This Reprint, based on the Special Issue "Feature Papers for Land Innovations-Data and Machine Learning: 2nd Edition", makes valuable contributions relating to spatial data science for obtaining, processing, analyzing, harnessing, and visualizing social, economic, environmental, and other land-related data. In particular, this Reprint presents geospatial artificial intelligence and machine learning techniques for dealing with spatial big data, including remotely sensed and social media data. The publications included are theoretical, applied, or review articles; interdisciplinary studies are also featured.
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