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  • Antarctica; File content; ice velocity; Landsat8; pan-Antarctica; Uniform resource locator/link to file  (2)
  • Key words. Robust fitting  (1)
  • Key words: TOPEX/Poseidon – Sea-level change – Thermal effect  (1)
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  • 1
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    Antarctic-Wide Annual Ice Flow Maps from Landsat 8 Imagery between 2013 and 2019 (2020)
    PANGAEA
    Details
    Publication Date: 2024-01-13
    Description: This dataset includes annual mosaics of Antarctic ice velocity derived from Landsat 8 images between December, 2013 and April, 2019, which was updated in 2020 in order to produce multi-year annual ice velocity mosaics and improve the quality of products including non-local means (NLM) filter, and absolute calibration using rock outcrops data. The resulting Version 2 of the mosaics offer reduced local errors, improved spatial resolution as described in the README file.
    Keywords: Antarctica; File content; ice velocity; Landsat8; pan-Antarctica; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 56 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 2
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    Improved Antarctic-Wide Ice Flow Maps from Landsat 8 Imagery (2019)
    PANGAEA
    Details
    Publication Date: 2024-01-13
    Description: Here, we present a methodology which can automatically calibrate, mosaic, and post-process Landsat images into displacement maps, resulting in seamless, continent-wide, ice velocity products. Using this developed methodology, we have assembled over 200,000 displacement maps to generate Antarctic-wide annual mosaics of ice velocity maps from more than 70,000 Landsat 8 images acquired between December 2013 and April 2019. The new suite of annual Antarctic ice velocity maps at 105-m grid spacing provide the clearest picture of Antarctic-wide ice flow to-date, and error analysis via comparisons with various available prior ice velocity data products and in situ data confirmed the improved accuracy of this new data product.
    Keywords: Antarctica; File content; ice velocity; Landsat8; pan-Antarctica; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 56 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 3
    Electronic Resource
    Electronic Resource
    Robust estimation of systematic errors of satellite laser range (1999)
    Springer
    Journal of geodesy 73 (1999), S. 345-349 
    Details
    ISSN: 1432-1394
    Keywords: Key words. Robust fitting ; Systematic errors ; SLR
    Source: Springer Online Journal Archives 1860-2000
    Topics: Architecture, Civil Engineering, Surveying
    Notes: Abstract. Methods for analyzing laser-ranging residuals to estimate station-dependent systematic errors and to eliminate outliers in satellite laser ranges are discussed. A robust estimator based on an M-estimation principle is introduced. A practical calculation procedure which provides a robust criterion with high breakdown point and produces robust initial residuals for following iterative robust estimation is presented. Comparison of the results from the least-squares method with those of the robust method shows that the results of the station systematic errors from the robust estimator are more reliable.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/s001900050252
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    Paper (German National Licenses)
    Fulltext
  • 4
    Electronic Resource
    Electronic Resource
    Seasonal sea level change from TOPEX/Poseidon observation and thermal contribution (2000)
    Springer
    Journal of geodesy 73 (2000), S. 638-647 
    Details
    ISSN: 1432-1394
    Keywords: Key words: TOPEX/Poseidon – Sea-level change – Thermal effect
    Source: Springer Online Journal Archives 1860-2000
    Topics: Architecture, Civil Engineering, Surveying
    Notes: Abstract. Seasonal steric sea-level change due to temperature variation in the mixing layer is assessed using space-measured sea-surface temperature data and historical in situ temperature measurements. The results are compared with TOPEX/Poseidon satellite altimeter measurement at different large spatial scales. It is indicated that thermal effect accounts for much of the observed seasonal variability, especially when averaging over zonal regions. Some regional seasonal patterns of sea-level anomalies in the tropical oceans are well represented by the thermal model prediction. Systematic differences are shown between TOPEX/Poseidon observation and thermal contribution at a 1–2 cm level. The potential causes for these differences are discussed, including water mass exchanges among the atmosphere, land, and oceans, and error sources in the steric result and geophysical corrections applied in TOPEX/Poseidon data.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/s001900050002
    Location Call Number Expected Availability
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    Paper (German National Licenses)
    Fulltext
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