1 Ocean Surface Drift by Wavelet Tracking Using ERS-2 and ENVISAT SAR Images
Historically, ocean surface feature tracking analyses have been based on data from a single orbital sensor collected over its revisit interval of a lone, low-Earth orbital satellite. Today, ocean surface currents are being derived by performing feature tracking using data from the same type of senso...
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| Format: | Text |
| Language: | English |
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| Online Access: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.550.1853 http://earth.esa.int/workshops/seasar2006/participants/49/paper_49.pdf |
| Summary: | Historically, ocean surface feature tracking analyses have been based on data from a single orbital sensor collected over its revisit interval of a lone, low-Earth orbital satellite. Today, ocean surface currents are being derived by performing feature tracking using data from the same type of sensors on different satellites. With all-weather, day/night imaging capability, Synthetic Aperture Radar (SAR) penetrates clouds, smoke, haze, and darkness to acquire high quality images of the Earth’s surface. The ability of a SAR to provide valuable information on the type, condition, and motion of the sea-ice, ships and surface signatures of swells, wind fronts, oil slicks, and eddies has been amply demonstrated [Liu and Wu, 2001]. This makes SAR the frequent sensor of choice for cloudy coastal regions. At present, there are three major synthetic aperture radars in orbit. Radarsat-1, the first Canadian remote sensing satellite, was launched in November 1995. Radarsat-1 has a ScanSAR mode with a 500 km wide swath and a 100 m resolution. The ERS-2, having a conventional SAR with a swath of 100 km and a resolution of 25 m, was launched in April 1995 by ESA. Envisat-1 2 with an Advanced SAR (either conventional narrow swath or wide swath of 405 km with 150 m |
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