Monitoring of land use/land cover changes using GIS and CA-Markov modeling techniques: a study in Northern Turkey
Yazarlar (2)
Dr. Öğr. Üyesi Hasan AKSOY Sinop Üniversitesi, Türkiye
Doç. Dr. Sinan Kaptan Bartın Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Environmental Monitoring and Assessment (Q3) | ||
| Dergi ISSN | 0167-6369 Dergi Bilgileri (2021) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 01-2021 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 23-07-2021 |
| Cilt / Sayı / Sayfa | 193 / 8 / 507–0 | DOI | 10.1007/s10661-021-09281-x |
| Makale Linki | http://dx.doi.org/10.1007/s10661-021-09281-x | ||
| UAK Araştırma Alanları |
Orman Hasılatı ve Amenajmanı
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| Özet |
| The purpose of this study, covering the northern Ulus district of Turkey, was to analyze the forest and land use/land cover (LULC) changes in the past period from 2000 to 2020, and to predict the possible changes in 2030 and 2040, using remote sensing (RS) and geographic information systems (GIS) together with the CA–Markov model. The maximum likelihood classified (MLC) technique was used to produce LULC maps, using 2000 and 2010 Landsat (ETM +) and 2020 Landsat (OLI) images based on existing stand-type maps as reference. Using the historical data from the generated LULC maps, the LULC changes for 2030–2040 were predicted via the CA-Markov hybrid model. The reliability of the model was verified by overlapping the 2020 LULC map with the 2020 LULC model (predicted) map. The overall accuracy was found to be 80.90%, with a Kappa coefficient of 0.74. The total forest area (coniferous … |
| Anahtar Kelimeler |
| CA-Markov | Forest cover change | GIS | LULC | Simulation | Turkey |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 40 |
| Scopus | 40 |
| Google Scholar | 59 |