Automatic Detection of Subglacial Water Bodies in the AGAP Region, East Antarctica, Based on Short-Time Fourier Transform

Subglacial water bodies are critical components in analyzing the instability of the Antarctic ice sheet. Their detection and identification normally rely on geophysical and remote sensing methods such as airborne radar echo sounding (RES), ground seismic, and satellite/airborne altimetry and gravity...

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Published in:Remote Sensing
Main Authors: Tong Hao, Liwen Jing, Jiashu Liu, Dailiang Wang, Tiantian Feng, Aiguo Zhao, Rongxing Li
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2023
Subjects:
Q
Online Access:https://doi.org/10.3390/rs15020363
https://doaj.org/article/c36d4eb098d940a9a5471a30bae73c49
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spelling ftdoajarticles:oai:doaj.org/article:c36d4eb098d940a9a5471a30bae73c49 2023-05-15T13:38:07+02:00 Automatic Detection of Subglacial Water Bodies in the AGAP Region, East Antarctica, Based on Short-Time Fourier Transform Tong Hao Liwen Jing Jiashu Liu Dailiang Wang Tiantian Feng Aiguo Zhao Rongxing Li 2023-01-01T00:00:00Z https://doi.org/10.3390/rs15020363 https://doaj.org/article/c36d4eb098d940a9a5471a30bae73c49 EN eng MDPI AG https://www.mdpi.com/2072-4292/15/2/363 https://doaj.org/toc/2072-4292 doi:10.3390/rs15020363 2072-4292 https://doaj.org/article/c36d4eb098d940a9a5471a30bae73c49 Remote Sensing, Vol 15, Iss 363, p 363 (2023) Antarctica subglacial water body airborne radar echo sounding short-time Fourier transform Science Q article 2023 ftdoajarticles https://doi.org/10.3390/rs15020363 2023-01-22T01:26:20Z Subglacial water bodies are critical components in analyzing the instability of the Antarctic ice sheet. Their detection and identification normally rely on geophysical and remote sensing methods such as airborne radar echo sounding (RES), ground seismic, and satellite/airborne altimetry and gravity surveys. In particular, RES surveys are able to detect basal terrain with a relatively high accuracy that can assist with the mapping of subglacial hydrology systems. Traditional RES processing methods for the identification of subglacial water bodies mostly rely on their brightness in radargrams and hydraulic flatness. In this study, we propose an automatic method with the main objective to differentiate the basal materials by quantitatively evaluating the shape of the A-scope waveform near the basal interface in RES radargrams, which has been seldom investigated. We develop an automatic algorithm mainly based on the traditional short-time Fourier transform (STFT) to quantify the shape of the A-scope waveform in radargrams. Specifically, with an appropriate window width applied on the main peak of each A-scope waveform in the RES radargram, STFT shows distinct and contrasting frequency responses at the ice-water interface and ice-rock interface, which is largely dependent upon their different reflection characteristics at the basal interface. We apply this method on 882 RES radargrams collected in the Antarctic’s Gamburtsev Province (AGAP) in East Antarctica. There are 8822 identified A-scopes with the calculated detection value larger than the set threshold, out of the overall 1,515,065 valid A-scopes in these 882 RES radargrams. Although these identified A-scopes only takes 0.58% of the overall A-scope population, they show exceptionally continuous distribution to represent the subglacial water bodies. Through a comprehensive comparison with existing inventories of subglacial lakes, we successfully verify the validity and advantages of our method in identifying subglacial water bodies using the detection ... Article in Journal/Newspaper Antarc* Antarctic Antarctica East Antarctica Ice Sheet Directory of Open Access Journals: DOAJ Articles Antarctic The Antarctic East Antarctica Remote Sensing 15 2 363
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Antarctica
subglacial water body
airborne radar echo sounding
short-time Fourier transform
Science
Q
spellingShingle Antarctica
subglacial water body
airborne radar echo sounding
short-time Fourier transform
Science
Q
Tong Hao
