Classification of the vegetation in the Virunga National Park (D.R. ...

After the validation and correction, the maps can by integrated in projects supported by
UNESCO. The results of this classification and validation can by used to classify more recent images,
and can than be used to study the change of the vegetation over the years. It can be a helpful
tool in monitoring and management activities.
ACKNOWLEDGEMENTS
Special thanks go to Christine Marius who helped us to improve the classification and to Johan
Lavreau and Philippe Trefois of the Royal Museum of Central Africa in Tervuren who gave us access
to all the necessary books and maps.
REFERENCES
Brandt T.S.O. & Mather P.M., 2001. Classification Methods for Remotely Sensed Data. Taylor & Francis
Groom G.B., Fuller R.M. & Jones A.R., 1996. Contextual Correction: Techniques for Improving. King R.B.,
2001.
Land Cover Mapping Principles: a Return to Interpretation Fundamentals. Int. J. Remote Sensing, 23, 3525-
3545
Land Cover Mapping from Remotely Sensed Images. Int. J. Remote Sensing, 17, 69-89
Lebrun J., 1936. Vegetatiebeelden der Nationale Parken van Belgisch Kongo: Het Nationaal Albert Park,
aflevering 3, 4 en 5: De Vegetatie van de Nyiragongo. Marcel Hayez
Lillesand T.M. & Kiefer R.W., 2000. Remote Sensing and Image Interpretation. John Wiley & Sons, Inc.
Marius C., 1976. Onderzoeksprogramma over de flora en de vegetatie van de Birunga en van Kahuzi-Biega;
Toelichting bij een vegetatiekartering van de Birunga en van Kahuzi Biega. K.F.K.O.
Robyns W., Vegetatiebeelden der Nationale Parken van Belgisch Kongo: Het Nationaal Albert Park; aflevering
1 en 2 :Algemeen Overzicht der Vegetatie. Marcel Hayez
Vanoverstraeten M. & Trefois P., 1993. Detectability of Land Systems by Classification from Landsat Thematic
data, Virunga National Park (Zaïre) Int. J. Remote Sensing, 14, 2857-2873
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J. Verbeken, L. De Temmerman, R. Goossens, Ph. De Maeyer & J. Lavreau