Modeling Land Cover Change Using Markov Chain-Cellular Automata in Sorong, West Papua Province

DOI

10.2991/absr.k.210408.026How to use a DOI?

Keywords

Markov Chain, Cellular Automata, Land cover change, Sorong City

Abstract

Land cover change is a complex interaction of environmental and socioeconomic factors. The purpose of this article is to determine changes in land cover using satellite imagery data, predict land cover in the next ten years and determine the factors that affect land cover change. The Markov Chain and Cellular Automata (Markov-CA) approach have been applied to create land-use change modeling dynamics in Sorong Regency, Papua Barat, Indonesia. The multi-temporal remotely sensed data, Landsat 7 TM in 2003 and Landsat 8 OLI in 2017, were used to produce the landcover maps. The results showed that land cover change during 2003-2017 is dominated by reducing forested land and becoming settlement and shrub area. The integration of Markov Chain and Cellular Automata can construct a spatial prediction of land cover change in 2017-2025 in Sorong City. Therefore, this modeling can be used to create maps of land cover change in the future.

Copyright

© 2021, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Francina F. Kesaulija
AU  - Marlon Ivanhoe Aipassa
AU  - Muhammad Sumaryono
AU  - Ali Suhardiman
PY  - 2021
DA  - 2021/04/10
TI  - Modeling Land Cover Change Using Markov Chain-Cellular Automata in Sorong, West Papua Province
BT  - Proceedings of the Joint Symposium on Tropical Studies (JSTS-19)
PB  - Atlantis Press
SP  - 157
EP  - 162
SN  - 2468-5747
UR  - https://doi.org/10.2991/absr.k.210408.026
DO  - 10.2991/absr.k.210408.026
ID  - Kesaulija2021
ER  -