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Showing 1 to 4 of 4 for “"GOES-16"”.

  1. Integrating Multi-Source Weather Data for Deep Learning

    … NEXRAD [3] Doppler radar reflectivity, GOES-16 [4] multi-channel satellite imagery and NCEI [1] storm events. Then, it integrates and refines data in proper formats to be fed to the open-source Detectron [5] Deep learning software package from Facebook. The integration process involves …

    cuny Repository record for Integrating Multi-Source Weather Data for Deep Learning (opens in a new tab)

  2. Satellite-based Analysis and Forecast Evaluation of Aviation Contrails

    … forecasts. Contrails are found in geostationary GOES-16 ABI imagery 2by use of a convolutional neural network. Once found, their altitude is estimated using this same imagery by another deep learning algorithm that was trained on contrails collocated in data from the satellite-based CALIOP LIDAR. …

    mit Repository record for Satellite-based Analysis and Forecast Evaluation of Aviation Contrails (opens in a new tab)

  3. GOES-R Supervised Machine Learning

    <p>The GOES-R series is a product line of four satellite, with two currently on-orbit (GOES-16 “East” and GOES-17 “West”). GOES-17 is susceptible to a Loop-Heat-Pipe (LHP) phenomenon where during Fall and Spring seasons, there are times of day where some of the infrared bands records inaccurate …

    cuny Repository record for GOES-R Supervised Machine Learning (opens in a new tab)