Abstract
Nowadays one of the most effective and widely used ways for the land cover change modelling is an application of cellular automata (CA). One of the key factors in influencing on the effectiveness of the CA application is defining the CA transition rules in each specific case. The paper proposes a compositional probabilistic approach to defining CA transition rules with more complex nature compared to the traditional approach to the CA land cover change modelling. The preliminary investigation results show that proposed approach allows performing the modelling more effectively and its results could be more accurate compared to ones obtained by existing models of land cover change. The accuracy estimation of the proposed approach is conducted using model time series thematic maps and truth thematic maps obtained from the time series satellite images RESURS-O1 for the Uymon steppe area (Altay region, Russia) on 1998, 1999, 2000.
| Original language | English |
|---|---|
| Title of host publication | Proceedings 2005 - The 8th AGILE International Conference on Geographic Information Science, AGILE 2005 |
| Publication status | Published - 2005 |
| Event | 8th AGILE International Conference on Geographic Information Science, AGILE 2005 - Estoril, Portugal Duration: 26 May 2005 → 28 May 2005 |
Other
| Other | 8th AGILE International Conference on Geographic Information Science, AGILE 2005 |
|---|---|
| Country | Portugal |
| City | Estoril |
| Period | 26.5.05 → 28.5.05 |
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Keywords
- Cellular automata
- Land cover change
- Transition probabilities
ASJC Scopus subject areas
- Information Systems
- Geography, Planning and Development
Cite this
Approach to land cover change modelling using cellular automata. / Zamyatin, Alexander; Markov, Nikolay.
Proceedings 2005 - The 8th AGILE International Conference on Geographic Information Science, AGILE 2005. 2005.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Approach to land cover change modelling using cellular automata
AU - Zamyatin, Alexander
AU - Markov, Nikolay
PY - 2005
Y1 - 2005
N2 - Nowadays one of the most effective and widely used ways for the land cover change modelling is an application of cellular automata (CA). One of the key factors in influencing on the effectiveness of the CA application is defining the CA transition rules in each specific case. The paper proposes a compositional probabilistic approach to defining CA transition rules with more complex nature compared to the traditional approach to the CA land cover change modelling. The preliminary investigation results show that proposed approach allows performing the modelling more effectively and its results could be more accurate compared to ones obtained by existing models of land cover change. The accuracy estimation of the proposed approach is conducted using model time series thematic maps and truth thematic maps obtained from the time series satellite images RESURS-O1 for the Uymon steppe area (Altay region, Russia) on 1998, 1999, 2000.
AB - Nowadays one of the most effective and widely used ways for the land cover change modelling is an application of cellular automata (CA). One of the key factors in influencing on the effectiveness of the CA application is defining the CA transition rules in each specific case. The paper proposes a compositional probabilistic approach to defining CA transition rules with more complex nature compared to the traditional approach to the CA land cover change modelling. The preliminary investigation results show that proposed approach allows performing the modelling more effectively and its results could be more accurate compared to ones obtained by existing models of land cover change. The accuracy estimation of the proposed approach is conducted using model time series thematic maps and truth thematic maps obtained from the time series satellite images RESURS-O1 for the Uymon steppe area (Altay region, Russia) on 1998, 1999, 2000.
KW - Cellular automata
KW - Land cover change
KW - Transition probabilities
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M3 - Conference contribution
AN - SCOPUS:84874246914
BT - Proceedings 2005 - The 8th AGILE International Conference on Geographic Information Science, AGILE 2005
ER -