Improving the Estimation of Water Level over Freshwater Ice Cover using Altimetry Satellite Active and Passive Observations
Owing to its temporal resolution of 10-day and its polar orbit allowing several crossings over large lakes, the US National Aeronautics and Space Administration (NASA) and the French Centre National d’Etudes Spatiales (CNES) missions including Topex/Poseidon, Jason-1/2/3 demonstrated strong capabili...
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ftmdpi:oai:mdpi.com:/2072-4292/12/6/967/ 2023-08-20T04:06:45+02:00 Improving the Estimation of Water Level over Freshwater Ice Cover using Altimetry Satellite Active and Passive Observations Jawad Ziyad Kalifa Goïta Ramata Magagi Fabien Blarel Frédéric Frappart agris 2020-03-17 application/pdf https://doi.org/10.3390/rs12060967 EN eng Multidisciplinary Digital Publishing Institute Remote Sensing in Geology, Geomorphology and Hydrology https://dx.doi.org/10.3390/rs12060967 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 12; Issue 6; Pages: 967 Inland water radar altimetry backscatter brightness temperature peakiness ice cover clustering Jason-2 Text 2020 ftmdpi https://doi.org/10.3390/rs12060967 2023-07-31T23:15:01Z Owing to its temporal resolution of 10-day and its polar orbit allowing several crossings over large lakes, the US National Aeronautics and Space Administration (NASA) and the French Centre National d’Etudes Spatiales (CNES) missions including Topex/Poseidon, Jason-1/2/3 demonstrated strong capabilities for the continuous and long-term monitoring (starting in 1992) of large and medium-sized water bodies. However, the presence of heterogeneous targets in the altimeter footprint, such as ice cover in boreal areas, remains a major issue to obtain estimates of water level over subarctic lakes of similar accuracy as over other inland water bodies using satellite altimetry (i.e., R ≥ 0.9 and RMSE ≤ 10 to 20 cm when compared to in-situ water stages). In this study, we aim to automatically identify the Jason-2 altimetry measurements corresponding to open water, ice and transition (water-ice) to improve the estimations of water level during freeze and thaw periods using only the point measurements of open water. Four Canadian lakes were selected to analyze active (waveform parameters) and passive (brightness temperature) microwave data acquired by the Jason-2 radar altimetry mission: Great Slave Lake, Lake Athabasca, Lake Winnipeg, and Lake of the Woods. To determine lake surface states, backscattering coefficient and peakiness at Ku-band derived from the radar altimeter waveform and brightness temperature at 18.7 and 37 GHz measured by the microwave radiometer contained in the geophysical data records (GDR) of Jason-2 were used in two different unsupervised classification techniques to define the thresholds of discrimination between open water and ice measurements. K-means technique provided better results than hierarchical clustering based upon silhouette criteria and the Calinski-Harabz index. Thresholds of discrimination between ice and water were validated with the Normalized Difference Snow Index (NDSI) snow cover products of the MODIS satellite. The use of open water threshold resulted in improved water level ... Text Great Slave Lake Lake Athabasca Subarctic MDPI Open Access Publishing Great Slave Lake ENVELOPE(-114.001,-114.001,61.500,61.500) Remote Sensing 12 6 967 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
Inland water radar altimetry backscatter brightness temperature peakiness ice cover clustering Jason-2 |
spellingShingle |
Inland water radar altimetry backscatter brightness temperature peakiness ice cover clustering Jason-2 Jawad Ziyad Kalifa Goïta Ramata Magagi Fabien Blarel Frédéric Frappart Improving the Estimation of Water Level over Freshwater Ice Cover using Altimetry Satellite Active and Passive Observations |
topic_facet |
Inland water radar altimetry backscatter brightness temperature peakiness ice cover clustering Jason-2 |
description |
Owing to its temporal resolution of 10-day and its polar orbit allowing several crossings over large lakes, the US National Aeronautics and Space Administration (NASA) and the French Centre National d’Etudes Spatiales (CNES) missions including Topex/Poseidon, Jason-1/2/3 demonstrated strong capabilities for the continuous and long-term monitoring (starting in 1992) of large and medium-sized water bodies. However, the presence of heterogeneous targets in the altimeter footprint, such as ice cover in boreal areas, remains a major issue to obtain estimates of water level over subarctic lakes of similar accuracy as over other inland water bodies using satellite altimetry (i.e., R ≥ 0.9 and RMSE ≤ 10 to 20 cm when compared to in-situ water stages). In this study, we aim to automatically identify the Jason-2 altimetry measurements corresponding to open water, ice and transition (water-ice) to improve the estimations of water level during freeze and thaw periods using only the point measurements of open water. Four Canadian lakes were selected to analyze active (waveform parameters) and passive (brightness temperature) microwave data acquired by the Jason-2 radar altimetry mission: Great Slave Lake, Lake Athabasca, Lake Winnipeg, and Lake of the Woods. To determine lake surface states, backscattering coefficient and peakiness at Ku-band derived from the radar altimeter waveform and brightness temperature at 18.7 and 37 GHz measured by the microwave radiometer contained in the geophysical data records (GDR) of Jason-2 were used in two different unsupervised classification techniques to define the thresholds of discrimination between open water and ice measurements. K-means technique provided better results than hierarchical clustering based upon silhouette criteria and the Calinski-Harabz index. Thresholds of discrimination between ice and water were validated with the Normalized Difference Snow Index (NDSI) snow cover products of the MODIS satellite. The use of open water threshold resulted in improved water level ... |
format |
Text |
author |
Jawad Ziyad Kalifa Goïta Ramata Magagi Fabien Blarel Frédéric Frappart |
author_facet |
Jawad Ziyad Kalifa Goïta Ramata Magagi Fabien Blarel Frédéric Frappart |
author_sort |
Jawad Ziyad |
title |
Improving the Estimation of Water Level over Freshwater Ice Cover using Altimetry Satellite Active and Passive Observations |
title_short |
Improving the Estimation of Water Level over Freshwater Ice Cover using Altimetry Satellite Active and Passive Observations |
title_full |
Improving the Estimation of Water Level over Freshwater Ice Cover using Altimetry Satellite Active and Passive Observations |
title_fullStr |
Improving the Estimation of Water Level over Freshwater Ice Cover using Altimetry Satellite Active and Passive Observations |
title_full_unstemmed |
Improving the Estimation of Water Level over Freshwater Ice Cover using Altimetry Satellite Active and Passive Observations |
title_sort |
improving the estimation of water level over freshwater ice cover using altimetry satellite active and passive observations |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2020 |
url |
https://doi.org/10.3390/rs12060967 |
op_coverage |
agris |
long_lat |
ENVELOPE(-114.001,-114.001,61.500,61.500) |
geographic |
Great Slave Lake |
geographic_facet |
Great Slave Lake |
genre |
Great Slave Lake Lake Athabasca Subarctic |
genre_facet |
Great Slave Lake Lake Athabasca Subarctic |
op_source |
Remote Sensing; Volume 12; Issue 6; Pages: 967 |
op_relation |
Remote Sensing in Geology, Geomorphology and Hydrology https://dx.doi.org/10.3390/rs12060967 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs12060967 |
container_title |
Remote Sensing |
container_volume |
12 |
container_issue |
6 |
container_start_page |
967 |
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1774718058675306496 |