Antarctic Surface Ice Velocity Retrieval from MODIS-Based Mosaic of Antarctica (MOA)

The velocity of ice flow in the Antarctic is a crucial factor to determine ice discharge and thus future sea level rise. Feature tracking has been widely used in optical and radar imagery with fine resolution to retrieve flow parameters, although the primitive result may be contaminated by noise. In...

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Published in:Remote Sensing
Main Authors: Teng Li, Yan Liu, Tian Li, Fengming Hui, Zhuoqi Chen, Xiao Cheng
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2018
Subjects:
MOA
Moa
Online Access:https://doi.org/10.3390/rs10071045
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spelling ftmdpi:oai:mdpi.com:/2072-4292/10/7/1045/ 2023-08-20T04:01:58+02:00 Antarctic Surface Ice Velocity Retrieval from MODIS-Based Mosaic of Antarctica (MOA) Teng Li Yan Liu Tian Li Fengming Hui Zhuoqi Chen Xiao Cheng agris 2018-07-02 application/pdf https://doi.org/10.3390/rs10071045 EN eng Multidisciplinary Digital Publishing Institute Remote Sensing in Geology, Geomorphology and Hydrology https://dx.doi.org/10.3390/rs10071045 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 10; Issue 7; Pages: 1045 Antarctic ice velocity feature tracking COSI-Corr filter MOA Text 2018 ftmdpi https://doi.org/10.3390/rs10071045 2023-07-31T21:36:24Z The velocity of ice flow in the Antarctic is a crucial factor to determine ice discharge and thus future sea level rise. Feature tracking has been widely used in optical and radar imagery with fine resolution to retrieve flow parameters, although the primitive result may be contaminated by noise. In this paper, we present a series of modified post-processing steps, such as SNR thresholding by residual, complex Butterworth filters, and triple standard deviation truncation, to improve the performance of primitive results, and apply it to MODIS-based Mosaic of Antarctica (MOA) datasets. The final velocity field result displays the general flow pattern of the peripheral Antarctic. Seventy-eight out of 97 streamlines starting from seed points are smooth and continuous. The RMSE with 178 manually selected tie points is within 60 m·a−1. The systematic comparison with Making Earth System Data Records for Use in Research Environments (MEaSUREs) datasets in seven drainages shows that the results regarding high magnitude and large-scale ice shelf are highly reliable; absolute mean and median difference are less than 18 m·a−1, while the result of localized drainage suffered from too much tracking error. The relative differences from manually selected and random points are controlled within 8% when speed is beyond 500 m·a−1, but bias and uncertainty are pronounced when speed is lower than that. The result through our accuracy control strategy highlights that coarse remote-sensed images such as Moderate Resolution Imaging Spectrophotometer (MODIS) can still offer the capability for comprehensive and long-term continental ice sheet surface velocity mapping. Text Antarc* Antarctic Antarctica Ice Sheet Ice Shelf MDPI Open Access Publishing Antarctic The Antarctic Butterworth ENVELOPE(66.733,66.733,-70.700,-70.700) Moa ENVELOPE(157.950,157.950,-80.767,-80.767) Remote Sensing 10 7 1045
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic Antarctic
ice velocity
feature tracking
COSI-Corr
filter
MOA
spellingShingle Antarctic
ice velocity
feature tracking
COSI-Corr
filter
MOA
Teng Li
Yan Liu
Tian Li
Fengming Hui
Zhuoqi Chen
Xiao Cheng
Antarctic Surface Ice Velocity Retrieval from MODIS-Based Mosaic of Antarctica (MOA)
topic_facet Antarctic
ice velocity
feature tracking
COSI-Corr
filter
MOA
description The velocity of ice flow in the Antarctic is a crucial factor to determine ice discharge and thus future sea level rise. Feature tracking has been widely used in optical and radar imagery with fine resolution to retrieve flow parameters, although the primitive result may be contaminated by noise. In this paper, we present a series of modified post-processing steps, such as SNR thresholding by residual, complex Butterworth filters, and triple standard deviation truncation, to improve the performance of primitive results, and apply it to MODIS-based Mosaic of Antarctica (MOA) datasets. The final velocity field result displays the general flow pattern of the peripheral Antarctic. Seventy-eight out of 97 streamlines starting from seed points are smooth and continuous. The RMSE with 178 manually selected tie points is within 60 m·a−1. The systematic comparison with Making Earth System Data Records for Use in Research Environments (MEaSUREs) datasets in seven drainages shows that the results regarding high magnitude and large-scale ice shelf are highly reliable; absolute mean and median difference are less than 18 m·a−1, while the result of localized drainage suffered from too much tracking error. The relative differences from manually selected and random points are controlled within 8% when speed is beyond 500 m·a−1, but bias and uncertainty are pronounced when speed is lower than that. The result through our accuracy control strategy highlights that coarse remote-sensed images such as Moderate Resolution Imaging Spectrophotometer (MODIS) can still offer the capability for comprehensive and long-term continental ice sheet surface velocity mapping.
format Text
author Teng Li
Yan Liu
Tian Li
Fengming Hui
Zhuoqi Chen
Xiao Cheng
author_facet Teng Li
Yan Liu
Tian Li
Fengming Hui
Zhuoqi Chen
Xiao Cheng
author_sort Teng Li
title Antarctic Surface Ice Velocity Retrieval from MODIS-Based Mosaic of Antarctica (MOA)
title_short Antarctic Surface Ice Velocity Retrieval from MODIS-Based Mosaic of Antarctica (MOA)
title_full Antarctic Surface Ice Velocity Retrieval from MODIS-Based Mosaic of Antarctica (MOA)
title_fullStr Antarctic Surface Ice Velocity Retrieval from MODIS-Based Mosaic of Antarctica (MOA)
title_full_unstemmed Antarctic Surface Ice Velocity Retrieval from MODIS-Based Mosaic of Antarctica (MOA)
title_sort antarctic surface ice velocity retrieval from modis-based mosaic of antarctica (moa)
publisher Multidisciplinary Digital Publishing Institute
publishDate 2018
url https://doi.org/10.3390/rs10071045
op_coverage agris
long_lat ENVELOPE(66.733,66.733,-70.700,-70.700)
ENVELOPE(157.950,157.950,-80.767,-80.767)
geographic Antarctic
The Antarctic
Butterworth
Moa
geographic_facet Antarctic
The Antarctic
Butterworth
Moa
genre Antarc*
Antarctic
Antarctica
Ice Sheet
Ice Shelf
genre_facet Antarc*
Antarctic
Antarctica
Ice Sheet
Ice Shelf
op_source Remote Sensing; Volume 10; Issue 7; Pages: 1045
op_relation Remote Sensing in Geology, Geomorphology and Hydrology
https://dx.doi.org/10.3390/rs10071045
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/rs10071045
container_title Remote Sensing
container_volume 10
container_issue 7
container_start_page 1045
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