A Combined Approach for Filtering Ice Surface Velocity Fields Derived from Remote Sensing Methods
Various glaciological topics require observations of horizontal velocities over vast areas, e.g., detecting acceleration of glaciers, as well as for estimating basal parameters of ice sheets using inverse modelling approaches. The quality of the velocity is of high importance; hence, methods to remo...
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MDPI AG
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ftawi:oai:epic.awi.de:45710 2023-05-15T13:45:21+02:00 A Combined Approach for Filtering Ice Surface Velocity Fields Derived from Remote Sensing Methods Lüttig, Christine Neckel, Niklas Humbert, Angelika 2017-10-18 application/pdf https://epic.awi.de/id/eprint/45710/ https://epic.awi.de/id/eprint/45710/1/remotesensing-09-01062.pdf https://doi.org/10.3390/rs9101062 https://hdl.handle.net/10013/epic.51821 https://hdl.handle.net/10013/epic.51821.d001 unknown MDPI AG https://epic.awi.de/id/eprint/45710/1/remotesensing-09-01062.pdf https://hdl.handle.net/10013/epic.51821.d001 Lüttig, C. orcid:0000-0003-0018-8472 , Neckel, N. orcid:0000-0003-4300-5488 and Humbert, A. (2017) A Combined Approach for Filtering Ice Surface Velocity Fields Derived from Remote Sensing Methods , Remote Sensing, 9 (10), p. 1062 . doi:10.3390/rs9101062 <https://doi.org/10.3390/rs9101062> , hdl:10013/epic.51821 EPIC3Remote Sensing, MDPI AG, 9(10), pp. 1062, ISSN: 2072-4292 Article isiRev 2017 ftawi https://doi.org/10.3390/rs9101062 2021-12-24T15:43:23Z Various glaciological topics require observations of horizontal velocities over vast areas, e.g., detecting acceleration of glaciers, as well as for estimating basal parameters of ice sheets using inverse modelling approaches. The quality of the velocity is of high importance; hence, methods to remove noisy points in remote sensing derived data are required. We present a three-step filtering process and assess its performance for velocity fields in Greenland and Antarctica. The filtering uses the detection of smooth segments, removal of outliers using the median and constraints on the variability of the flow direction over short distances. The applied filter preserves the structures in the velocity fields well (e.g., shear margins) and removes noisy data points successfully, while keeping 72–96% of the data. In slow flowing regions, which are particularly challenging, the standard deviation is reduced by up to 96%, an improvement that affects vast areas of the ice sheets. Article in Journal/Newspaper Antarc* Antarctica Greenland Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Greenland Remote Sensing 9 10 1062 |
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Open Polar |
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Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
op_collection_id |
ftawi |
language |
unknown |
description |
Various glaciological topics require observations of horizontal velocities over vast areas, e.g., detecting acceleration of glaciers, as well as for estimating basal parameters of ice sheets using inverse modelling approaches. The quality of the velocity is of high importance; hence, methods to remove noisy points in remote sensing derived data are required. We present a three-step filtering process and assess its performance for velocity fields in Greenland and Antarctica. The filtering uses the detection of smooth segments, removal of outliers using the median and constraints on the variability of the flow direction over short distances. The applied filter preserves the structures in the velocity fields well (e.g., shear margins) and removes noisy data points successfully, while keeping 72–96% of the data. In slow flowing regions, which are particularly challenging, the standard deviation is reduced by up to 96%, an improvement that affects vast areas of the ice sheets. |
format |
Article in Journal/Newspaper |
author |
Lüttig, Christine Neckel, Niklas Humbert, Angelika |
spellingShingle |
Lüttig, Christine Neckel, Niklas Humbert, Angelika A Combined Approach for Filtering Ice Surface Velocity Fields Derived from Remote Sensing Methods |
author_facet |
Lüttig, Christine Neckel, Niklas Humbert, Angelika |
author_sort |
Lüttig, Christine |
title |
A Combined Approach for Filtering Ice Surface Velocity Fields Derived from Remote Sensing Methods |
title_short |
A Combined Approach for Filtering Ice Surface Velocity Fields Derived from Remote Sensing Methods |
title_full |
A Combined Approach for Filtering Ice Surface Velocity Fields Derived from Remote Sensing Methods |
title_fullStr |
A Combined Approach for Filtering Ice Surface Velocity Fields Derived from Remote Sensing Methods |
title_full_unstemmed |
A Combined Approach for Filtering Ice Surface Velocity Fields Derived from Remote Sensing Methods |
title_sort |
combined approach for filtering ice surface velocity fields derived from remote sensing methods |
publisher |
MDPI AG |
publishDate |
2017 |
url |
https://epic.awi.de/id/eprint/45710/ https://epic.awi.de/id/eprint/45710/1/remotesensing-09-01062.pdf https://doi.org/10.3390/rs9101062 https://hdl.handle.net/10013/epic.51821 https://hdl.handle.net/10013/epic.51821.d001 |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Antarc* Antarctica Greenland |
genre_facet |
Antarc* Antarctica Greenland |
op_source |
EPIC3Remote Sensing, MDPI AG, 9(10), pp. 1062, ISSN: 2072-4292 |
op_relation |
https://epic.awi.de/id/eprint/45710/1/remotesensing-09-01062.pdf https://hdl.handle.net/10013/epic.51821.d001 Lüttig, C. orcid:0000-0003-0018-8472 , Neckel, N. orcid:0000-0003-4300-5488 and Humbert, A. (2017) A Combined Approach for Filtering Ice Surface Velocity Fields Derived from Remote Sensing Methods , Remote Sensing, 9 (10), p. 1062 . doi:10.3390/rs9101062 <https://doi.org/10.3390/rs9101062> , hdl:10013/epic.51821 |
op_doi |
https://doi.org/10.3390/rs9101062 |
container_title |
Remote Sensing |
container_volume |
9 |
container_issue |
10 |
container_start_page |
1062 |
_version_ |
1766220991616253952 |