Estimating some stand parameters using Sentinel-1 and Sentinel-2 satellite images in pure black and Scots pine stands: A case study from Türkiye
Yazarlar (2)
Arş. Gör. Döndü BULUR Kastamonu Üniversitesi, Türkiye
Doç. Dr. Oytun Emre Sakıcı Kastamonu Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Journal of Sustainable Forestry (Q2) | ||
| Dergi ISSN | 1054-9811 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 08-2025 |
| Cilt / Sayı / Sayfa | 44 / 8 / 729–751 | DOI | 10.1080/10549811.2025.2529390 |
| Makale Linki | https://doi.org/10.1080/10549811.2025.2529390 | ||
| UAK Araştırma Alanları |
Orman Hasılatı ve Amenajmanı
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| Özet |
| This study modeled various stand parameters (stand diameter, number of trees, basal area, volume, density) in pure Black and Scots pine stands in the Kastamonu Region of Türkiye using remote sensing data. A total of 146 Black pine and 96 Scots pine sample plots were analyzed. Stand parameters were calculated based on data obtained from field measurements. Data from Sentinel-1 (backscattering, polarization ratio, texture) and Sentinel-2 (reflectance, vegetation index, texture) were used, aggregated as the mean and sum of pixels for the sample plots. Correlation analysis identified relationships between stand parameters and remote sensing data, while stepwise regression analysis developed estimation models. In Black pine stands, the best models used the sum of Sentinel-2 pixels for stand diameter (= 0.170) and stand density (= 0.397), the sum of Sentinel-1 pixels for the number of trees (= 0.396) and the mean of … |
| Anahtar Kelimeler |
| active sensor | forest inventory | Forestry | innovation and infrastructure | passive sensor | SDG 9: industry |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 1 |
| Scopus | 1 |
| Google Scholar | 2 |