ICESat-2 for evaluating space-borne and national digital elevation models across forest and non-forest landscapes in Kastamonu, Türkiye
Yazarlar (3)
Prof. Dr. Arif Oğuz ALTUNEL Kastamonu Üniversitesi, Türkiye
Doç. Dr. Emre AKTÜRK Kastamonu Üniversitesi, Türkiye
Chukwuma John Okolie University Of Cape Town, Güney Afrika Cumhuriyeti
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Advances in Space Research (Q1) | ||
| Dergi ISSN | 0273-1177 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 09-2025 |
| Cilt / Sayı / Sayfa | 76 / 5 / 2813–2836 | DOI | 10.1016/j.asr.2025.07.004 |
| Makale Linki | https://doi.org/10.1016/j.asr.2025.07.004 | ||
| Özet |
| Technological advancements have revolutionized the production of Global digital elevation models (DEMs). Today, there is an ever-increasing availability of global DEMs for scientific applications. The 12 m TanDEM-X, 30 m TanDEM-X Edited, 30 m Copernicus, and 30 m FABDEM global DEMs, along with the 5 m Turkish national DEM were compared in this study. While the global DEMs result from interferometric synthetic aperture radar, the Turkish DEM is produced by stereo-photogrammetry. The assessment was conducted in forested and non-forested settings. The validation was done using the Ice, Cloud and Land Elevation Satellite-2 (ICESat-2) LiDAR. Generally, FABDEM emerged as the most reliable DEM, achieving the best performance in three settings (whole area RMSE: 2.93 m; forest RMSE: 3.98 m; >70 % canopy closure RMSE: 4.31 m). In contrast, the Turkish national DEM outperformed the other … |
| Anahtar Kelimeler |
| Copernicus | FABDEM | Forest cover | ICESat-2 | TanDEM-X | Turkish national DEM |
Science Direct
ICESat-2 for evaluating space-borne and national digital elevation models across forest and non-forest landscapes in Kastamonu, Türkiye
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 1 |
| Scopus | 1 |
| Google Scholar | 2 |