Asset Details
Do you wish to reserve the book?
Approach maximum likelihood classification and cellular automata markov chain model for land use/land cover change prediction in Nagan Raya Country, Indonesia
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Approach maximum likelihood classification and cellular automata markov chain model for land use/land cover change prediction in Nagan Raya Country, Indonesia
Do you wish to request the book?
Approach maximum likelihood classification and cellular automata markov chain model for land use/land cover change prediction in Nagan Raya Country, Indonesia
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Approach maximum likelihood classification and cellular automata markov chain model for land use/land cover change prediction in Nagan Raya Country, Indonesia
2024
Overview
Forest is one of the land cover classes found in Nagan Raya District. Deforestation can contribute to a decrease in carbon emission absorption potential. Land cover change can affect a region’s policy in managing a good environment. This study aims to determine land cover change for the period 2007-2023 and predict land cover in 2035. Land cover change analysis uses Maximum Likelihood Classification (MLC) and Cellular Automata Markov Chain to predict land cover in 2035. Land cover was classified into 8 (eight) groups using kappa coefficient estimation. The kappa result for land cover in 2007 was 77%. The kappa result for land cover in 2015 was 84% and the kappa result for land cover in 2023 was 82%. The dominating land cover in 2023 is forest with the area of 169.555,44 Ha. Forest deforestation in 2007-2023 amounted to 19.926 Ha (10,5%) and the addition of farmfield is 9.428 Ha (9,4%). The validation of the 2035 model is 0,79, in which the declining land cover classes are forests 12.848 Ha (7,6%), wetlands 1.518 Ha (10,8%), rice field 131,2 Ha (2%), open land 4.935 Ha (38,1%) and water bodies 164,2 Ha (4,2%). While the increasing land cover classes are settlement 1.502 Ha (20,1%) and farmfield 20.709,9 Ha (18,9%). The results of this study can support policy decision-making and regional planning systems in Nagan Raya District.
Publisher
IOP Publishing
Subject