Liwen Jing
Jiashu Liu
Dailiang Wang
Tiantian Feng
Aiguo Zhao
Rongxing Li
Automatic Detection of Subglacial Water Bodies in the AGAP Region, East Antarctica, Based on Short-Time Fourier Transform
topic_facet Antarctica
subglacial water body
airborne radar echo sounding
short-time Fourier transform
Science
Q
description Subglacial water bodies are critical components in analyzing the instability of the Antarctic ice sheet. Their detection and identification normally rely on geophysical and remote sensing methods such as airborne radar echo sounding (RES), ground seismic, and satellite/airborne altimetry and gravity surveys. In particular, RES surveys are able to detect basal terrain with a relatively high accuracy that can assist with the mapping of subglacial hydrology systems. Traditional RES processing methods for the identification of subglacial water bodies mostly rely on their brightness in radargrams and hydraulic flatness. In this study, we propose an automatic method with the main objective to differentiate the basal materials by quantitatively evaluating the shape of the A-scope waveform near the basal interface in RES radargrams, which has been seldom investigated. We develop an automatic algorithm mainly based on the traditional short-time Fourier transform (STFT) to quantify the shape of the A-scope waveform in radargrams. Specifically, with an appropriate window width applied on the main peak of each A-scope waveform in the RES radargram, STFT shows distinct and contrasting frequency responses at the ice-water interface and ice-rock interface, which is largely dependent upon their different reflection characteristics at the basal interface. We apply this method on 882 RES radargrams collected in the Antarctic’s Gamburtsev Province (AGAP) in East Antarctica. There are 8822 identified A-scopes with the calculated detection value larger than the set threshold, out of the overall 1,515,065 valid A-scopes in these 882 RES radargrams. Although these identified A-scopes only takes 0.58% of the overall A-scope population, they show exceptionally continuous distribution to represent the subglacial water bodies. Through a comprehensive comparison with existing inventories of subglacial lakes, we successfully verify the validity and advantages of our method in identifying subglacial water bodies using the detection ...
format Article in Journal/Newspaper
author Tong Hao
Liwen Jing
Jiashu Liu
Dailiang Wang
Tiantian Feng
Aiguo Zhao
Rongxing Li
author_facet Tong Hao
Liwen Jing
Jiashu Liu
Dailiang Wang
Tiantian Feng
Aiguo Zhao
Rongxing Li
author_sort Tong Hao
title Automatic Detection of Subglacial Water Bodies in the AGAP Region, East Antarctica, Based on Short-Time Fourier Transform
title_short Automatic Detection of Subglacial Water Bodies in the AGAP Region, East Antarctica, Based on Short-Time Fourier Transform
title_full Automatic Detection of Subglacial Water Bodies in the AGAP Region, East Antarctica, Based on Short-Time Fourier Transform
title_fullStr Automatic Detection of Subglacial Water Bodies in the AGAP Region, East Antarctica, Based on Short-Time Fourier Transform
title_full_unstemmed Automatic Detection of Subglacial Water Bodies in the AGAP Region, East Antarctica, Based on Short-Time Fourier Transform
title_sort automatic detection of subglacial water bodies in the agap region, east antarctica, based on short-time fourier transform
publisher MDPI AG
publishDate 2023
url https://doi.org/10.3390/rs15020363
https://doaj.org/article/c36d4eb098d940a9a5471a30bae73c49
geographic Antarctic
The Antarctic
East Antarctica
geographic_facet Antarctic
The Antarctic
East Antarctica
genre Antarc*
Antarctic
Antarctica
East Antarctica
Ice Sheet
genre_facet Antarc*
Antarctic
Antarctica
East Antarctica
Ice Sheet
op_source Remote Sensing, Vol 15, Iss 363, p 363 (2023)
op_relation https://www.mdpi.com/2072-4292/15/2/363
https://doaj.org/toc/2072-4292
doi:10.3390/rs15020363
2072-4292
https://doaj.org/article/c36d4eb098d940a9a5471a30bae73c49
op_doi https://doi.org/10.3390/rs15020363
container_title Remote Sensing
container_volume 15
container_issue 2
container_start_page 363
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