Data Reduction Using Statistical and Regression Approaches for Ice Velocity Derived by Landsat-8, Sentinel-1 and Sentinel-2
International audience During the last decade, the number of available satellite observations has increased significantly, allowing for far more frequent measurements of the glacier speed. Appropriate methods of post-processing need to be developed to efficiently deal with the large volumes of data...
Published in: | Remote Sensing |
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2020
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Online Access: | https://hal.archives-ouvertes.fr/hal-03041010 https://hal.archives-ouvertes.fr/hal-03041010/document https://hal.archives-ouvertes.fr/hal-03041010/file/remotesensing-12-01935-v2.pdf https://doi.org/10.3390/rs12121935 |
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ftccsdartic:oai:HAL:hal-03041010v1 2023-05-15T16:21:28+02:00 Data Reduction Using Statistical and Regression Approaches for Ice Velocity Derived by Landsat-8, Sentinel-1 and Sentinel-2 Derkacheva, Anna Mouginot, Jeremie Millan, Romain Maier, Nathan Gillet-Chaulet, Fabien Institut des Géosciences de l’Environnement (IGE) Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ) Université Grenoble Alpes (UGA) 2020-06 https://hal.archives-ouvertes.fr/hal-03041010 https://hal.archives-ouvertes.fr/hal-03041010/document https://hal.archives-ouvertes.fr/hal-03041010/file/remotesensing-12-01935-v2.pdf https://doi.org/10.3390/rs12121935 en eng HAL CCSD MDPI info:eu-repo/semantics/altIdentifier/doi/10.3390/rs12121935 hal-03041010 https://hal.archives-ouvertes.fr/hal-03041010 https://hal.archives-ouvertes.fr/hal-03041010/document https://hal.archives-ouvertes.fr/hal-03041010/file/remotesensing-12-01935-v2.pdf doi:10.3390/rs12121935 info:eu-repo/semantics/OpenAccess ISSN: 2072-4292 Remote Sensing https://hal.archives-ouvertes.fr/hal-03041010 Remote Sensing, MDPI, 2020, 12 (12), pp.1935. ⟨10.3390/rs12121935⟩ ice velocity time series post-processing data reduction non-parametric regression multi-sensor data [SDE]Environmental Sciences info:eu-repo/semantics/article Journal articles 2020 ftccsdartic https://doi.org/10.3390/rs12121935 2021-12-05T00:47:09Z International audience During the last decade, the number of available satellite observations has increased significantly, allowing for far more frequent measurements of the glacier speed. Appropriate methods of post-processing need to be developed to efficiently deal with the large volumes of data generated and relatively large intrinsic errors associated with the measurements. Here, we process and combine together measurements of ice velocity of Russell Gletscher in Greenland from three satellites—Sentinel-1, Sentinel-2, and Landsat-8, creating a multi-year velocity database with high temporal and spatial resolution. We then investigate post-processing methodologies with the aim of generating corrected, ordered, and simplified time series. We tested rolling mean and median, cubic spline regression, and linear non-parametric local regression (LOWESS) smoothing algorithms to reduce data noise, evaluated the results against ground-based GPS in one location, and compared the results between two locations with different characteristics. We found that LOWESS provides the best solution for noisy measurements that are unevenly distributed in time. Using this methodology with these sensors, we can robustly derive time series with temporal resolution of 2–3 weeks and improve the accuracy on the ice velocity to about 10 m/yr, or a factor of three compared to the initial measurements. The presented methodology could be applied to the entire Greenland ice sheet with an aim of reconstructing comprehensive sub-seasonal ice flow dynamics and mass balance Article in Journal/Newspaper glacier Greenland Ice Sheet Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Greenland Remote Sensing 12 12 1935 |
institution |
Open Polar |
collection |
Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
op_collection_id |
ftccsdartic |
language |
English |
topic |
ice velocity time series post-processing data reduction non-parametric regression multi-sensor data [SDE]Environmental Sciences |
spellingShingle |
