2025-09-18, 15:30–16:15 (UTC), Aula 2 (workshops)
This workshop provides a hands-on tutorial to merge to improve global digital terrain models (DTMs) by high-quality local LiDAR data while maintaining consistency with a standardized global framework.
The session complements the oral presentation "A Framework of Federal Global Ensemble Terrain Model" and offers participants a practical workflow to empower GEDTM30 data users to improve GEDTM30 for local application.
The workshop is structured in three parts:
(1) Introduction and Data Access: Participants will learn to access and visualize GEDTM30 elevation data through STAC-compliant endpoints and understand its spatial structure and metadata.
(2) Local LiDAR Integration: This section focuses on preprocessing local high-quality LiDAR-derived DTMs, resampling them to match the GEDTM30 30-meter grid, and incorporating them into the ensemble model to enhance local accuracy while preserving global consistency.
(3) Land Surface variable Derivation and Validation: Participants will derive surface parameters (e.g., slope, aspect) from the enhanced terrain model and perform validation analyses to quantify improvements and ensure consistency with the global baseline.
This workshop is intended for researchers, data scientists, and GIS professionals interested in terrain modeling, geospatial data fusion, and scalable environmental data processing workflows.
Open-Earth-Monitor Cyberinfrastructure (Grant agreement ID: 101059548)
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I am a research assistant / geoinformatician focusing on lidar processing, machine learning on terrain and vegetation height modeling. I am also working on cloud-native vector data format and functionality development.