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Digital corrections for Sentinel-1 satellite images by Staff Writers Berlin, Germany (SPX) Jul 07, 2021
Researchers at the German Aerospace Center Earth Observation Center (EOC) have developed a correction procedure for the radar satellites of the European Sentinel-1 mission. With this methodology, the geographic location of satellite measurements can be determined with significantly greater accuracy. Every pixel can be localised on Earth's surface with a precision of a few centimetres instead of a few metres. Satellite-borne Synthetic Aperture Radar (SAR) uses radar signals transmitted towards Earth's surface to acquire image data unconstrained by time of day and weather conditions. The SAR principle evaluates the propagation times of these signals and, in addition to the image data, provides highly accurate measurements of the distance from the satellite to Earth's surface. The position measurement is available for any object that is visible as a pixel in the radar image. If all the influences that interfere with the measurement are factored out, positional accuracy of down to one hundredth of the image resolution can be achieved. In this way, the location of an image pixel with a ground resolution of one metre can be determined down to within one centimetre.
Knowledge transfer in radar-based Earth observation After more than two years of development and testing, the correction processor was delivered to ESA in May 2021 and in June was introduced at the ESA FRINGE 2021 conference in June. At present, the processor and the resulting products are in test operation at ESA. Initial trial applications in the areas of ice mapping and interferometry are already yielding promising results. Further user studies are planned by ESA until the end of 2021. With the European Sentinel-1 Copernicus Mission, the Sentinel-1 Extended Timing Annotation Dataset (S-1 ETAD) correction methodology can be used operationally for the first time. It will be used for global mapping of Earth and to improve many applications, for example the measurement of large-scale ice movements or ground displacements. Since the launch of the first Sentinel-1 satellite in 2014 and the second satellite in 2016, the Sentinel-1 mission has revolutionised radar-based Earth observation. Every day, the two satellites, Sentinel-1A and Sentinel-1B, deliver more than 100 radar images of Earth's surface that are available free of charge to all users.
Results within minutes This demanding analysis is made using the exact parameters of each SAR image, the satellite orbit determined to an accuracy five centimetres, and a global terrain model with a resolution of 90 metres. Added to this, there are the parameters from the numerical weather model created by the European Centre for Medium-Range Weather Forecasts (ECMWF) and the electron content of the ionosphere as measured by Galileo and other global satellite navigation systems. These data sets are continuously downloaded by ESA's Sentinel-1 ground segment and provided for the period of the recordings. The calculated effects add up to as much as five metres in the range direction (image coordinates perpendicular to the satellite's flight direction) and up to six metres in the azimuth direction (image coordinates along the satellite's flight direction). The results are made available as customised corrections for each Sentinel-1 radar image. Final, operational generation by the Sentinel-1 ground segment and delivery of ETAD products is planned for 2022.
Scientists use NASA satellite data to track ocean microplastics from space Greenbelt MD (SPX) Jun 28, 2021 Scientists from the University of Michigan have developed an innovative way to use NASA satellite data to track the movement of tiny pieces of plastic in the ocean. Microplastics form when plastic trash in the ocean breaks down from the sun's rays and the motion of ocean waves. These small flecks of plastic are harmful to marine organisms and ecosystems. Microplastics can be carried hundreds or thousands of miles away from the source by ocean currents, making it difficult to track and remove ... read more
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