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Showing 1 to 3 of 3 for “"NVIS"”.

  1. Deep learning convolutional neural networks for Landsat-derived land cover mapping

    … and National Vegetation Information System (NVIS) from DCCEEW. CNN models were built using input annual Landsat 8 geomedian data for 2018 from Geoscience Australia to produce land cover maps for a study area in SE Australia, and compared to leading alternative machine learning techniques such …

    aus-cath Repository record for Deep learning convolutional neural networks for Landsat-derived land cover mapping (opens in a new tab)

  2. Deep learning convolutional neural networks for Landsat-derived land cover mapping

    … and National Vegetation Information System (NVIS) from DCCEEW. CNN models were built using input annual Landsat 8 geomedian data for 2018 from Geoscience Australia to produce land cover maps for a study area in SE Australia, and compared to leading alternative machine learning techniques such …

    anu Repository record for Deep learning convolutional neural networks for Landsat-derived land cover mapping (opens in a new tab)

  3. A Standalone High Frequency Receiver System

    The High Frequency Receiver System (HFRS) is a mobile, autonomous, Linux-based RF recording system that is designed to pick up ionosonde sounding signals from 1—10 MHz. Systems are designed for quick deployment and capable of remaining deployed in the field for up to a month. The design motivation …

    unm Repository record for A Standalone High Frequency Receiver System (opens in a new tab)