ice velocity time series post-processing data reduction non-parametric regression multi-sensor data [SDE]Environmental Sciences Derkacheva, Anna Mouginot, Jeremie Millan, Romain Maier, Nathan Gillet-Chaulet, Fabien Data Reduction Using Statistical and Regression Approaches for Ice Velocity Derived by Landsat-8, Sentinel-1 and Sentinel-2 |
topic_facet |
ice velocity time series post-processing data reduction non-parametric regression multi-sensor data [SDE]Environmental Sciences |
description |
International audience During the last decade, the number of available satellite observations has increased significantly, allowing for far more frequent measurements of the glacier speed. Appropriate methods of post-processing need to be developed to efficiently deal with the large volumes of data generated and relatively large intrinsic errors associated with the measurements. Here, we process and combine together measurements of ice velocity of Russell Gletscher in Greenland from three satellites—Sentinel-1, Sentinel-2, and Landsat-8, creating a multi-year velocity database with high temporal and spatial resolution. We then investigate post-processing methodologies with the aim of generating corrected, ordered, and simplified time series. We tested rolling mean and median, cubic spline regression, and linear non-parametric local regression (LOWESS) smoothing algorithms to reduce data noise, evaluated the results against ground-based GPS in one location, and compared the results between two locations with different characteristics. We found that LOWESS provides the best solution for noisy measurements that are unevenly distributed in time. Using this methodology with these sensors, we can robustly derive time series with temporal resolution of 2–3 weeks and improve the accuracy on the ice velocity to about 10 m/yr, or a factor of three compared to the initial measurements. The presented methodology could be applied to the entire Greenland ice sheet with an aim of reconstructing comprehensive sub-seasonal ice flow dynamics and mass balance |
author2 |
Institut des Géosciences de l’Environnement (IGE) Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ) Université Grenoble Alpes (UGA) |
format |
Article in Journal/Newspaper |
author |
Derkacheva, Anna Mouginot, Jeremie Millan, Romain Maier, Nathan Gillet-Chaulet, Fabien |
author_facet |
Derkacheva, Anna Mouginot, Jeremie Millan, Romain Maier, Nathan Gillet-Chaulet, Fabien |
author_sort |
Derkacheva, Anna |
title |
Data Reduction Using Statistical and Regression Approaches for Ice Velocity Derived by Landsat-8, Sentinel-1 and Sentinel-2 |
title_short |
Data Reduction Using Statistical and Regression Approaches for Ice Velocity Derived by Landsat-8, Sentinel-1 and Sentinel-2 |
title_full |
Data Reduction Using Statistical and Regression Approaches for Ice Velocity Derived by Landsat-8, Sentinel-1 and Sentinel-2 |
title_fullStr |
Data Reduction Using Statistical and Regression Approaches for Ice Velocity Derived by Landsat-8, Sentinel-1 and Sentinel-2 |
title_full_unstemmed |
Data Reduction Using Statistical and Regression Approaches for Ice Velocity Derived by Landsat-8, Sentinel-1 and Sentinel-2 |
title_sort |
data reduction using statistical and regression approaches for ice velocity derived by landsat-8, sentinel-1 and sentinel-2 |
publisher |
HAL CCSD |
publishDate |
2020 |
url |
https://hal.archives-ouvertes.fr/hal-03041010 https://hal.archives-ouvertes.fr/hal-03041010/document https://hal.archives-ouvertes.fr/hal-03041010/file/remotesensing-12-01935-v2.pdf https://doi.org/10.3390/rs12121935 |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
glacier Greenland Ice Sheet |
genre_facet |
glacier Greenland Ice Sheet |
op_source |
ISSN: 2072-4292 Remote Sensing https://hal.archives-ouvertes.fr/hal-03041010 Remote Sensing, MDPI, 2020, 12 (12), pp.1935. ⟨10.3390/rs12121935⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.3390/rs12121935 hal-03041010 https://hal.archives-ouvertes.fr/hal-03041010 https://hal.archives-ouvertes.fr/hal-03041010/document https://hal.archives-ouvertes.fr/hal-03041010/file/remotesensing-12-01935-v2.pdf doi:10.3390/rs12121935 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.3390/rs12121935 |
container_title |
Remote Sensing |
container_volume |
12 |
container_issue |
12 |
container_start_page |
1935 |
_version_ |
1766009481137750016 |