The spatial distribution of slope angle is an important geotechnical indicator for assessing open-pit wall stability. This study proposes a method for deriving slope fields from a global digital elevation model and high-density airborne laser scanning data and identifying priority zones. A streaming algorithm processed hundreds of millions of points without loading the complete cloud into memory. At McKinley, 182,093,542 LiDAR returns were processed in 19.3 s with 98.4% coverage. In Angren, the mean slope was 13.6°, the maximum was 57.8°, and 62.7% of the area exceeded 7°. Global DEMs are suitable for screening, whereas LiDAR supports detailed analysis.
| Mualliflar | Abduvoxobov, Abbosbek |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashr sanasi | 2026-08-04 |
| Son | 3 |
| Betlar | 53-63 |
| Til | Rus |
open-pit slope, digital elevation model, slope field, LiDAR, streaming processing, Horn operator, kinematic screening, Angren mine, борт карьера, цифровая модель рельефа, поле уклонов, LiDAR, потоковая обработка, кинематический скрининг, Ангренский разрез, ochiq kon borti, raqamli relyef modeli, qiyalik maydoni, LiDAR, aerolazerli skanerlash, boʻlakli qayta ishlash, Horn operatori, kinematik skrining, Angren koni
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