Integration of field measurements with unmanned aerial vehicle to predict forest inventory metrics at tree and stand scales in natural pure Crimean pine forests
Yazarlar (5)
Doç. Dr. Sinan Bulut Çankırı Karatekin Üniversitesi, Türkiye
Prof. Dr. Alkan Günlü Çankırı Karatekin Üniversitesi, Türkiye
Dr. Öğr. Üyesi Hasan AKSOY Sinop Üniversitesi, Türkiye
Doç. Dr. Ferhat Bolat Çankırı Karatekin Üniversitesi, Türkiye
Mücahit Yılmaz Sönmez
Izmir Regional Directorate Of Forestry, Türkiye
Izmir Regional Directorate Of Forestry, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | International Journal of Remote Sensing (Q2) | ||
| Dergi ISSN | 0143-1161 Dergi Bilgileri (2024) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 06-2024 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 04-06-2024 |
| Cilt / Sayı / Sayfa | 45 / 12 / 3872–3896 | DOI | 10.1080/01431161.2024.2357837 |
| Makale Linki | http://dx.doi.org/10.1080/01431161.2024.2357837 | ||
| UAK Araştırma Alanları |
Orman Hasılatı ve Amenajmanı
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| Özet |
| Inventorying forest ecosystems is an essential part of forest management planning. However, it is quite costly and time-consuming, particularly for larger areas. Recently, significant developments have been made in unmanned aerial vehicle (UAV) technology to improve the cost and time efficiency in forest inventory. Therefore, UAV images have become one of the inventory tools that produces data with high spatial resolution in determining forest resources. This study aims to investigate the contribution of UAV data to forest inventory in a case study area with a total of 30 sample plots located in pure and natural Crimean pine (Pinus nigra J.F. Arnold ssp. pallasiana (Lamb.) Holmboe) stands in the Black Sea backward region of Türkiye. Total tree height (h) and stem volume (v) were recorded at individual tree level (n = 367), and the number of trees (N), mean height (hmean), top height (htop), stand basal area (BA … |
| Anahtar Kelimeler |
| coniferous forest | forest inventory | point cloud | Remote sensing | UAV |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 7 |
| Scopus | 6 |
| Google Scholar | 8 |