A semi-automated object-oriented model for burned area mapping in the Mediterranean region using Landsat-TM imageryG. H. Mitri A C and I. Z. Gitas B
A Department of Environmental Management, Mediterranean Agronomic Institute of Chania, Crete, Greece.
B Laboratory of Forest Management and Remote Sensing, Aristotle University of Thessaloniki, Greece. Telephone: +30 2310 992699; fax: +30 2310 998797; email: email@example.com
C Corresponding author. Telephone: +30 2310 992688; fax: +30 2310 998897; email: firstname.lastname@example.org
International Journal of Wildland Fire 13(3) 367-376 https://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 M , Schäpe A (1999) Object-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 M , Schäpe A (2000) Multiresolution segmentation—an optimization approach for high quality multi-scale image segmentation. ‘Angewandte Geographische Informationsverarbeitung XII. Beiträge zum AGIT-Symposium Salzburg 2000’. (Herbert Wichmann-Verlag: Karlsruhe)
Bourgeau-Chavez L, Harrell P, Kasischke ES , French NHF (1997) The detection and mapping of Alaskan wildfires using a spaceborne imaging radar system. International Journal of Remote Sensing 18, 355–373.
| CrossRef |
Caetano MS, Mertes AK , Pereira MC (1994) Using spectral mixture analysis for fire severity mapping. ‘2nd International Conference on Forest Fire Research, Coimbra’. pp. 667–677.
Caetano MS, Mertes L, Cadete L , Pereira MC (1996) Assessment of AVHRR data for characterising burned areas and post-fire vegetation recovery. EARSEL Advances in Remote Sensing 4, 124–134.
Chuvieco E (1997) Remote sensing applications in forest fires. In (Eds P Balabanis, G Eftichidis , R Fantechi ) pp. 193–207. (Office for Official Publications of the European Communities: Luxemburg)
Chuvieco E (1999) ‘Remote sensing of large wildfires in the European Mediterranean Basin.’ (Springer-Verlag: New York)
Chuvieco E , Congalton RG (1988) Using cluster analysis to improve the selection of training statistics in classifying remotely sensed data. Photogrammetric Engineering and Remote Sensing 54, 1275–1281.
Costa-Posada C (1997). ‘The topographic effect in visible and near infrared satellite imagery.’ PhD thesis, University of Cambridge, Cambridge, UK.
eCognition (2001) ‘User Guide.’ (Definiens Imaging GmbH: München)
Eastwood JA, Plummer BK, Wyatt BK , Stocks BJ (1998) The potential of SPOT-VGT data for fire scar detection in boreal forest. International Journal of Remote Sensing 19, 3681–3687.
| CrossRef |
Gitas IZ (1999). ‘Geographical information systems and remote sensing in mapping and monitoring fire-altered forest landscapes.’ PhD thesis, University of Cambridge, Cambridge, UK.
Hofmann T, Puzicha J , Buhmann J (1998) Unsupervised texture segmentation in a deterministic annealing framework. IEEE Transactions on Pattern Analysis and Machine Intelligence 13, 478–482.
Huete AR, Jackson RD , Post DF (1985) Spectral response of a plant canopy with different soil backgrounds. Remote Sensing of Environment 17, 37–53.
| CrossRef |
ICONA (1992) ‘Los incendios forestales en España durante 1991.’ (Instituto Nacional para la Conservación de la Naturaleza, MAPA: Madrid)
Imagine ERDAS (2001) ‘User Guide.’ (ERDAS Inc.: Atlanta, GA)
Lombraña MJ (1995) ‘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 Centre: Ispra, Italy)
Makedos I (1987) The Pinus brutia forest of Thasos. In (Ed. V Papanastasis ) pp. 153–160. (Hellenic Association of Foresters: Chalkida, Greece)
Milne AK (1986) The use of remote sensing in mapping and monitoring vegetational change associated with bushfire events in eastern Australia. Geocarto International 1, 25–34.
Minnaert M (1941) The reciprocity principle in lunar photometry. The Astrophysical Journal 93, 403–410.
| CrossRef |
Oliver CJ, McConnell I , Stewart D (1996) Optimum texture segmentation of SAR clutter. In (Eds R Klemm, W Keydahl , J Ender ) pp. 81–84. (VDE-Verlag Gmbh: Berlin)
Pausas JG , Vallejo VR (1999) The role of fire in European mediterranean ecosystems. In (Ed. E Chuvieco Salinero ) pp. 3–16. (Springer-Verlag: Berlin)
Pereira JMC (1992) Burned area mapping with conventional and selective principal component analysis. Revista Portuguesa de Geografía 27, 63–78.
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.
Pereira MC, Chuvieco E, Beudoin A , Desbois N (1997) Remote sensing of burned areas: a review. In (Ed. E Chuvieco ) pp. 127–184. (Departamento de Geografía, Universidad de Alcalá: Alcalá de Henares)
Richter R (1997) Correction of atmospheric and topographic effects for high spatial resolution satellite imagery. International Journal of Remote Sensing 18, 1099–1111.
| CrossRef |
Robinson JM (1991) Fire from space: global fire evaluation using infrared remote sensing. International Journal of Remote Sensing 12, 3–24.
San Miguel-Ayanz J, Annoni A , Schmuck G (1998) The use of satellite imagery for retrieval of information on wildfire damage in Mediterranean landscapes. In pp. 758–762. (Norwegian Space Centre: Oslo)
Siljeström P , Moreno A (1995) Monitoring burnt areas by principal components analysis of multi-temporal TM data. International Journal of Remote Sensing 16, 1577–1587.
Simpson CJ (1990) Deep weathering, vegetation and fire burn. Significant obstacles for geoscience remote sensing in Australia. International Journal of Remote Sensing 11, 2019–2034.
Tanaka S, Kimura H , Suga Y (1983) Preparation of a 1:25 000 Landsat map for assessment of burnt area on Etajima Island. International Journal of Remote Sensing 4, 17–31.
| CrossRef |