Snow on lake ice: Overview of a multiyear airborne radiometer data collection program and related modeling efforts

Martti Hallikainen, Matti Vaaja, Jaakko Seppänen, Jaan Praks, Juha Lemmetyinen

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

1 Citation (Scopus)

Abstract

We have conducted a multiyear airborne multifrequency microwave radiometer data collection program over a test site comprising two lakes and adjacent land areas in southern Finland. A variety of snow and ice conditions were encountered, covering early winter, mid-winter, and late winter conditions, and the melting season. A semi-empirical radiative transfer forward model has been used for simulations and the theoretical values have been compared with experimental brightness temperature observations.

Original languageEnglish
Title of host publicationProceedings of the 14th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment, MicroRad 2016
PublisherIEEE
Pages98-103
Number of pages6
ISBN (Electronic)9781509029518
DOIs
Publication statusPublished - 2 Aug 2016
MoE publication typeA4 Article in a conference publication
EventSpecialist Meeting on Microwave Radiometry and Remote Sensing of the Environment - Espoo, Finland
Duration: 11 Apr 201614 Apr 2016
Conference number: 14
http://www.microrad2016.org/

Conference

ConferenceSpecialist Meeting on Microwave Radiometry and Remote Sensing of the Environment
Abbreviated titleMicroRad 2016
CountryFinland
CityEspoo
Period11/04/201614/04/2016
Internet address

Keywords

  • HUT snow emission model
  • HUT-2D
  • HUTRAD
  • lake ice
  • microwave radiometry
  • snow

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  • Cite this

    Hallikainen, M., Vaaja, M., Seppänen, J., Praks, J., & Lemmetyinen, J. (2016). Snow on lake ice: Overview of a multiyear airborne radiometer data collection program and related modeling efforts. In Proceedings of the 14th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment, MicroRad 2016 (pp. 98-103). [7530513] IEEE. https://doi.org/10.1109/MICRORAD.2016.7530513