Sounding the Antarctic ice sheet from space: a feasibility study based on airborne P-band radar data

Jørgen Dall, Hugh F. J. Corr, Nick Walker, Bjorn Rommen, Chung-Chi Lin

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Space-based radio echo sounding of the continental ice sheets can potentially provide full coverage with uniform sampling and data quality as well as detection of change in environmentally sensitive areas. This paper addresses the feasibility of sounding the Antarctic ice sheets with a space-based P-band radar. The assessment firstly makes use of an electromagnetic model of the ice sheets where the key model parameters are determined from data that have been acquired in Antarctica with an airborne P-band ice sounding radar. The performance of a space-based radar with a nadir-looking geometry but otherwise similar to ESA's Biomass SAR, is then simulated for a set of Antarctic scenarios that are defined based on the statistics of key ice regions. It is found that in about 2/3 of the simulation scenarios clutter and/or thermal noise will obscure the echo from the ice bed.
Original languageEnglish
Title of host publicationIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
Number of pages4
PublisherIEEE
Publication date2018
Pages4142-4145
ISBN (Electronic)978-1-5386-7150-4
DOIs
Publication statusPublished - 2018
Event2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain
Duration: 22 Jul 201827 Jul 2018

Conference

Conference2018 IEEE International Geoscience and Remote Sensing Symposium
CountrySpain
CityValencia
Period22/07/201827/07/2018
SeriesIEEE International Geoscience and Remote Sensing Symposium Proceedings
ISSN2153-6996

Keywords

  • Radar
  • Ice sheets
  • Antartics
  • Sounding
  • Electromagnetic model
  • P-band
  • Satellite

Cite this

Dall, J., Corr, H. F. J., Walker, N., Rommen, B., & Lin, C-C. (2018). Sounding the Antarctic ice sheet from space: a feasibility study based on airborne P-band radar data. In IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium (pp. 4142-4145). IEEE. IEEE International Geoscience and Remote Sensing Symposium Proceedings https://doi.org/10.1109/IGARSS.2018.8518826