Building Georeferenced Datasets from HDF5 Files with h5py, xarray, and Rasterio
Introduction HDF5 (.h5) files are widely used in scientific computing, particularly for storing large-scale datasets from remote sensing missions, climate models, and other geospatial applications. These files are self-describing, meaning they store both the data and metadata (e.g., spatial extent, resolution, units, etc.) in a hierarchical structure. However, working with HDF5 files can be challenging […]
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