Spatio-temporal modeling of land cover using Markov theory

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8 Mar 2006 13:30 - 8 Mar 2006 14:00
Unit: Wageningen UR
Location: room Lumen 1, Droevendaalsesteeg

 By: Wieke Heldens  

Abstract  
Several types of land cover models have been developed for different purposes in research, planning and policy making. An often used type of a land cover model is a stochastic model, which uses probabilities to predict new land use. These probabilities can be used to calculate probability maps or to simulate land use. The Markov property gives interesting possibilities for such stochastic models, especially in taking both temporal and spatial aspect into account. In this thesis these possibilities have been investigated, in order to find out if Markov theory is suitable for spatio-temporal simulation of land cover.
This is done by making three Markov land cover models of increasing complexity. The first model only takes changes in time into account. The second model uses the land cover of the pixel at the previous time and its neighbours at the previous time. The third model takes the land cover of the pixel at the previous time and the land cover of the current neighbours into account.
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