<div class="csl-bib-body">
<div class="csl-entry">Ali, I., Cao, S., Freeman, V., Paulik, C., & Wagner, W. (2018). Methods to Remove the Border Noise From Sentinel-1 Synthetic Aperture Radar Data: Implications and Importance For Time-Series Analysis. <i>IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing</i>, <i>11</i>(3), 777–786. https://doi.org/10.1109/jstars.2017.2787650</div>
</div>
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dc.identifier.issn
1939-1404
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/144950
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dc.description.abstract
The Sentinel-1 GRD (ground range detected) Level-1 product generated by the Instrument Processing Facility of the European Space Agency has noise artifacts at the image borders, which are quite consistent at both left and right sides of the satellite's cross track and at the start and end of the data take along track. The Sentinel-1 border noise troubles the creation of clean and consistence time series of backscatter. Data quality control and management become very challenging tasks, when it comes to the large-scale data processing, both in terms of spatial coverage and data volume. In this paper, we evaluate three techniques for removing the Sentinel-1 border noise and compare the results with the existing "Sentinel-1 GRD Border Noise Removal" algorithm implemented in the Sentinel-1 toolbox of the Sentinel application platform. Validation and evaluation of the newly proposed algorithms was done using random samples containing 1500 Sentinel-1 scenes selected from a complete Sentinel-1 archive. The newly proposed approach has successfully achieved the required level of accuracy and solved the issue of time-series anomalies due to the border noise.
en
dc.language.iso
en
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dc.publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
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dc.relation.ispartof
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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dc.subject
Sentinel-1
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dc.subject
Computers in Earth Sciences
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dc.subject
Atmospheric Science
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dc.subject
C-band synthetic aperture radar (SAR)
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dc.subject
interferometric wide swath (IW)
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dc.subject
Sentinel application platform (SNAP)
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dc.subject
Sentinel-1 border noise
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dc.title
Methods to Remove the Border Noise From Sentinel-1 Synthetic Aperture Radar Data: Implications and Importance For Time-Series Analysis
en
dc.type
Artikel
de
dc.type
Article
en
dc.description.startpage
777
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dc.description.endpage
786
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dc.type.category
Original Research Article
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tuw.container.volume
11
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tuw.container.issue
3
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tuw.journal.peerreviewed
true
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tuw.peerreviewed
true
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tuw.researchTopic.id
E4
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tuw.researchTopic.name
Environmental Monitoring and Climate Adaptation
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tuw.researchTopic.value
100
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dcterms.isPartOf.title
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing