AbstractAn empirical model of forest succession was developed using MSS data. Images from 1976 and 1987 were classified and registered to assess vegetation change. Data were analyzed to determine the proportion of each landscape class that changed, and these proportions were used to develop a Markov Model. The simulation model was run to produce forest cover for 99 years. MSS data were classified into six classes with an overall accuracy of 93%. The landscape composition remained relatively constant, but over half the individual units changed, indicating a dynamic equilibrium. Results of the Markov model show a theoretical climax community that stabilizes rapidly. Over 60% of the area was composed of conifer, supporting the concept of a conifer dominated climax. However, continuous levels of other classes were maintained, indicating an inherently heterogeneous landscape.


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    Title :

    Modelling forest ecosystem dynamics using multitemporal multispectral scanner (MSS) data


    Contributors:
    Jarvis, C. (author)

    Published in:

    Advances in Space Research ; 14 , 3 ; 277-281


    Publication date :

    1993-01-01


    Size :

    5 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Modelling Forest Ecosystem Dynamics Using Multitemporal Multispectral Scanner (MSS) Data

    Jarvis, C. / Committee on Space Research / International Council of Scientific Unions | British Library Conference Proceedings | 1993