Simulation of future forest and land use/cover changes (2019-2039) using the cellular automata-Markov model
Yazarlar (2)
Dr. Öğr. Üyesi Hasan AKSOY Sinop Üniversitesi, Türkiye
Doç. Dr. Sinan Kaptan Bartin Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Geocarto International (Q2) | ||
| Dergi ISSN | 1010-6049 Dergi Bilgileri (2022) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 01-2022 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 22-06-2020 |
| Cilt / Sayı / Sayfa | 37 / 4 / 1183–1202 | DOI | 10.1080/10106049.2020.1778102 |
| Makale Linki | https://www.tandfonline.com/doi/full/10.1080/10106049.2020.1778102 | ||
| UAK Araştırma Alanları |
Orman Hasılatı ve Amenajmanı
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| Özet |
| This study aimed to simulate and assess forest cover and land use/land cover (LULC) changes between 2019 and 2039 using the cellular automata-Markov model. The performance of the model was evaluated by comparing the 2019 simulation map with the 2019 supervised classified map, and it was found to be reliable, with a similarity rate of 85.43%. The LULC analysis and estimates were carried out for a total of six classes: coniferous, broad-leaf, mixed forest, settlement, water and agriculture. Between 1999 and 2019, the areas of total forest increased by 17.4%, settlement by 84.6% and water by 20.1%, whereas the agriculture area decreased by 33.2%. According to 2019‒2039 land use/cover simulation results, there were decreases of 2.4% in total forest area and 3.7% in residential and water surface areas, but a 6.9% decrease in the agriculture class. Tracking these changes will contribute to decision … |
| Anahtar Kelimeler |
| CA-Markov | Forest structure | GIS | LULC | remote sensing |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 35 |
| Scopus | 27 |
| Google Scholar | 55 |