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

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

Mar 1994

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1994adspr..14..277j&link_type=abstract

Advances in Space Research, Volume 14, Issue 3, p. 277-281.

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Scientific paper

An 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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