Multiyear Automated Analysis of Auroral Images to Categorize Ionospheric Irregularity Layer

D. Stuart; D. L. Hampton; G. S. Bust; K. Deshpande; S. Datta-Barua

Multiyear Automated Analysis of Auroral Images to Categorize Ionospheric Irregularity Layer

D. Stuart, D. L. Hampton, G. S. Bust, K. Deshpande, S. Datta-Barua

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	AGU Fall Meeting Abstracts
Volume	2019
State	Published - Dec 1 2019

Disciplines

Geology
Geophysics and Seismology

Cite this

@article{535f9f8097554f61a2749c6161cd551b,

title = "Multiyear Automated Analysis of Auroral Images to Categorize Ionospheric Irregularity Layer",

author = "D. Stuart and Hampton, \{D. L.\} and Bust, \{G. S.\} and K. Deshpande and S. Datta-Barua",

note = "This work describes a method of automated analysis of auroral all-sky camera (ASC) images to determine the ionospheric layer of observed plasma irregularities. These irregularities can perturb radio signals in an effect called scintillation, degrading and at worst preventing signal reception.",

year = "2019",

month = dec,

day = "1",

language = "American English",

volume = "2019",

journal = "AGU Fall Meeting Abstracts",

}

TY - JOUR

T1 - Multiyear Automated Analysis of Auroral Images to Categorize Ionospheric Irregularity Layer

AU - Stuart, D.

AU - Hampton, D. L.

AU - Bust, G. S.

AU - Deshpande, K.

AU - Datta-Barua, S.

N1 - This work describes a method of automated analysis of auroral all-sky camera (ASC) images to determine the ionospheric layer of observed plasma irregularities. These irregularities can perturb radio signals in an effect called scintillation, degrading and at worst preventing signal reception.

PY - 2019/12/1

Y1 - 2019/12/1

UR - http://ui.adsabs.harvard.edu/abs/2019AGUFMSA52A..05S/abstract

M3 - Article

VL - 2019

JO - AGU Fall Meeting Abstracts

JF - AGU Fall Meeting Abstracts

ER -

Multiyear Automated Analysis of Auroral Images to Categorize Ionospheric Irregularity Layer

Disciplines

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