SMOS prototype algorithm for detecting autumn soil freezing

Kimmo Rautiainen*, Tiina Parkkinen, Juha Lemmetyinen, Mike Schwank, Andreas Wiesmann, Jaakko Ikonen, Chris Derksen, Sergei Davydov, Anna Davydova, Julia Boike, Moritz Langer, Matthias Drusch, Jouni Pulliainen

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

A prototype algorithm for hemispheric scale detection of autumn soil freezing using space-borne L-band passive microwave observations is presented. The methodology is based on earlier empirical and theoretical studies of L-band emission properties of freezing and thawing soils. We expand a method originally developed for soil freeze-thaw (F/T) state detection from L-band tower based observations to satellite scale, applying observations from the European Space Agency's Soil Moisture and Ocean Salinity (SMOS) mission. The developed algorithm is based on first establishing spatially variable thresholds for L-band brightness temperatures representing frozen and thawed states of soil, and comparing these to current values of different indicators of soil freezing, calculated based on observed brightness temperature at different polarizations and incidence angles. An exponential relation between the freezing indicators and the depth of soil frost is developed based on a large amount of manual soil frost tube observations across Finland. An additional processing filter based on observed physical temperature and snow cover information is used to flag obvious F/T detection errors. The estimated soil F/T-states provided in this study are limited to the autumn freezing period, as melting snow in spring effectively prevents acquisition of information from the soil surface using microwaves for large areas in Northern latitudes. The F/T estimate is produced as daily information and provided in the equal-area scalable Earth (EASE) grid. Soil F/T-state is categorized into three discrete levels: 'frozen', 'partially frozen', and 'thawed', and accompanied with a quality data matrix estimating the data reliability for each freezing season separately. Comparisons to in situ data were conducted at 10 different locations in Finland, Northern America and Siberia. These comparison results indicate that the onset of autumn soil freezing can be estimated from SMOS observations to within 1 to 14 days, depending on the freezing indicator applied and the in situ data used in comparison. Although the initial results are encouraging, more comprehensive assessment of SMOS based soil F/T estimates still requires further comparison to other reference sites, particularly to sites with measurements available for all locally representative land cover types, as well as other satellite-based soil freezing products.

Original languageEnglish
Pages (from-to)346-360
Number of pages15
JournalRemote Sensing of Environment
Volume180
DOIs
Publication statusPublished - 1 Jul 2016
Externally publishedYes

Bibliographical note

Funding Information:
This research was supported by European Space Agency projects “SMOS + Innovation: Application of SMOS data for the characterization of the freeze/thaw cycle and the retrieval of permafrost information” (ESA contract 4000105184/12/I-BG ), “SMOS + Frost2 Study” (ESA contract 4000110973/14/NL/FF/lf ), and the Finnish Academy Centre of Excellence in Atmospheric Science ( 272041 ). The authors would also like to thank the data providers: The Finnish Environment Institute (SYKE) for providing frost tube observation network data, International Soil Moisture Network (ISMN) and Natural Resources Conservation Service (NRCS) for providing SNOTEL data. SMOS data were obtained from the “Centre Aval de Traitement des Données SMOS” (CATDS), operated for the “Centre National d'Etudes Spatiales” (CNES, France) by IFREMER (Brest, France).

Publisher Copyright:
© 2016 The Authors.

Keywords

  • Microwave radiometry
  • SMOS
  • Soil freeze/thaw

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