Assessing the influence of sample size and spatial sampling strategies on GeoAI-based digital elevation model error correction: A case study of the Sabaragamuwa University area, Sri Lanka
Digital Elevation Models (DEMs) are essential for terrain analysis, hydrological modeling, disaster assessment, and environmental monitoring. However, freely available DEMs often contain significant vertical errors due to the terrain complexity, vegetation cover, and sensor-related limitations. Although Machine Learnin...