Modeling of land cover changes on alternative scenarios

Anton Afanasyev; Alexander Zamyatin; Pedro Cabral

doi:10.1109/WSC.2017.8247998

Modeling of land cover changes on alternative scenarios

Anton Afanasyev, Alexander Zamyatin, Pedro Cabral

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The modeling of changes in landscape cover is a task that helps to predict the development of the territory, which may be useful, for example, in planning infrastructure development (Singh et al. 2015). In practice it is also useful to consider other development scenarios of the study area. In this paper we consider the task of handling the simulation by alternative scenarios using cellular automata and Markov chains. Approach to the preparation of initial data for modeling by an alternative scenario is proposed, the conditions for the correctness of the modification are considered, and a modification algorithm is proposed that allows maintaining correctness when partial modification conditions are met. The approach is tested on the problem of land cover changes forecasting of Portugal territory in the framework of the project LANDYN.

Original language	English
Title of host publication	2017 Winter Simulation Conference, WSC 2017
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	2729-2739
Number of pages	11
Volume	Part F134102
ISBN (Electronic)	9781538634288
DOIs	https://doi.org/10.1109/WSC.2017.8247998
Publication status	Published - 2017
Event	2017 Winter Simulation Conference, WSC 2017 - Las Vegas, United States Duration: 3 Dec 2017 → 6 Dec 2017

Conference

Conference	2017 Winter Simulation Conference, WSC 2017
Country/Territory	United States
City	Las Vegas
Period	3/12/17 → 6/12/17

Keywords

cellular automata
Markov processes
land cover

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/WSC.2017.8247998

Cite this

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title = "Modeling of land cover changes on alternative scenarios",

abstract = "The modeling of changes in landscape cover is a task that helps to predict the development of the territory, which may be useful, for example, in planning infrastructure development (Singh et al. 2015). In practice it is also useful to consider other development scenarios of the study area. In this paper we consider the task of handling the simulation by alternative scenarios using cellular automata and Markov chains. Approach to the preparation of initial data for modeling by an alternative scenario is proposed, the conditions for the correctness of the modification are considered, and a modification algorithm is proposed that allows maintaining correctness when partial modification conditions are met. The approach is tested on the problem of land cover changes forecasting of Portugal territory in the framework of the project LANDYN.",

keywords = "cellular automata, Markov processes, land cover",

author = "Anton Afanasyev and Alexander Zamyatin and Pedro Cabral",

note = "Afanasyev, A., Zamyatin, A., & Cabral, P. (2018). Modeling of land cover changes on alternative scenarios. In 2017 Winter Simulation Conference, WSC 2017 (Vol. Part F134102, pp. 2729-2739). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WSC.2017.8247998; 2017 Winter Simulation Conference, WSC 2017 ; Conference date: 03-12-2017 Through 06-12-2017",

year = "2017",

doi = "10.1109/WSC.2017.8247998",

language = "English",

volume = "Part F134102",

pages = "2729--2739",

booktitle = "2017 Winter Simulation Conference, WSC 2017",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

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TY - GEN

T1 - Modeling of land cover changes on alternative scenarios

AU - Afanasyev, Anton

AU - Zamyatin, Alexander

AU - Cabral, Pedro

N1 - Afanasyev, A., Zamyatin, A., & Cabral, P. (2018). Modeling of land cover changes on alternative scenarios. In 2017 Winter Simulation Conference, WSC 2017 (Vol. Part F134102, pp. 2729-2739). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WSC.2017.8247998

PY - 2017

Y1 - 2017

N2 - The modeling of changes in landscape cover is a task that helps to predict the development of the territory, which may be useful, for example, in planning infrastructure development (Singh et al. 2015). In practice it is also useful to consider other development scenarios of the study area. In this paper we consider the task of handling the simulation by alternative scenarios using cellular automata and Markov chains. Approach to the preparation of initial data for modeling by an alternative scenario is proposed, the conditions for the correctness of the modification are considered, and a modification algorithm is proposed that allows maintaining correctness when partial modification conditions are met. The approach is tested on the problem of land cover changes forecasting of Portugal territory in the framework of the project LANDYN.

AB - The modeling of changes in landscape cover is a task that helps to predict the development of the territory, which may be useful, for example, in planning infrastructure development (Singh et al. 2015). In practice it is also useful to consider other development scenarios of the study area. In this paper we consider the task of handling the simulation by alternative scenarios using cellular automata and Markov chains. Approach to the preparation of initial data for modeling by an alternative scenario is proposed, the conditions for the correctness of the modification are considered, and a modification algorithm is proposed that allows maintaining correctness when partial modification conditions are met. The approach is tested on the problem of land cover changes forecasting of Portugal territory in the framework of the project LANDYN.

KW - cellular automata

KW - Markov processes

KW - land cover

UR - http://www.scopus.com/inward/record.url?scp=85044519197&partnerID=8YFLogxK

U2 - 10.1109/WSC.2017.8247998

DO - 10.1109/WSC.2017.8247998

M3 - Conference contribution

AN - SCOPUS:85044519197

VL - Part F134102

SP - 2729

EP - 2739

BT - 2017 Winter Simulation Conference, WSC 2017

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 2017 Winter Simulation Conference, WSC 2017

Y2 - 3 December 2017 through 6 December 2017

ER -

Modeling of land cover changes on alternative scenarios

Abstract

Conference

Keywords

UN SDGs

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