ANTARCTICA ICE SHEET MELT DETECTION USING A MACHINE LEARNING ALGORITHM BASED ON SMAP MICROWAVE RADIOMETERY

Seyedmohammad Mousavi, Andreas Colliander, Julie Z. Miller, John S. Kimball

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Low frequency microwave measurements have been used to gain insight into what happens deep inside ice sheets for some time now. In this paper, we used a deep neural network to classify each pixel within SMAP radiometer footprints over the Antarctica ice sheet as melt or no-melt. NASA's SMAP mission offers a valuable additional set of observations. The SMAP L-band (1.4 GHz) radiometer retrievals also cover virtually the entire Antarctica ice sheet twice a day. Consistent morning and evening sampling are provided by 6 AM/PM equator-crossings of the satellite ascending and descending polar orbits. The spatial resolution of the instrument is about 40 km. The cross-entropy loss function is used in our network. To make training and test sets, we used air temperature records from available weather stations to distinguish melt and no-melt ice sheet conditions. Our results show that the ice sheet experienced extensive surface melting during the 2015-2016 melt season, and also intensive melting in 2019-2020, particularity on the West Antarctic Ice Sheet.

Original languageEnglish
Title of host publicationIGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5528-5531
Number of pages4
ISBN (Electronic)9781665403696
DOIs
StatePublished - 2021
Event2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 - Brussels, Belgium
Duration: Jul 12 2021Jul 16 2021

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2021-July

Conference

Conference2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
Country/TerritoryBelgium
CityBrussels
Period07/12/2107/16/21

Keywords

  • Antarctica
  • Ice sheet
  • Melt events
  • Microwave remote sensing
  • SMAP radiometer

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