• Amici , G . 2004 . A comparison of fuzzy and neuro-fuzzy data fusion for flooded area mapping using SAR images . International Journal of Remote Sensing , 25 ( 20 ) : 4425 – 4430 .
   Web of Science ®Google Scholar
• Baraldi, A., et al., 1998. Detailed comparison of neuro-fuzzy estimation of sub-pixel land-cover composition from remotely sensed data. In: Proceedings of SPIE's Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation, 27–28 July 1998, San Diego California: SPIE, 3455, 43–53
   Google Scholar
• Benediktsson , JA . 1999 . Classification of multisource and hyperspectral data based on decision fusion . IEEE Transactions on Geoscience and Remote Sensing , 37 ( 3 ) : 1367 – 1377 .
   Web of Science ®Google Scholar
• Benediktsson , JA and Benediktsson , H . 1999 . Neuro-fuzzy and soft computing in classification of remote sensing data . Proceedings of SPIE – The International Society for Optical Engineering , 3871 : 176 – 187 .
   Google Scholar
• Camia, A., et al., 2008. Forest fires in Europe 2007. Rome, Italy: European Commission, Joint Research Centre, Institute for Environment and Sustainability, Report No. 8, EUR 23492 EN, p. 77 (Luxemburg: Office for Official Publications of the European Communities)
   Google Scholar
• Cao, X., et al., 2009. An automatic method for burn scar mapping using support vector machines. International Journal of Remote Sensing, 30 (3), 577–594
   Google Scholar
• Chavez , P.S. Jr . 1996 . Image-based atmospheric corrections – Revisited and improved . Photogrammetric Engineering and Remote Sensing , 62 ( 9 ) : 1025 – 1036 .
   Web of Science ®Google Scholar
• Chuvieco , E and Congalton , RG . 1988 . Mapping and inventory of forest fires from digital processing of TM data . Geocarto International , 3 ( 4 ) : 41 – 53 .
   Google Scholar
• Chuvieco , E , Martín , MP and Palacios , A . 2002 . Assessment of different spectral indices in the red-near-infrared spectral domain for burned land discrimination . International Journal of Remote Sensing , 23 ( 23 ) : 5103 – 5110 .
   Web of Science ®Google Scholar
• Congalton , RG and Green , K . 2009 . Assessing the accuracy of remotely sensed data: principles and practices , Boca Raton, FL : CRC Press/Taylor & Francis .
   Google Scholar
• Flannigan, M.D., et al., 2009. Implications of changing climate for global wildland fire. International Journal of Wildland Fire, 18 (5), 483–507
   Google Scholar
• Foody , G . 2008 . Harshness in image classification accuracy assessment . International Journal of Remote Sensing , 29 ( 11 ) : 3137 – 3158 .
   Web of Science ®Google Scholar
• Foody , GM . 2002 . Hard and soft classifications by a neural network with a non-exhaustively defined set of classes . International Journal of Remote Sensing , 23 ( 18 ) : 3853 – 3864 .
   Web of Science ®Google Scholar
• Foody , GM . 2004 . Thematic map comparison: evaluating the statistical significance of differences in classification accuracy . Photogrammetric Engineering and Remote Sensing , 70 ( 5 ) : 627 – 633 .
   Web of Science ®Google Scholar
• Foody , GM and Mathur , A . 2004 . A relative evaluation of multiclass image classification by support vector machines . IEEE Transactions on Geoscience and Remote Sensing , 42 ( 6 ) : 1335 – 1343 .
   Web of Science ®Google Scholar
• Freund, Y. and Schapire, R., 1996. Experiments with a new boosting algorithm. In: Proceedings of the thirteenth international conference on machine learning, 3–6 July 1996, Bari, Italy. 148–156
   Google Scholar
• Gamba , P and Dell'Acqua , F . 2003 . Increased accuracy multiband urban classification using a neuro-fuzzy classifier . International Journal of Remote Sensing , 24 ( 4 ) : 827 – 834 .
   Web of Science ®Google Scholar
• Hagan , MT and Menhaj , MB . 1994 . Training feedforward networks with the Marquardt algorithm . IEEE Transactions on Neural Networks , 5 ( 6 ) : 989 – 993 .
   PubMed Web of Science ®Google Scholar
• Ivakhnenko , AG . 1968 . The group method of data handling: a rival of method of stochastic approximation . Soviet Automatic Control , 13 ( 3 ) : 43 – 55 .
