| dc.contributor.advisor | | |
| dc.contributor.author | Kesaulija, Francina F. | |
| dc.contributor.author | Aipassa, Marlon I. | |
| dc.contributor.author | Sumaryono, Muhammad | |
| dc.contributor.author | Suhardiman, Ali | |
| dc.date.accessioned | 2021-07-07T12:06:01Z | |
| dc.date.available | 2021-07-07T12:06:01Z | |
| dc.date.issued | 2021 | |
| dc.identifier.other | Advances in Biological Sciences Research, volume 11 Proceedings of the Joint Symposium on Tropical Studies (JSTS-19) | |
| dc.identifier.uri | http://repository.unmul.ac.id/handle/123456789/6466 | |
| dc.description.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. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Atlantis Press | en_US |
| dc.subject | Markov Chain, Cellular Automata, Land cover change, Sorong City | en_US |
| dc.title | Modeling Land Cover Change Using Markov Chain- Cellular Automata in Sorong, West Papua Province | en_US |
| dc.type | Article | en_US |
