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  • Satellite Crop Type Mapping

    Natalie Ayers, with contributing authors Shruti Jain and the Atlas AI team

    This tutorial provides guidance on creating a machine learning model to identify crop types from satellite imagery and other earth observation data. It follows a process refined...
  • Detecting Urban Markets With Satellite Imagery: An Application To India

    Kathryn Baragwanath Vogel, Ran Goldblatt, Gordon H. Hanson, Amit K. Khandelwal

    We propose a methodology for defining urban markets based on built-up land-cover classified from daytime satellite imagery. Compared to markets defined using minimum thresholds...
  • Deep Learning Classification of Land Cover and Crop Types Using Remote Sensin...

    Nataliia Kussul, Mykola Lavreniuk, Sergii Skakun, and Andrii Shelestov

    Deep learning (DL) is a powerful state-of-the-art technique for image processing including remote sensing (RS) images. This letter describes a multilevel DL architecture that...
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