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Deep Learning for Geospatial Data

Deep learning or Machine learning has become a popular approach for analyzing geospatial data due to its ability to learn complex representations from large datasets. Geospatial data includes any data that has a spatial component, such as satellite imagery, aerial photographs, and GPS data. Here are some examples of how deep learning can be applied to geospatial data: