A high temporal resolution data set of ERS scatterometer radar backscatter for research in Arctic and sub-Arctic regions
Bibliographic Data
| ID | 9221967 |
|---|---|
| Authors | Yongwei Sheng (0000-0003-4447-944X, University of California, Los Angeles), Laura C Smith (0000-0001-6866-5904, University of California, Los Angeles), Laurence C Smith, Karen E Frey (0000-0002-8745-1298, University of California, Los Angeles), Douglas E Alsdorf, Douglas Alsdorf (University of California, Los Angeles) |
| Year | 2002 |
| Volume | 38 |
| Issue | 205 |
| Pages | 115-120 |
| Publication date | 2002-04-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Polar Record (JOURNAL) |
| Journal identifiers | ISSN: 0032-2474 • E-ISSN: 1475-3057 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/s0032247400017502 |
| OpenAlex | W2021135628 |
| Language | EN |
| References cited | 14 |
Radar backscatter in Arctic and sub-Arctic regions is temporally dynamic and reflects changes in sea ice, glacier facies, soil thaw state, vegetation cover, and moisture content. Wind scatterometers on the ERS-1 and ERS-2 satellites have amassed a global archive of C-band radar backscatter data since 1991. This paper derives three high temporal resolution data products from this archive that are designed to facilitate scatterometer research in high-latitude environments. Radar backscatter data have a grid spacing of 25 km and are mapped northwards from 60°N latitude over intervals of one, three, and seven days for the period 1991–2000. Data are corrected to a normalized incident angle of 40°. Animations and full-resolution data products are freely available for scientific use at http://merced.gis.ucla.edu/scatterometer/index.htm
Arctic · Backscatter (email) · Geodesy · Geography · Latitude · Meteorology · Radar · Remote sensing · Scatterometer · Snow · Synthetic aperture radar · Wind speed · Arctic and Antarctic ice dynamics · Climate change and permafrost · Environmental Science · Geology · Oceanography · Soil Moisture and Remote Sensing
| Highly cited | No |
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