   Google Scholar
• Jensen , JR . 2005 . Introductory digital image processing a remote sensing perspective , Upper Saddle River, NJ : Prentice Hall .
   Google Scholar
• Kasischke, E.S., et al., 2005. Influences of boreal fire emissions on Northern Hemisphere atmospheric carbon and carbon monoxide. Global Biogeochemical Cycles, 19 (1), 1–16
   Google Scholar
• Key, C.H. and Benson, N.C., 2006. Landscape assessment: ground measure of severity, the composite burn index; and remote sensing of severity, the normalized burn ratio. In: D.C. Lutes, R.E. Keane, J.F. Caratti, C.H. Key, N.C. Benson, S. Sutherland, and L.J. Gangi, eds. FIREMON: Fire Effects Monitoring and Inventory System. Ogden, UT: USDA Forest Service, Rocky Mountains Research Station, General Technical Report RMRS-GTR-164-CD: LA 1-51
   Google Scholar
• Koutsias , N and Karteris , M . 1998 . Logistic regression modelling of multitemporal thematic mapper data for burned area mapping . International Journal of Remote Sensing , 19 ( 18 ) : 3499 – 3515 .
   Web of Science ®Google Scholar
• Koutsias , N , Mallinis , G and Karteris , M . 2009 . A forward/backward principal component analysis of Landsat-7 ETM+ data to enhance the spectral signal of burnt surfaces . ISPRS Journal of Photogrammetry and Remote Sensing , 64 ( 1 ) : 37 – 46 .
   Web of Science ®Google Scholar
• Kuncheva , LI , Bezdek , JC and Duin , RPW . 2001 . Decision templates for multiple classifier fusion: an experimental comparison . Pattern Recognition , 34 ( 2 ) : 299 – 314 .
   Web of Science ®Google Scholar
• Lee , HM . 2001 . An efficient fuzzy classifier with feature selection based on fuzzy entropy . IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics , 31 ( 3 ) : 426 – 432 .
   PubMed Web of Science ®Google Scholar
• Lentile , LB . 2006 . Remote sensing techniques to assess active fire characteristics and post-fire effects . International Journal of Wildland Fire , 15 ( 3 ) : 319 – 345 .
   Web of Science ®Google Scholar
• Lu , D and Weng , Q . 2007 . A survey of image classification methods and techniques for improving classification performance . International Journal of Remote Sensing , 28 ( 5 ) : 823 – 870 .
   Web of Science ®Google Scholar
• Mallinis , G . 2009 . Assessment of post-fire soil erosion risk in fire-affected watersheds using remote sensing and GIS . GIScience and Remote Sensing , 46 ( 4 ) : 388 – 410 .
   Web of Science ®Google Scholar
• Meher , SK , Shankar , BU and Ghosh , A . 2007 . Wavelet-feature-based classifiers for multispectral remote-sensing images . IEEE Transactions on Geoscience and Remote Sensing , 45 ( 6 ) : 1881 – 1886 .
   Web of Science ®Google Scholar
• Mitrakis , NE , Theocharis , JB and Petridis , V . 2008a . A multilayered neuro-fuzzy classifier with self-organizing properties . Fuzzy Sets and Systems , 159 ( 23 ) : 3132 – 3159 .
   Web of Science ®Google Scholar
• Mitrakis , NE . 2008b . Decision fusion of GA self-organizing neuro-fuzzy multilayered classifiers for land cover classification using textural and spectral features . IEEE Transactions on Geoscience and Remote Sensing , 46 ( 7 ) : 2137 – 2152 .
   Web of Science ®Google Scholar
• Mitrakis , NE . 2008c . A novel self-organizing neuro-fuzzy multilayered classifier for land cover classification of a VHR image . International Journal of Remote Sensing , 29 ( 14 ) : 4061 – 4087 .
   Web of Science ®Google Scholar
• Pal , M and Mather , PM . 2003 . An assessment of the effectiveness of decision tree methods for land cover classification . Remote Sensing of Environment , 86 ( 4 ) : 554 – 565 .
   Web of Science ®Google Scholar
• Pereira , JMC . 1999 . A comparative evaluation of NOAA/AVHRR vegetation indexes for burned surface detection and mapping . IEEE Transactions on Geoscience and Remote Sensing , 37 ( 1 ) : 217 – 226 .
   Web of Science ®Google Scholar
• Pereira , JMC . 1997 . “ Remote sensing of burned areas: a review ” . In A review of remote sensing methods for the study of large wildland fires , Edited by: Chuvieco , E. 127 – 183 . Universidad de Alcala, Spain : Alcala de Henares .
