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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Autores principales:	Wolfgang Wagner, Bernhard Bauer-Marschallinger, Claudio Navacchi, Felix Reuß, Senmao Cao, Christoph Reimer, Matthias Schramm, Christian Briese
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	datacube Sentinel-1 analysis-ready data land monitoring global Science Q
Acceso en línea:	https://doaj.org/article/f63df5bbe5424363bbbca0d05f2c18c4
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id	oai:doaj.org-article:f63df5bbe5424363bbbca0d05f2c18c4
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spelling	oai:doaj.org-article:f63df5bbe5424363bbbca0d05f2c18c42021-11-25T18:54:51ZA Sentinel-1 Backscatter Datacube for Global Land Monitoring Applications10.3390/rs132246222072-4292https://doaj.org/article/f63df5bbe5424363bbbca0d05f2c18c42021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/22/4622https://doaj.org/toc/2072-4292The 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.Wolfgang WagnerBernhard Bauer-MarschallingerClaudio NavacchiFelix ReußSenmao CaoChristoph ReimerMatthias SchrammChristian BrieseMDPI AGarticledatacubeSentinel-1analysis-ready dataland monitoringglobalScienceQENRemote Sensing, Vol 13, Iss 4622, p 4622 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	datacube Sentinel-1 analysis-ready data land monitoring global Science Q
spellingShingle	datacube Sentinel-1 analysis-ready data land monitoring global Science Q 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
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	article
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	MDPI AG
publishDate	2021
url	https://doaj.org/article/f63df5bbe5424363bbbca0d05f2c18c4
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A Sentinel-1 Backscatter Datacube for Global Land Monitoring Applications

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