Automatic delineation of debris-covered glaciers using InSAR coherence derived from X-, C- and L-band radar data: A case study of Yazgyl Glacier
Despite their importance for mass-balance estimates and the progress in techniques based on optical and thermal satellite imagery, the mapping of debris-covered glacier boundaries remains a challenging task. Manual corrections hamper regular updates. In this study, we present an automatic approach t...
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Language: | English |
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Online Access: | https://orbit.dtu.dk/en/publications/356eeb4c-7397-463c-94cc-2e66c4e31d37 https://doi.org/10.1017/jog.2018.70 https://backend.orbit.dtu.dk/ws/files/160483257/automatic_delineation_of_debriscovered_glaciers_using_insar_coherence_derived_from_x_c_and_lband_radar_data_a_case_study_of_yazgyl_glacier.pdf |
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ftdtupubl:oai:pure.atira.dk:publications/356eeb4c-7397-463c-94cc-2e66c4e31d37 2024-09-15T18:15:42+00:00 Automatic delineation of debris-covered glaciers using InSAR coherence derived from X-, C- and L-band radar data: A case study of Yazgyl Glacier Lippl, Stefan Vijay, Saurabh Braun, Matthias 2018 application/pdf https://orbit.dtu.dk/en/publications/356eeb4c-7397-463c-94cc-2e66c4e31d37 https://doi.org/10.1017/jog.2018.70 https://backend.orbit.dtu.dk/ws/files/160483257/automatic_delineation_of_debriscovered_glaciers_using_insar_coherence_derived_from_x_c_and_lband_radar_data_a_case_study_of_yazgyl_glacier.pdf eng eng https://orbit.dtu.dk/en/publications/356eeb4c-7397-463c-94cc-2e66c4e31d37 info:eu-repo/semantics/openAccess Lippl , S , Vijay , S & Braun , M 2018 , ' Automatic delineation of debris-covered glaciers using InSAR coherence derived from X-, C- and L-band radar data: A case study of Yazgyl Glacier ' , Journal of Glaciology , vol. 64 , no. 247 , pp. 811-821 . https://doi.org/10.1017/jog.2018.70 Debris-covered glaciers Glacier delineation Glacier mapping Glacier monitoring Remote sensing article 2018 ftdtupubl https://doi.org/10.1017/jog.2018.70 2024-07-01T23:52:53Z Despite their importance for mass-balance estimates and the progress in techniques based on optical and thermal satellite imagery, the mapping of debris-covered glacier boundaries remains a challenging task. Manual corrections hamper regular updates. In this study, we present an automatic approach to delineate glacier outlines using interferometrically derived synthetic aperture radar (InSAR) coherence, slope and morphological operations. InSAR coherence detects the temporally decorrelated surface (e.g. glacial extent) irrespective of its surface type and separates it from the highly coherent surrounding areas. We tested the impact of different processing settings, for example resolution, coherence window size and topographic phase removal, on the quality of the generated outlines. We found minor influence of the topographic phase, but a combination of strong multi-looking during interferogram generation and additional averaging during coherence estimation strongly deteriorated the coherence at the glacier edges. We analysed the performance of X-, C- and L- band radar data. The C-band Sentinel-1 data outlined the glacier boundary with the least misclassifications and a type II error of 0.47% compared with Global Land Ice Measurements from Space inventory data. Our study shows the potential of the Sentinel-1 mission together with our automatic processing chain to provide regular updates for land-terminating glaciers on a large scale. Article in Journal/Newspaper Journal of Glaciology Technical University of Denmark: DTU Orbit Journal of Glaciology 64 247 811 821 |
institution |
Open Polar |
collection |
Technical University of Denmark: DTU Orbit |
op_collection_id |
ftdtupubl |
language |
English |
topic |
Debris-covered glaciers Glacier delineation Glacier mapping Glacier monitoring Remote sensing |
spellingShingle |
