Yazarlar (2) |
![]() Kastamonu Üniversitesi, Türkiye |
![]() Kastamonu Üniversitesi, Türkiye |
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 ((Formula presented.) = 0.170) and stand density ((Formula presented.) = 0.397), the sum of Sentinel-1 pixels for the number of trees ((Formula presented.) = 0.396) and the mean of Sentinel-2 pixels for stand volume ((Formula presented.) = 0.095). For Scots pine stands, the best models used the mean of Sentinel-2 pixels for stand diameter ((Formula presented.) = 0.314) and the sum of Sentinel-2 pixels for the number of trees ((Formula presented.) = 0.277), basal area ((Formula presented.) = 0.344), stand volume ((Formula presented.) = 0.123), and stand density ((Formula presented.) = 0.432). It achieved its best results in estimating stand density, showing the potential of remote sensing for forest inventory. |
Anahtar Kelimeler |
active sensor | forest inventory | Forestry | innovation and infrastructure | passive sensor | SDG 9: industry |
Makale Türü | Özgün Makale |
Makale Alt Türü | SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale |
Dergi Adı | Journal of Sustainable Forestry |
Dergi ISSN | 1054-9811 Wos Dergi Scopus Dergi |
Dergi Grubu | Q2 |
Makale Dili | İngilizce |
Basım Tarihi | 01-2025 |
Sayı | 1 |
Doi Numarası | 10.1080/10549811.2025.2529390 |