This course introduces practical, command-line workflows for preparing raster data for analysis and cloud deployment using GDAL. You will build foundational skills in inspecting raster metadata, making informed reprojection decisions, and optimizing elevation datasets for cloud-based access using Cloud-Optimized GeoTIFFs (COGs).

Through guided explanations, hands-on labs, and scenario-based reflection activities, you will explore how projection choice, resolution, resampling methods, internal tiling, compression, and overviews affect raster accuracy and performance. The course emphasizes intentional decision-making rather than default command usage, helping learners understand not just how to run GDAL tools, but why specific options matter in real-world geospatial workflows. You are required to have basic familiarity with raster data concepts and comfort using a command-line interface. However, no prior GDAL experience is required. By the end of the course, you will be able to confidently inspect, reproject, optimize, and validate digital elevation models (DEMs) for reliable analytical use and efficient cloud deployment.