Investigation of Polar Mesospheric Summer Echoes Using Linear Discriminant Analysis

Polar Mesospheric Summer Echoes (PMSE) are distinct radar echoes from the Earth’s upper atmosphere between 80 to 90 km altitude that form in layers typically extending only a few km in altitude and often with a wavy structure. The structure is linked to the formation process, which at present is not...

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Published in:Remote Sensing
Main Authors: Jozwicki, Dorota, Sharma, Puneet, Mann, Ingrid
Format: Article in Journal/Newspaper
Language:English
Published: MDPI 2021
Subjects:
Online Access:https://hdl.handle.net/10037/21701
https://doi.org/10.3390/rs13030522
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author Jozwicki, Dorota
Sharma, Puneet
Mann, Ingrid
author_facet Jozwicki, Dorota
Sharma, Puneet
Mann, Ingrid
author_sort Jozwicki, Dorota
collection University of Tromsø: Munin Open Research Archive
container_issue 3
container_start_page 522
container_title Remote Sensing
container_volume 13
description Polar Mesospheric Summer Echoes (PMSE) are distinct radar echoes from the Earth’s upper atmosphere between 80 to 90 km altitude that form in layers typically extending only a few km in altitude and often with a wavy structure. The structure is linked to the formation process, which at present is not yet fully understood. Image analysis of PMSE data can help carry out systematic studies to characterize PMSE during different ionospheric and atmospheric conditions. In this paper, we analyze PMSE observations recorded using the European Incoherent SCATter (EISCAT) Very High Frequency (VHF) radar. The collected data comprises of 18 observations from different days. In our analysis, the image data is divided into regions of a fixed size and grouped into three categories: PMSE, ionosphere, and noise. We use statistical features from the image regions and employ Linear Discriminant Analysis (LDA) for classification. Our results suggest that PMSE regions can be distinguished from ionosphere and noise with around 98 percent accuracy.
format Article in Journal/Newspaper
genre EISCAT
genre_facet EISCAT
id ftunivtroemsoe:oai:munin.uit.no:10037/21701
institution Open Polar
language English
op_collection_id ftunivtroemsoe
op_doi https://doi.org/10.3390/rs13030522
op_relation Jozwicki, D.S. (2025). Investigation of Multilayers in Polar Mesospheric Summer Echoes. (Doctoral thesis). https://hdl.handle.net/10037/36423 .
Remote Sensing
Norges forskningsråd: 275503
info:eu-repo/grantAgreement/RCN/FRINATEK/275503/Norway/Mesospheric Dust in the Small Size Limit: Radar Studies, Model Calculations and Supporting Observations//
Jozwicki, Sharma, Mann. Investigation of Polar Mesospheric Summer Echoes Using Linear Discriminant Analysis. Remote Sensing. 2021
FRIDAID 1894197
doi:10.3390/rs13030522
https://hdl.handle.net/10037/21701
op_rights openAccess
Copyright 2021 The Author(s)
publishDate 2021
publisher MDPI
record_format openpolar
spelling ftunivtroemsoe:oai:munin.uit.no:10037/21701 2025-04-13T14:18:07+00:00 Investigation of Polar Mesospheric Summer Echoes Using Linear Discriminant Analysis Jozwicki, Dorota Sharma, Puneet Mann, Ingrid 2021-02-02 https://hdl.handle.net/10037/21701 https://doi.org/10.3390/rs13030522 eng eng MDPI Jozwicki, D.S. (2025). Investigation of Multilayers in Polar Mesospheric Summer Echoes. (Doctoral thesis). https://hdl.handle.net/10037/36423 . Remote Sensing Norges forskningsråd: 275503 info:eu-repo/grantAgreement/RCN/FRINATEK/275503/Norway/Mesospheric Dust in the Small Size Limit: Radar Studies, Model Calculations and Supporting Observations// Jozwicki, Sharma, Mann. Investigation of Polar Mesospheric Summer Echoes Using Linear Discriminant Analysis. Remote Sensing. 2021 FRIDAID 1894197 doi:10.3390/rs13030522 https://hdl.handle.net/10037/21701 openAccess Copyright 2021 The Author(s) VDP::Mathematics and natural science: 400::Physics: 430 VDP::Matematikk og Naturvitenskap: 400::Fysikk: 430 Journal article Tidsskriftartikkel Peer reviewed publishedVersion 2021 ftunivtroemsoe https://doi.org/10.3390/rs13030522 2025-03-14T05:17:56Z Polar Mesospheric Summer Echoes (PMSE) are distinct radar echoes from the Earth’s upper atmosphere between 80 to 90 km altitude that form in layers typically extending only a few km in altitude and often with a wavy structure. The structure is linked to the formation process, which at present is not yet fully understood. Image analysis of PMSE data can help carry out systematic studies to characterize PMSE during different ionospheric and atmospheric conditions. In this paper, we analyze PMSE observations recorded using the European Incoherent SCATter (EISCAT) Very High Frequency (VHF) radar. The collected data comprises of 18 observations from different days. In our analysis, the image data is divided into regions of a fixed size and grouped into three categories: PMSE, ionosphere, and noise. We use statistical features from the image regions and employ Linear Discriminant Analysis (LDA) for classification. Our results suggest that PMSE regions can be distinguished from ionosphere and noise with around 98 percent accuracy. Article in Journal/Newspaper EISCAT University of Tromsø: Munin Open Research Archive Remote Sensing 13 3 522
spellingShingle VDP::Mathematics and natural science: 400::Physics: 430
VDP::Matematikk og Naturvitenskap: 400::Fysikk: 430
Jozwicki, Dorota
Sharma, Puneet
Mann, Ingrid
Investigation of Polar Mesospheric Summer Echoes Using Linear Discriminant Analysis
title Investigation of Polar Mesospheric Summer Echoes Using Linear Discriminant Analysis
title_full Investigation of Polar Mesospheric Summer Echoes Using Linear Discriminant Analysis
title_fullStr Investigation of Polar Mesospheric Summer Echoes Using Linear Discriminant Analysis
title_full_unstemmed Investigation of Polar Mesospheric Summer Echoes Using Linear Discriminant Analysis
title_short Investigation of Polar Mesospheric Summer Echoes Using Linear Discriminant Analysis
title_sort investigation of polar mesospheric summer echoes using linear discriminant analysis
topic VDP::Mathematics and natural science: 400::Physics: 430
VDP::Matematikk og Naturvitenskap: 400::Fysikk: 430
topic_facet VDP::Mathematics and natural science: 400::Physics: 430
VDP::Matematikk og Naturvitenskap: 400::Fysikk: 430
url https://hdl.handle.net/10037/21701
https://doi.org/10.3390/rs13030522