Prediction of LAI in Scots Pine Forests of Türkiye Using UAV and Sentinel 2 Images
Yazarlar (5)
Dr. Öğr. Üyesi Hasan AKSOY Sinop Üniversitesi, Türkiye
Annıka Kangas
Natural Resources Institute Finland (Luke), Finlandiya
Natural Resources Institute Finland (Luke), Finlandiya
Petteri Packalen
Natural Resources Institute Finland (Luke), Finlandiya
Natural Resources Institute Finland (Luke), Finlandiya
Laurı Korhonen Itä-Suomen Yliopisto, Finlandiya
Prof. Dr. Alkan Günlü Çankırı Karatekin Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Transactions in GIS (Q2) | ||
| Dergi ISSN | 1361-1682 Dergi Bilgileri (2026) | ||
| Dergi Tarandığı Indeksler | SSCI | ||
| Makale Dili | İngilizce | Basım Tarihi | 05-2026 |
| Kabul Tarihi | 07-05-2026 | Yayınlanma Tarihi | 01-05-2026 |
| Cilt / Sayı / Sayfa | 30 / 3 / – | DOI | 10.1111/tgis.70286 |
| Makale Linki | https://doi.org/10.1111/tgis.70286 | ||
| UAK Araştırma Alanları |
Orman Hasılatı ve Amenajmanı
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| Özet |
| Monitoring the structural characteristics of vegetation cover is critical for understanding ecosystem functioning and sustainable forest management. Effective Leaf area index (LAIe) is directly related to photosynthetic capacity, carbon cycle, and water balance of ecosystems. In this study, LAIe prediction was performed using random forest algorithms with five different datasets obtained from unmanned aerial vehicle (UAV) images and Sentinel 2 (S2) satellite images. The study aimed to (1) determine which UAV features perform best in the prediction of LAIe, and (2) to compare prediction accuracies obtained while using UAV and S2 features. To evaluate the contribution of different data sources, five datasets were considered, namely UAV_RGB (DS1), UAV_3D (DS2), UAV_ALL (DS3), S2 (DS4), and ALL (DS5), with corresponding RMSE% values of approximately 27.3, 29.6, 24.4, 32.1, and 24.8, respectively. The … |
| Anahtar Kelimeler |
| LAI | random forest | sentinel 2 | temperate forest | UAV |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 2 |
| Scopus | 2 |
| Google Scholar | 2 |