Modeling Land Cover Change Using Markov Chain-Cellular Automata in Sorong, West Papua Province
- 10.2991/absr.k.210408.026How to use a DOI?
- Markov Chain, Cellular Automata, Land cover change, Sorong City
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.
- © 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/).
Cite this article
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 -