2025-09-17, 13:30–14:15 (UTC), Aula 2 (workshops)
Spaceborne Lidar, such as ICESat-2 and GEDI, is global missions for land surface monitor tools across terrain, vegetation and ice monitoring. The huge terabytes volume of data and non-cloud-optimized format thwarts the usage and access for the dataset. In the workshop, we are presenting an algorithm to reorganize spaceborne lidar and a STAC visualization solution. The functionalities will be demonstrated in Jupyter notebook. covering accessing STAC collections of ICESat-2 and GEDI respectively, spatial and temporal lazy-loading from DuckDB, and data exportation to desired format. The workshop will be in Python to connect various software APIs.
Open-Earth-Monitor Cyberinfrastructure (Grant agreement ID: 101059548)
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.