Investigating ICESat-2 ATL08 Terrain Height Estimation Performance and Affecting Factors: The Impact of Land Cover, Slope, and Acquisition Time
Yazarlar (3)
Doç. Dr. Emre AKTÜRK Kastamonu Üniversitesi, Türkiye
Prof. Dr. Arif Oğuz ALTUNEL Kastamonu Üniversitesi, Türkiye
Öğr. Gör. Samet DOĞAN Kastamonu Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Sensors (Q2) | ||
| Dergi ISSN | 1424-8220 Dergi Bilgileri (2026) | ||
| Dergi Tarandığı Indeksler | |||
| Makale Dili | İngilizce | Basım Tarihi | 04-2026 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 17-04-2026 |
| Cilt / Sayı / Sayfa | 26 / 8 / 2485–0 | DOI | 10.3390/s26082485 |
| Makale Linki | https://www.mdpi.com/1424-8220/26/8/2485 | ||
| UAK Araştırma Alanları |
Eğitim Bilimleri
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| Özet |
| Highlights What are the main findings? The ICESat-2 ATL08 h_te_best_fit terrain height metric yielded the lowest validation error (RMSE = 3.37 m) with a slight negative bias (−0.42 m) relative to terrestrial GNSS reference data in rugged and forested terrain. The terrain slope emerged as a prominent factor in the univariate analysis, degrading accuracy due to pulse broadening, followed by dense forest cover, which limits ground photon retrieval. What are the implications of the main findings? Implementing stricter quality control, specifically using Interquartile Range (IQR)-based outlier exclusion and higher ground photon thresholds, appeared to significantly improve data reliability in complex environments. While ATL08 offers valuable global elevation data, direct engineering applications in mountainous regions require post-processing to mitigate slope-induced systematic underestimation. Abstract Spaceborne LiDAR systems, such as ICESat-2, provide critical data for global land cover and topography; however, their performance in rugged, vegetated landscapes requires rigorous local validation. This study evaluates the vertical accuracy of ICESat-2 ATL08 terrain height metrics in the complex Turkish Western Black Sea region, utilizing a reference dataset of high-precision terrestrial GNSS measurements. Following strict IQR-based outlier detection and photon density filtering, 1637 spatially matched segments were analyzed. The h_te_best_fit terrain … |
| Anahtar Kelimeler |
| altimetry | ATL08 | ATLAS | DEM | ICESat-2 | IQR | lidar | terrain height |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Scopus | 1 |
| Google Scholar | 1 |