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Automated Identification of Auroral Luminosity Boundaries Using pyIntensityFeatures.

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Title: Automated Identification of Auroral Luminosity Boundaries Using pyIntensityFeatures.
Authors: Burrell, Angeline G.1 (AUTHOR) angeline.g.burrell.civ@us.navy.mil, Chisham, Gareth2 (AUTHOR), Longden, Nicola3 (AUTHOR), Fritz, Bruce1 (AUTHOR), Zawdie, Kate A.1 (AUTHOR)
Source: Journal of Geophysical Research. Space Physics. Sep2025, Vol. 130 Issue 9, p1-10. 10p.
Subject Terms: Auroras, Automatic identification, Ionospheric disturbances, Edge detection (Image processing), Python programming language, Remote-sensing images
Abstract: Imagers that observe optical or ultraviolet emissions from the atmosphere are commonly used to identify and study ionospheric phenomena. These phenomena include the auroral oval, equatorial plasma bubbles, and traveling ionospheric disturbances. One difficulty with using imager observations is accurately and automatically retrieving locations of interest from these images. This article presents an automated method designed to identify auroral luminosity boundaries from space‐based imager data. This method was originally developed for the Imager for Magnetopause‐to‐Aurora Global Exploration (IMAGE) observations, but has been further adapted for use with a wider range of observations. This article discusses the updated boundary detection method, and demonstrates the process on two different satellite data sets. The updated detection method has been made publicly accessible through a new Python package, pyIntensityFeatures. Plain Language Summary: This article presents pyIntensityFeatures, a new Python package designed to identify the edges of the aurora (commonly referred to as the northern or southern lights) in images taken from a satellite. This new package builds on previous methods that were designed to find the edges of aurora when the images taken contained the entire auroral oval in one hemisphere. It has now been improved for more situations and applied to two different data sets. Key Points: Created a new Python tool for identifying auroral luminosity boundariespyIntensityFeatures is capable of handling incomplete auroral images and complex structuresDemonstrated the identification of auroral luminosity boundaries on two different satellite imagers [ABSTRACT FROM AUTHOR]
Copyright of Journal of Geophysical Research. Space Physics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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Header DbId: 8gh
DbLabel: GreenFILE
An: 188295003
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Label: Title
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  Data: Automated Identification of Auroral Luminosity Boundaries Using pyIntensityFeatures.
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  Data: <searchLink fieldCode="AR" term="%22Burrell%2C+Angeline+G%2E%22">Burrell, Angeline G.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> angeline.g.burrell.civ@us.navy.mil</i><br /><searchLink fieldCode="AR" term="%22Chisham%2C+Gareth%22">Chisham, Gareth</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Longden%2C+Nicola%22">Longden, Nicola</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fritz%2C+Bruce%22">Fritz, Bruce</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zawdie%2C+Kate+A%2E%22">Zawdie, Kate A.</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Geophysical+Research%2E+Space+Physics%22">Journal of Geophysical Research. Space Physics</searchLink>. Sep2025, Vol. 130 Issue 9, p1-10. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Auroras%22">Auroras</searchLink><br /><searchLink fieldCode="DE" term="%22Automatic+identification%22">Automatic identification</searchLink><br /><searchLink fieldCode="DE" term="%22Ionospheric+disturbances%22">Ionospheric disturbances</searchLink><br /><searchLink fieldCode="DE" term="%22Edge+detection+%28Image+processing%29%22">Edge detection (Image processing)</searchLink><br /><searchLink fieldCode="DE" term="%22Python+programming+language%22">Python programming language</searchLink><br /><searchLink fieldCode="DE" term="%22Remote-sensing+images%22">Remote-sensing images</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Imagers that observe optical or ultraviolet emissions from the atmosphere are commonly used to identify and study ionospheric phenomena. These phenomena include the auroral oval, equatorial plasma bubbles, and traveling ionospheric disturbances. One difficulty with using imager observations is accurately and automatically retrieving locations of interest from these images. This article presents an automated method designed to identify auroral luminosity boundaries from space‐based imager data. This method was originally developed for the Imager for Magnetopause‐to‐Aurora Global Exploration (IMAGE) observations, but has been further adapted for use with a wider range of observations. This article discusses the updated boundary detection method, and demonstrates the process on two different satellite data sets. The updated detection method has been made publicly accessible through a new Python package, pyIntensityFeatures. Plain Language Summary: This article presents pyIntensityFeatures, a new Python package designed to identify the edges of the aurora (commonly referred to as the northern or southern lights) in images taken from a satellite. This new package builds on previous methods that were designed to find the edges of aurora when the images taken contained the entire auroral oval in one hemisphere. It has now been improved for more situations and applied to two different data sets. Key Points: Created a new Python tool for identifying auroral luminosity boundariespyIntensityFeatures is capable of handling incomplete auroral images and complex structuresDemonstrated the identification of auroral luminosity boundaries on two different satellite imagers [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Geophysical Research. Space Physics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.1029/2025JA034230
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      – Code: eng
        Text: English
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        PageCount: 10
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      – SubjectFull: Auroras
        Type: general
      – SubjectFull: Automatic identification
        Type: general
      – SubjectFull: Ionospheric disturbances
        Type: general
      – SubjectFull: Edge detection (Image processing)
        Type: general
      – SubjectFull: Python programming language
        Type: general
      – SubjectFull: Remote-sensing images
        Type: general
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      – TitleFull: Automated Identification of Auroral Luminosity Boundaries Using pyIntensityFeatures.
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            NameFull: Burrell, Angeline G.
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            NameFull: Chisham, Gareth
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            NameFull: Longden, Nicola
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            NameFull: Fritz, Bruce
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            – D: 01
              M: 09
              Text: Sep2025
              Type: published
              Y: 2025
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            – TitleFull: Journal of Geophysical Research. Space Physics
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