International Journal of Wildland Fire 13(3) 367-376 http://dx.doi.org/10.1071/WF03079
Submitted: 30 December 2003 Accepted: 21 May 2004 Published: 16 November 2004
Pixel-based classification methods that make use of the spectral information derived from satellite images have been repeatedly reported to create confusion between burned areas and non-vegetation categories, especially water bodies and shaded areas. As a result of the aforementioned, these methods cannot be used on an operational basis for mapping burned areas using satellite images. On the other hand, object-based image classification allows the integration of a broad spectrum of different object features, such as spectral values, shape and texture. Sophisticated classification, incorporating contextual and semantic information, can be performed by using not only image object attributes, but also the relationship between networked image objects. In this study, the synergy of all these features allowed us to address image analysis tasks that, up until now, have not been possible. The aim of this work was to develop an object-based classification model for burned area mapping in the Mediterranean using Landsat-TM imagery. The object-oriented model developed to map a burned area on the Greek island of Thasos was then used to map other burned areas in the Mediterranean region after the Landsat-TM images had been radiometrically, geometrically and topographically corrected. The results of the research showed that the developed object-oriented model was transferable and that it could be effectively used as an operative tool for identifying and mapping the three different burned areas (~98% overall accuracy).
Baatz MSchäpe A1999Object-oriented and multi-scale image analysis in semantic networks.‘Proceedings of the 2nd international symposium on operationalization of remote sensing, Enschede, ITC, The Netherlands, 16–20 August’.
Baatz MSchäpe A2000Multiresolution segmentation—an optimization approach for high quality multi-scale image segmentation.‘Angewandte Geographische Informationsverarbeitung XII. Beiträge zum AGIT-Symposium Salzburg 2000’.Strobl JBlaschke TGriesebner G1223Herbert Wichmann-VerlagKarlsruhe
Bourgeau-Chavez LHarrell PKasischke ESFrench NHF1997The detection and mapping of Alaskan wildfires using a spaceborne imaging radar system.International Journal of Remote Sensing18355373doi:10.1080/014311697219114
Caetano MSMertes AKPereira MC1994Using spectral mixture analysis for fire severity mapping.‘2nd International Conference on Forest Fire Research, Coimbra’. pp. 667–677.
Caetano MSMertes LCadete LPereira MC1996Assessment of AVHRR data for characterising burned areas and post-fire vegetation recovery.EARSEL Advances in Remote Sensing4124134
Chuvieco E1997Remote sensing applications in forest fires.‘Forest fire risk and management’.Balabanis PEftichidis GFantechi R193207Office for Official Publications of the European CommunitiesLuxemburg
Chuvieco E1999 ‘Remote sensing of large wildfires in the European Mediterranean Basin.’ Springer-VerlagNew York
Chuvieco ECongalton RG1988Using cluster analysis to improve the selection of training statistics in classifying remotely sensed data.Photogrammetric Engineering and Remote Sensing5412751281
Costa-Posada C1997‘The topographic effect in visible and near infrared satellite imagery.’PhD thesis, University of Cambridge, Cambridge, UK.
Eastwood JAPlummer BKWyatt BKStocks BJ1998The potential of SPOT-VGT data for fire scar detection in boreal forest.International Journal of Remote Sensing1936813687doi:10.1080/014311698213894
Gitas IZ1999‘Geographical information systems and remote sensing in mapping and monitoring fire-altered forest landscapes.’PhD thesis, University of Cambridge, Cambridge, UK.
Hofmann TPuzicha JBuhmann J1998Unsupervised texture segmentation in a deterministic annealing framework.IEEE Transactions on Pattern Analysis and Machine Intelligence13478482
Huete ARJackson RDPost DF1985Spectral response of a plant canopy with different soil backgrounds.Remote Sensing of Environment173753doi:10.1016/0034-4257(85)90111-7
ICONA1992 ‘Los incendios forestales en España durante 1991.’ Instituto Nacional para la Conservación de la Naturaleza, MAPAMadrid
Imagine ERDAS2001 ‘User Guide.’ ERDAS Inc.Atlanta, GA
Lombraña MJ1995 ‘Monitoring of burnt forest areas with remote sensing data: a study in north-east Spain using Landsat TM and SPOT XS data.’ Technical Note No. I.95.80. Institute for Remote Sensing Applications, Joint Research CentreIspra, Italy
Makedos I1987The Pinus brutia forest of Thasos.‘Pinus halepensis and Pinus brutia forests (Ecology, management and development)’. Papanastasis V153160Hellenic Association of ForestersChalkida, Greece
Milne AK1986The use of remote sensing in mapping and monitoring vegetational change associated with bushfire events in eastern Australia.Geocarto International12534
Minnaert M1941The reciprocity principle in lunar photometry.The Astrophysical Journal93403410doi:10.1086/144279
Oliver CJMcConnell IStewart D1996Optimum texture segmentation of SAR clutter.‘EUSAR ’96: European conference on synthetic aperture radar’.Klemm RKeydahl WEnder J8184VDE-Verlag GmbhBerlin
Pausas JGVallejo VR1999The role of fire in European mediterranean ecosystems.‘Remote sensing of large wildfires’. Chuvieco Salinero E316Springer-VerlagBerlin
Pereira JMC1992Burned area mapping with conventional and selective principal component analysis.Revista Portuguesa de Geografía276378
Pereira JMCSetzer AW1993Spectral characteristics of fire scars in Landsat-5 TM images of Amazonia.International Journal of Remote Sensing1420612078
Pereira MCChuvieco EBeudoin ADesbois N1997Remote sensing of burned areas: a review.‘A review of remote sensing methods for the study of large wildland fires’. Chuvieco E127184Departamento de Geografía, Universidad de AlcaláAlcalá de Henares
Richter R1997Correction of atmospheric and topographic effects for high spatial resolution satellite imagery.International Journal of Remote Sensing1810991111doi:10.1080/014311697218593
Robinson JM1991Fire from space: global fire evaluation using infrared remote sensing.International Journal of Remote Sensing12324
San Miguel-Ayanz JAnnoni ASchmuck G1998The use of satellite imagery for retrieval of information on wildfire damage in Mediterranean landscapes.‘ERIM ’98, International symposium on remote sensing of environment: information for sustainability, 8–12 June 1998, Tromsø, Norway’.758762Norwegian Space CentreOslo
Siljeström PMoreno A1995Monitoring burnt areas by principal components analysis of multi-temporal TM data.International Journal of Remote Sensing1615771587
Simpson CJ1990Deep weathering, vegetation and fire burn. Significant obstacles for geoscience remote sensing in Australia.International Journal of Remote Sensing1120192034
Tanaka SKimura HSuga Y1983Preparation of a 1:25 000 Landsat map for assessment of burnt area on Etajima Island.International Journal of Remote Sensing41731doi:10.1016/0165-5728(83)90060-7