   Google Scholar
• Pereira , MC and Setzer , AW . 1993 . Spectral characteristics of fire scars in Landsat-5 TM images of Amazonia . International Journal of Remote Sensing , 14 ( 11 ) : 2061 – 2078 .
   Web of Science ®Google Scholar
• Petropoulos , GP . 2010 . Combining ASTER multispectral imagery analysis and support vector machines for rapid and cost-effective post-fire assessment: a case study from the Greek wildland fires of 2007 . Natural Hazards and Earth System Science , 10 ( 2 ) : 305 – 317 .
   Web of Science ®Google Scholar
• Petropoulos , GP , Kontoes , C and Keramitsoglou , I . 2011 . Burnt area delineation from a uni-temporal perspective based on Landsat TM imagery classification using support vector machines . International Journal of Applied Earth Observation and Geoinformation , 13 ( 1 ) : 70 – 80 .
   Web of Science ®Google Scholar
• Pu , R and Gong , P . 2004 . Determination of burnt scars using logistic regression and neural network techniques from a single post-fire Landsat 7 ETM+ image . Photogrammetric Engineering and Remote Sensing , 70 ( 7 ) : 841 – 850 .
   Web of Science ®Google Scholar
• Richards, J.A. and Milne, A.K., 1983. Mapping fire burns and vegetation regeneration using principal components analysis. In: Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS'83), 31 August–2 September 1983, San Francisco, CA. 51–56
   Google Scholar
• Roy , DP and Boschetti , L . 2009 . Southern Africa validation of the MODIS, L3JRC, and GlobCarbon burned-area products . IEEE Transactions on Geoscience and Remote Sensing , 47 ( 4 ) : 1032 – 1044 .
   Web of Science ®Google Scholar
• San-Miguel-Ayanz , J . 2009 . “ Forest fires in the European Mediterranean region: mapping and analysis of burned areas ” . In Earth observation of wildland fires in Mediterranean ecosystems , Edited by: Emilio , C. 189 – 204 . Heidelberg, Berlin : Springer .
   Google Scholar
• Smith , AMS . 2007 . Production of Landsat ETM+ reference imagery of burned areas within Southern African savannahs: comparison of methods and application to MODIS . International Journal of Remote Sensing , 28 ( 12 ) : 2753 – 2775 .
   Web of Science ®Google Scholar
• Stocks , BJ . 2001 . “ Boreal forest fire regimes and climate change ” . In Remote sensing and climate modelling: synergies and limitations , Edited by: Beniston , M. and Verstraete , M.M. 233 – 246 . Dodrecht, Boston, MA : Kluwer Academic .
   Google Scholar
• Stroppiana , D . 2009 . Analysis and interpretation of spectral indices for soft multicriteria burned-area mapping in mediterranean regions . IEEE Geoscience and Remote Sensing Letters , 6 ( 3 ) : 499 – 503 .
   Web of Science ®Google Scholar
• Takagi , T and Sugeno , M . 1985 . Fuzzy identification of systems and its applications to modeling and control . IEEE Transactions on Systems, Man and Cybernetics , 15 ( 1 ) : 116 – 132 .
   Web of Science ®Google Scholar
• Tucker , CJ . 1979 . Red and photographic infrared linear combinations for monitoring vegetation . Remote Sensing of Environment , 8 ( 2 ) : 127 – 150 .
   Web of Science ®Google Scholar
• Vapnik , VN . 2000 . The nature of statistical learning theory , New York, NY : Springer .
   Google Scholar
• Waske , B and Benediktsson , JA . 2007 . Fusion of support vector machines for classification of multisensor data . IEEE Transactions on Geoscience and Remote Sensing , 45 ( 12 ) : 3858 – 3866 .
   Web of Science ®Google Scholar
• Wilkinson , GG . 2005 . Results and implications of a study of fifteen years of satellite image classification experiments . IEEE Transactions on Geoscience and Remote Sensing , 43 ( 3 ) : 433 – 440 .
   Web of Science ®Google Scholar
• Xanthopoulos, G., 2008. Greek lessons. Fire Risk Management, August, pp. 8–12
   Google Scholar
• Zammit , O , Descombes , X and Zerubia , J . 2006 . Burnt area mapping using support vector machines . Forest Ecology and Management , 234 ( Suppl. 1 ) : S240 – S240 .
   Google Scholar