Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine
Sentinel-1 satellites provide temporally dense and high spatial resolution synthetic aperture radar (SAR) imagery. The open data policy and global coverage of Sentinel-1 make it a valuable data source for a wide range of SAR-based applications. In this regard, the Google Earth Engine is a key platfo...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-05-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/13/10/1954 |
| _version_ | 1797533725393682432 |
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| author | Adugna Mullissa Andreas Vollrath Christelle Odongo-Braun Bart Slagter Johannes Balling Yaqing Gou Noel Gorelick Johannes Reiche |
| author_facet | Adugna Mullissa Andreas Vollrath Christelle Odongo-Braun Bart Slagter Johannes Balling Yaqing Gou Noel Gorelick Johannes Reiche |
| author_sort | Adugna Mullissa |
| collection | DOAJ |
| description | Sentinel-1 satellites provide temporally dense and high spatial resolution synthetic aperture radar (SAR) imagery. The open data policy and global coverage of Sentinel-1 make it a valuable data source for a wide range of SAR-based applications. In this regard, the Google Earth Engine is a key platform for large area analysis with preprocessed Sentinel-1 backscatter images available within a few days after acquisition. To preserve the information content and user freedom, some preprocessing steps (e.g., speckle filtering) are not applied on the ingested Sentinel-1 imagery as they can vary by application. In this technical note, we present a framework for preparing Sentinel-1 SAR backscatter Analysis-Ready-Data in the Google Earth Engine that combines existing and new Google Earth Engine implementations for additional border noise correction, speckle filtering and radiometric terrain normalization. The proposed framework can be used to generate Sentinel-1 Analysis-Ready-Data suitable for a wide range of land and inland water applications. The Analysis Ready Data preparation framework is implemented in the Google Earth Engine JavaScript and Python APIs. |
| first_indexed | 2024-03-10T11:19:41Z |
| format | Article |
| id | doaj.art-103f5e1094994facba05434cdd914e81 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T11:19:41Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-103f5e1094994facba05434cdd914e812023-11-21T20:06:18ZengMDPI AGRemote Sensing2072-42922021-05-011310195410.3390/rs13101954Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth EngineAdugna Mullissa0Andreas Vollrath1Christelle Odongo-Braun2Bart Slagter3Johannes Balling4Yaqing Gou5Noel Gorelick6Johannes Reiche7Laboratory of Geo-Information Science and Remote Sensing, Wageningen University and Research, Droevendaalsesteeg 3, 6708 PB Wageningen, The NetherlandsFood and Agriculture Organization of the United Nations, Viale delle Terme di Caracalla, 00153 Roma, ItalyLaboratory of Geo-Information Science and Remote Sensing, Wageningen University and Research, Droevendaalsesteeg 3, 6708 PB Wageningen, The NetherlandsLaboratory of Geo-Information Science and Remote Sensing, Wageningen University and Research, Droevendaalsesteeg 3, 6708 PB Wageningen, The NetherlandsLaboratory of Geo-Information Science and Remote Sensing, Wageningen University and Research, Droevendaalsesteeg 3, 6708 PB Wageningen, The NetherlandsLaboratory of Geo-Information Science and Remote Sensing, Wageningen University and Research, Droevendaalsesteeg 3, 6708 PB Wageningen, The NetherlandsGoogle Inc., Google Switzerland, 8002 Zurich, SwitzerlandLaboratory of Geo-Information Science and Remote Sensing, Wageningen University and Research, Droevendaalsesteeg 3, 6708 PB Wageningen, The NetherlandsSentinel-1 satellites provide temporally dense and high spatial resolution synthetic aperture radar (SAR) imagery. The open data policy and global coverage of Sentinel-1 make it a valuable data source for a wide range of SAR-based applications. In this regard, the Google Earth Engine is a key platform for large area analysis with preprocessed Sentinel-1 backscatter images available within a few days after acquisition. To preserve the information content and user freedom, some preprocessing steps (e.g., speckle filtering) are not applied on the ingested Sentinel-1 imagery as they can vary by application. In this technical note, we present a framework for preparing Sentinel-1 SAR backscatter Analysis-Ready-Data in the Google Earth Engine that combines existing and new Google Earth Engine implementations for additional border noise correction, speckle filtering and radiometric terrain normalization. The proposed framework can be used to generate Sentinel-1 Analysis-Ready-Data suitable for a wide range of land and inland water applications. The Analysis Ready Data preparation framework is implemented in the Google Earth Engine JavaScript and Python APIs.https://www.mdpi.com/2072-4292/13/10/1954Sentinel-1analysis ready dataGoogle earth enginepreprocessingspeckle filter |
| spellingShingle | Adugna Mullissa Andreas Vollrath Christelle Odongo-Braun Bart Slagter Johannes Balling Yaqing Gou Noel Gorelick Johannes Reiche Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine Remote Sensing Sentinel-1 analysis ready data Google earth engine preprocessing speckle filter |
| title | Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine |
| title_full | Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine |
| title_fullStr | Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine |
| title_full_unstemmed | Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine |
| title_short | Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine |
| title_sort | sentinel 1 sar backscatter analysis ready data preparation in google earth engine |
| topic | Sentinel-1 analysis ready data Google earth engine preprocessing speckle filter |
| url | https://www.mdpi.com/2072-4292/13/10/1954 |
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