2023-03-07, 11:45–12:15, Auditorium
An overview of Python libraries that produce Digital Surface Models (DSMs) from stereo satellite imagery
The NASA Ames Stereo Pipeline (ASP) is the canonical open source software to process stereo images captured by satellites into digital elevation models for terrain visualization and scientific analysis. In the last several years, individual researchers and teams have developed new Python libraries, such as S2P, to reconstruct 3D elevation data from stereo satellite imagery. Some tools are designed for massive scalability and built on top of modern libraries like xarray and dask, while other tools are focused on identifying and processing widely-available Planet imagery. This talk, inspired by a call for advice on generating digital elevation models from Planet data, focuses on approaches to processing openly-licensed Planet stereo imagery with various Python libraries.