Sentinel-1 EW mode dataset for Antarctica from 2014–2020 produced by the CASEarth Cloud Service Platform
Antarctica plays an important role in research on global change, and its unique geography, ocean, climate, and environment provide an ideal place for humankind to understand Earth’s evolution. Remote sensing provides an effective means to monitor and observe large-scale processes on the continent. S...
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ftdoajarticles:oai:doaj.org/article:4a814962ceaa4b5bb4523ac8a0d5f829 2023-05-15T13:52:04+02:00 Sentinel-1 EW mode dataset for Antarctica from 2014–2020 produced by the CASEarth Cloud Service Platform Dong Liang Huadong Guo Lu Zhang Haipeng Li Xuezhi Wang 2021-10-01T00:00:00Z https://doi.org/10.1080/20964471.2021.1976706 https://doaj.org/article/4a814962ceaa4b5bb4523ac8a0d5f829 EN eng Taylor & Francis Group http://dx.doi.org/10.1080/20964471.2021.1976706 https://doaj.org/toc/2096-4471 https://doaj.org/toc/2574-5417 2096-4471 2574-5417 doi:10.1080/20964471.2021.1976706 https://doaj.org/article/4a814962ceaa4b5bb4523ac8a0d5f829 Big Earth Data, Vol 0, Iss 0, Pp 1-16 (2021) big earth data casearth cloud computing sentinel-1 antarctica Geography. Anthropology. Recreation G Geology QE1-996.5 article 2021 ftdoajarticles https://doi.org/10.1080/20964471.2021.1976706 2022-12-31T13:06:42Z Antarctica plays an important role in research on global change, and its unique geography, ocean, climate, and environment provide an ideal place for humankind to understand Earth’s evolution. Remote sensing provides an effective means to monitor and observe large-scale processes on the continent. Synthetic aperture radar (SAR) in particular provides the capability for all-weather Earth observation. The Sentinel-1A and Sentinel-1B SAR satellites have ideal ground coverage and imaging frequency for observing Antarctica. This study developed a dataset of 69,586 Sentinel-1 EW mode satellite images of the Antarctic ice sheet from October 2014 to December 2020. The dataset was processed with the European Space Agency Sentinel Application Platform (SNAP) and a Python batch scheduling tool on the Big Earth Data Cloud Service Platform of the Chinese Academy of Sciences Big Earth Data Science Engineering Program (CASEarth). Several data processing operations were implemented to process the raw dataset, including radiometric calibration, invalid edge removal, geocoding, data re-projection to an Antarctic projection, data compression to TIFF format, and construction of image pyramids. The dataset is available at http://www.doi.org/10.11922/sciencedb.j00076.00085. Article in Journal/Newspaper Antarc* Antarctic Antarctica Ice Sheet Directory of Open Access Journals: DOAJ Articles Antarctic The Antarctic The Sentinel ENVELOPE(73.317,73.317,-52.983,-52.983) Big Earth Data 1 16 |
institution |
Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
big earth data casearth cloud computing sentinel-1 antarctica Geography. Anthropology. Recreation G Geology QE1-996.5 |
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big earth data casearth cloud computing sentinel-1 antarctica Geography. Anthropology. Recreation G Geology QE1-996.5 Dong Liang Huadong Guo Lu Zhang Haipeng Li Xuezhi Wang Sentinel-1 EW mode dataset for Antarctica from 2014–2020 produced by the CASEarth Cloud Service Platform |
topic_facet |
big earth data casearth cloud computing sentinel-1 antarctica Geography. Anthropology. Recreation G Geology QE1-996.5 |
description |
Antarctica plays an important role in research on global change, and its unique geography, ocean, climate, and environment provide an ideal place for humankind to understand Earth’s evolution. Remote sensing provides an effective means to monitor and observe large-scale processes on the continent. Synthetic aperture radar (SAR) in particular provides the capability for all-weather Earth observation. The Sentinel-1A and Sentinel-1B SAR satellites have ideal ground coverage and imaging frequency for observing Antarctica. This study developed a dataset of 69,586 Sentinel-1 EW mode satellite images of the Antarctic ice sheet from October 2014 to December 2020. The dataset was processed with the European Space Agency Sentinel Application Platform (SNAP) and a Python batch scheduling tool on the Big Earth Data Cloud Service Platform of the Chinese Academy of Sciences Big Earth Data Science Engineering Program (CASEarth). Several data processing operations were implemented to process the raw dataset, including radiometric calibration, invalid edge removal, geocoding, data re-projection to an Antarctic projection, data compression to TIFF format, and construction of image pyramids. The dataset is available at http://www.doi.org/10.11922/sciencedb.j00076.00085. |
format |
Article in Journal/Newspaper |
author |
Dong Liang Huadong Guo Lu Zhang Haipeng Li Xuezhi Wang |
author_facet |
Dong Liang Huadong Guo Lu Zhang Haipeng Li Xuezhi Wang |
author_sort |
Dong Liang |
title |
Sentinel-1 EW mode dataset for Antarctica from 2014–2020 produced by the CASEarth Cloud Service Platform |
title_short |
Sentinel-1 EW mode dataset for Antarctica from 2014–2020 produced by the CASEarth Cloud Service Platform |
title_full |
Sentinel-1 EW mode dataset for Antarctica from 2014–2020 produced by the CASEarth Cloud Service Platform |
title_fullStr |
Sentinel-1 EW mode dataset for Antarctica from 2014–2020 produced by the CASEarth Cloud Service Platform |
title_full_unstemmed |
Sentinel-1 EW mode dataset for Antarctica from 2014–2020 produced by the CASEarth Cloud Service Platform |
title_sort |
sentinel-1 ew mode dataset for antarctica from 2014–2020 produced by the casearth cloud service platform |
publisher |
Taylor & Francis Group |
publishDate |
2021 |
url |
https://doi.org/10.1080/20964471.2021.1976706 https://doaj.org/article/4a814962ceaa4b5bb4523ac8a0d5f829 |
long_lat |
ENVELOPE(73.317,73.317,-52.983,-52.983) |
geographic |
Antarctic The Antarctic The Sentinel |
geographic_facet |
Antarctic The Antarctic The Sentinel |
genre |
Antarc* Antarctic Antarctica Ice Sheet |
genre_facet |
Antarc* Antarctic Antarctica Ice Sheet |
op_source |
Big Earth Data, Vol 0, Iss 0, Pp 1-16 (2021) |
op_relation |
http://dx.doi.org/10.1080/20964471.2021.1976706 https://doaj.org/toc/2096-4471 https://doaj.org/toc/2574-5417 2096-4471 2574-5417 doi:10.1080/20964471.2021.1976706 https://doaj.org/article/4a814962ceaa4b5bb4523ac8a0d5f829 |
op_doi |
https://doi.org/10.1080/20964471.2021.1976706 |
container_title |
Big Earth Data |
container_start_page |
1 |
op_container_end_page |
16 |
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1766256304814292992 |