A Sentinel-1 Backscatter Datacube for Global Land Monitoring Applications
The Sentinel-1 Synthetic Aperture Radar (SAR) satellites allow global monitoring of the Earth’s land surface with unprecedented spatio-temporal coverage. Yet, implementing large-scale monitoring capabilities is a challenging task given the large volume of data from Sentinel-1 and the complex algorit...
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ftmdpi:oai:mdpi.com:/2072-4292/13/22/4622/ 2023-08-20T04:01:28+02:00 A Sentinel-1 Backscatter Datacube for Global Land Monitoring Applications Wolfgang Wagner Bernhard Bauer-Marschallinger Claudio Navacchi Felix Reuß Senmao Cao Christoph Reimer Matthias Schramm Christian Briese agris 2021-11-17 application/pdf https://doi.org/10.3390/rs13224622 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/rs13224622 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 13; Issue 22; Pages: 4622 datacube Sentinel-1 analysis-ready data land monitoring global Text 2021 ftmdpi https://doi.org/10.3390/rs13224622 2023-08-01T03:16:34Z The Sentinel-1 Synthetic Aperture Radar (SAR) satellites allow global monitoring of the Earth’s land surface with unprecedented spatio-temporal coverage. Yet, implementing large-scale monitoring capabilities is a challenging task given the large volume of data from Sentinel-1 and the complex algorithms needed to convert the SAR intensity data into higher-level geophysical data products. While on-demand processing solutions have been proposed to cope with the petabyte-scale data volumes, in practice many applications require preprocessed datacubes that permit fast access to multi-year time series and image stacks. To serve near-real-time as well as offline land monitoring applications, we have created a Sentinel-1 backscatter datacube for all continents (except Antarctica) that is constantly being updated and maintained to ensure consistency and completeness of the data record over time. In this technical note, we present the technical specifications of the datacube, means of access and analysis capabilities, and its use in scientific and operational applications. Text Antarc* Antarctica MDPI Open Access Publishing The Sentinel ENVELOPE(73.317,73.317,-52.983,-52.983) Remote Sensing 13 22 4622 |
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Open Polar |
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MDPI Open Access Publishing |
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English |
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datacube Sentinel-1 analysis-ready data land monitoring global |
spellingShingle |
datacube Sentinel-1 analysis-ready data land monitoring global Wolfgang Wagner Bernhard Bauer-Marschallinger Claudio Navacchi Felix Reuß Senmao Cao Christoph Reimer Matthias Schramm Christian Briese A Sentinel-1 Backscatter Datacube for Global Land Monitoring Applications |
topic_facet |
datacube Sentinel-1 analysis-ready data land monitoring global |
description |
The Sentinel-1 Synthetic Aperture Radar (SAR) satellites allow global monitoring of the Earth’s land surface with unprecedented spatio-temporal coverage. Yet, implementing large-scale monitoring capabilities is a challenging task given the large volume of data from Sentinel-1 and the complex algorithms needed to convert the SAR intensity data into higher-level geophysical data products. While on-demand processing solutions have been proposed to cope with the petabyte-scale data volumes, in practice many applications require preprocessed datacubes that permit fast access to multi-year time series and image stacks. To serve near-real-time as well as offline land monitoring applications, we have created a Sentinel-1 backscatter datacube for all continents (except Antarctica) that is constantly being updated and maintained to ensure consistency and completeness of the data record over time. In this technical note, we present the technical specifications of the datacube, means of access and analysis capabilities, and its use in scientific and operational applications. |
format |
Text |
author |
Wolfgang Wagner Bernhard Bauer-Marschallinger Claudio Navacchi Felix Reuß Senmao Cao Christoph Reimer Matthias Schramm Christian Briese |
author_facet |
Wolfgang Wagner Bernhard Bauer-Marschallinger Claudio Navacchi Felix Reuß Senmao Cao Christoph Reimer Matthias Schramm Christian Briese |
author_sort |
Wolfgang Wagner |
title |
A Sentinel-1 Backscatter Datacube for Global Land Monitoring Applications |
title_short |
A Sentinel-1 Backscatter Datacube for Global Land Monitoring Applications |
title_full |
A Sentinel-1 Backscatter Datacube for Global Land Monitoring Applications |
title_fullStr |
A Sentinel-1 Backscatter Datacube for Global Land Monitoring Applications |
title_full_unstemmed |
A Sentinel-1 Backscatter Datacube for Global Land Monitoring Applications |
title_sort |
sentinel-1 backscatter datacube for global land monitoring applications |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2021 |
url |
https://doi.org/10.3390/rs13224622 |
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agris |
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ENVELOPE(73.317,73.317,-52.983,-52.983) |
geographic |
The Sentinel |
geographic_facet |
The Sentinel |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_source |
Remote Sensing; Volume 13; Issue 22; Pages: 4622 |
op_relation |
https://dx.doi.org/10.3390/rs13224622 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs13224622 |
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Remote Sensing |
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13 |
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22 |
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4622 |
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