Asset Details

  • Description:
  • A Machine‐Learning Approach to Classify Cloud‐to‐Ground and Intracloud LightningZhu et al. - Geophysical Research LettersGeophys Res Lett vol. 48, 16 January 2021
  • License:
  • Rights Managed
  • Rights Holder:
  • John Wiley & Sons, Inc.
  • License Rights Holder:
  • © 2020. American Geophysical Union. All Rights Reserved.
  • Asset Type:
  • Text
  • Asset Subtype:
  • Article
  • Image Orientation:
  • Portrait
  • Image Dimensions:
  • 1275 x 1650
  • Image File Size:
  • 292 KB
  • Creator:
  • Yanan Zhu, Phillip Bitzer, Vladimir Rakov, Ziqin Ding
  • Credit:
  • Zhu, Y., Bitzer, P., Rakov, V., & Ding, Z. (2021). A Machine‐Learning Approach to Classify Cloud‐to‐Ground and Intracloud Lightning. Geophysical Research Letters, 48(1), n/a. https://doi.org/10.1029/2020GL091148.
  • Collection:
  • Keywords:
  • Restrictions:
  • Property Release:
  • No
  • Model Release:
  • No
  • Purchasable:
  • Yes
  • Sensitive Materials:
  • No
  • Article Authors:
  • Yanan Zhu, Phillip Bitzer, Vladimir Rakov, Ziqin Ding
  • Article Copyright Year:
  • 2021
  • Publication Volume:
  • 48
  • Publication Issue:
  • 1
  • Publication Date:
  • 01/16/2021
  • DOI:
  • https://doi.org/10.1029/2020GL091148

Click on image to preview article

Would you like to download this asset? Tell us more and we can generate a quote, license and downloadable file.

Article Preview