Spring snowmelt and midwinter thaw and refreeze north of 60°N based on Seawinds QuikScat 2000-2009
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| Formato: | Dataset Open Access |
| Lenguaje: | en |
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PANGAEA
2010
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| _version_ | 1867170045431382016 |
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| author | Bartsch, Annett |
| author_facet | Bartsch, Annett |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | The scatterometer SeaWinds on QuikSCAT provided regular measurements at Ku-band from 1999 to 2009. Although it was designed for ocean applications, it has been frequently used for the assessment of seasonal snowmelt patterns aside from other terrestrial applications such as ice cap monitoring, phenology and urban mapping. This paper discusses general data characteristics of SeaWinds and reviews relevant change detection algorithms. Depending on the complexity of the method, parameters such as long-term noise and multiple event analyses were incorporated. Temporal averaging is a commonly accepted preprocessing step with consideration of diurnal, multi-day or seasonal averages. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_834198 |
| institution | PANGAEA |
| language | en |
| publishDate | 2010 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Spring snowmelt and midwinter thaw and refreeze north of 60°N based on Seawinds QuikScat 2000-2009 Bartsch, Annett Arctic; Changing Permafrost in the Arctic and its Global Effects in the 21st Century; File content; PAGE21; pan-Arctic; Uniform resource locator/link to file The scatterometer SeaWinds on QuikSCAT provided regular measurements at Ku-band from 1999 to 2009. Although it was designed for ocean applications, it has been frequently used for the assessment of seasonal snowmelt patterns aside from other terrestrial applications such as ice cap monitoring, phenology and urban mapping. This paper discusses general data characteristics of SeaWinds and reviews relevant change detection algorithms. Depending on the complexity of the method, parameters such as long-term noise and multiple event analyses were incorporated. Temporal averaging is a commonly accepted preprocessing step with consideration of diurnal, multi-day or seasonal averages. |
| title | Spring snowmelt and midwinter thaw and refreeze north of 60°N based on Seawinds QuikScat 2000-2009 |
| topic | Arctic; Changing Permafrost in the Arctic and its Global Effects in the 21st Century; File content; PAGE21; pan-Arctic; Uniform resource locator/link to file |
| url | https://doi.org/10.1594/PANGAEA.834198 |