Debris-covered glaciers Glacier delineation Glacier mapping Glacier monitoring Remote sensing Lippl, Stefan Vijay, Saurabh Braun, Matthias Automatic delineation of debris-covered glaciers using InSAR coherence derived from X-, C- and L-band radar data: A case study of Yazgyl Glacier |
topic_facet |
Debris-covered glaciers Glacier delineation Glacier mapping Glacier monitoring Remote sensing |
description |
Despite their importance for mass-balance estimates and the progress in techniques based on optical and thermal satellite imagery, the mapping of debris-covered glacier boundaries remains a challenging task. Manual corrections hamper regular updates. In this study, we present an automatic approach to delineate glacier outlines using interferometrically derived synthetic aperture radar (InSAR) coherence, slope and morphological operations. InSAR coherence detects the temporally decorrelated surface (e.g. glacial extent) irrespective of its surface type and separates it from the highly coherent surrounding areas. We tested the impact of different processing settings, for example resolution, coherence window size and topographic phase removal, on the quality of the generated outlines. We found minor influence of the topographic phase, but a combination of strong multi-looking during interferogram generation and additional averaging during coherence estimation strongly deteriorated the coherence at the glacier edges. We analysed the performance of X-, C- and L- band radar data. The C-band Sentinel-1 data outlined the glacier boundary with the least misclassifications and a type II error of 0.47% compared with Global Land Ice Measurements from Space inventory data. Our study shows the potential of the Sentinel-1 mission together with our automatic processing chain to provide regular updates for land-terminating glaciers on a large scale. |
format |
Article in Journal/Newspaper |
author |
Lippl, Stefan Vijay, Saurabh Braun, Matthias |
author_facet |
Lippl, Stefan Vijay, Saurabh Braun, Matthias |
author_sort |
Lippl, Stefan |
title |
Automatic delineation of debris-covered glaciers using InSAR coherence derived from X-, C- and L-band radar data: A case study of Yazgyl Glacier |
title_short |
Automatic delineation of debris-covered glaciers using InSAR coherence derived from X-, C- and L-band radar data: A case study of Yazgyl Glacier |
title_full |
Automatic delineation of debris-covered glaciers using InSAR coherence derived from X-, C- and L-band radar data: A case study of Yazgyl Glacier |
title_fullStr |
Automatic delineation of debris-covered glaciers using InSAR coherence derived from X-, C- and L-band radar data: A case study of Yazgyl Glacier |
title_full_unstemmed |
Automatic delineation of debris-covered glaciers using InSAR coherence derived from X-, C- and L-band radar data: A case study of Yazgyl Glacier |
title_sort |
automatic delineation of debris-covered glaciers using insar coherence derived from x-, c- and l-band radar data: a case study of yazgyl glacier |
publishDate |
2018 |
url |
https://orbit.dtu.dk/en/publications/356eeb4c-7397-463c-94cc-2e66c4e31d37 https://doi.org/10.1017/jog.2018.70 https://backend.orbit.dtu.dk/ws/files/160483257/automatic_delineation_of_debriscovered_glaciers_using_insar_coherence_derived_from_x_c_and_lband_radar_data_a_case_study_of_yazgyl_glacier.pdf |
genre |
Journal of Glaciology |
genre_facet |
Journal of Glaciology |
op_source |
Lippl , S , Vijay , S & Braun , M 2018 , ' Automatic delineation of debris-covered glaciers using InSAR coherence derived from X-, C- and L-band radar data: A case study of Yazgyl Glacier ' , Journal of Glaciology , vol. 64 , no. 247 , pp. 811-821 . https://doi.org/10.1017/jog.2018.70 |
op_relation |
https://orbit.dtu.dk/en/publications/356eeb4c-7397-463c-94cc-2e66c4e31d37 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1017/jog.2018.70 |
container_title |
Journal of Glaciology |
container_volume |
64 |
container_issue |
247 |
container_start_page |
811 |
op_container_end_page |
821 |
_version_ |
1810453631818792960 |