Remote Sensing (Aug 2022)

Validation of an Empirical Subwaveform Retracking Strategy for SAR Altimetry

  • Marcello Passaro,
  • Laura Rautiainen,
  • Denise Dettmering,
  • Marco Restano,
  • Michael G. Hart-Davis,
  • Florian Schlembach,
  • Jani Särkkä,
  • Felix L. Müller,
  • Christian Schwatke,
  • Jérôme Benveniste

DOI
https://doi.org/10.3390/rs14164122
Journal volume & issue
Vol. 14, no. 16
p. 4122

Abstract

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The sea level retrievals from the latest generation of radar altimeters (the SAR altimeters) are still challenging in the coastal zone and areas covered by sea ice and require a dedicated fitting (retracking) strategy for the waveforms. In the framework of the European Space Agency’s Baltic + Sea Level (ESA Baltic SEAL) project, an empirical retracking strategy (ALES + SAR), including a dedicated sea state bias correction, has been designed to improve the sea level observations in the Baltic Sea, characterised by a jagged coastline and seasonal sea ice coverage, without compromising the quality of open ocean data. In this work, the performances of ALES + SAR are validated against in-situ data in the Baltic Sea. Moreover, variance, crossover differences and power spectral density of the open ocean data are evaluated on a global scale. The results show that ALES + SAR performances are of comparable quality to the ones obtained using physical-based retrackers, with relevant advantages in coastal and sea ice areas in terms of quality and quantity of the sea level data.

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