Approach to land cover change modelling using cellular automata

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

Keywords

Cellular automata
Land cover change
Transition probabilities

ASJC Scopus subject areas

Information Systems
Geography, Planning and Development

Access to Document

Fingerprint Dive into the research topics of 'Approach to land cover change modelling using cellular automata'. Together they form a unique fingerprint.

Cite this

@inproceedings{2e2f44330ae0433abb4614d62f3b4988,

title = "Approach to land cover change modelling using cellular automata",

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.",

keywords = "Cellular automata, Land cover change, Transition probabilities",

author = "Alexander Zamyatin and Nikolay Markov",

year = "2005",

language = "English",

booktitle = "Proceedings 2005 - The 8th AGILE International Conference on Geographic Information Science, AGILE 2005",

note = "8th AGILE International Conference on Geographic Information Science, AGILE 2005 ; Conference date: 26-05-2005 Through 28-05-2005",

}

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

UR - http://www.scopus.com/inward/record.url?scp=84874246914&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84874246914&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84874246914

BT - Proceedings 2005 - The 8th AGILE International Conference on Geographic Information Science, AGILE 2005

T2 - 8th AGILE International Conference on Geographic Information Science, AGILE 2005

Y2 - 26 May 2005 through 28 May 2005

ER -