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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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 |
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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 |
_version_ |
1766101649867145216 |