| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Geocarto International (Q1) | ||
| Dergi ISSN | 1010-6049 Dergi Bilgileri (2020) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 05-2020 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 20-05-2020 |
| Cilt / Sayı / Sayfa | 37 / 5 / 1408–1425 | DOI | 10.1080/10106049.2020.1765888 |
| Makale Linki | https://doi.org/10.1080/10106049.2020.1765888 | ||
| UAK Araştırma Alanları |
Orman Hasılatı ve Amenajmanı
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| Özet |
| This study used the Landsat 8 OLI satellite image and the supervised classification method to estimate uneven-aged forest stand parameters and land use/cover. The spatial success of classification was also investigated. The overall success rates and Kappa values of the classification were, respectively, 74.7% and 0.75 for actual structural type, 84.6% and 0.80 for crown closure, and 88.35% and 0.81 for land use class, whereas the spatial success of classification on the forest cover type map was 36.91% for actual structural type, 64.74% for crown closure, and 41.78% for land use/cover class. The results revealed that the Landsat 8 OLI image can be used to identify stand parameters and land use/cover class. However, because the spatial success rates were below 50% for the actual structural type and land use/cover class of the stand types, it is not suitable for use in spatial classification determination for these … |
| Anahtar Kelimeler |
| Landsat 8 OLI | spatial success | stand parameters | supervised classification | uneven-aged forest |
| Atıf Sayıları | |
| Web of Science | 7 |
| Scopus | 6 |
| Google Scholar | 10 |
| Dergi Adı | Geocarto International |
| Kısa Adı | GEOCARTO INT |
| Yayıncı | TAYLOR & FRANCIS LTD |
| Açık Erişim | Evet |
| ISSN | 1010-6049 |
| E-ISSN | 1752-0762 |
| Wos Quartile | Q1 |
| Scopus Quartile | Q1 |
| Tarandığı Indeksler | SCIE , Scopus |
| WoS Kategoriler | ENVIRONMENTAL SCIENCES | GEOSCIENCES, MULTIDISCIPLINARY | IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | REMOTE SENSING |
| Scopus Kategoriler | GEOGRAPHY, PLANNING AND DEVELOPMENT | WATER SCIENCE AND TECHNOLOGY |