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@INPROCEEDINGS{Mengen:905198,
      author       = {Mengen, David and Montzka, C. and Jagdhuber, T. and
                      Fluhrer, A. and Brogi, C. and Baum, S. and Schuettemeyer, D.
                      and Bayat, B. and Bogena, H. and Coccia, A. and Masalias, G.
                      and Trinkel, V. and Jakobi, J. and Jonard, F. and Ma,
                      Yueling and Mattia, F. and Palmisano, D. and Rascher, U. and
                      Satalino, G. and Maike, Schuhmacher and Koyama, C. and
                      Schmidt, Marius and Vereecken, H.},
      title        = {{T}he {SARS}ense campaign: {A} dataset for comparing {C}-
                      and {L}-band {SAR} backscattering behaviour to changes of
                      soil and plant parameters in agricultural areas},
      reportid     = {FZJ-2022-00481},
      year         = {2021},
      abstract     = {<p>With the upcoming L-band Synthetic Aperture Radar (SAR)
                      satellite mission Radar Observing System for Europe at
                      L-band (ROSE-L) and its combination with existing C-band
                      satellite missions such as Sentinel-1, multi-frequency SAR
                      observations with high temporal and spatial resolution will
                      become available. To investigate the potential for
                      estimating soil and plant parameters, the SARSense campaign
                      was conducted between June and August 2019 at the
                      agricultural test site Selhausen in Germany. In this regard,
                      we introduce a new publicly available, extensive SAR dataset
                      and present a first analysis of C- and L-band co- and
                      cross-polarized backscattering signals regarding their
                      sensitivity to soil and plant parameters. The analysis
                      includes C- and L-band airborne recordings as well as
                      Senitnel-1 and ALOS-2 acquisitions, accompanied by in-situ
                      soil moisture measurements and plant samplings. In addition,
                      soil moisture was measured using cosmic-ray neutron sensing
                      as well as unmanned aerial system (UAS) based multispectral
                      and temperature measurements were taken during the campaign
                      period. First analysis of the dataset revealed, that due to
                      misalignments of corner reflectors during the SAR
                      acquisition, temporal consistency of airborne SAR data is
                      not given. In this regard, a scene-based, spatial analysis
                      of backscatter behaviour from airborne SAR data was
                      conducted, while the spaceborne SAR data enabled the
                      analysis of temporal changes in backscatter behaviour.
                      Focusing on root crops with radial canopy structure (sugar
                      beet and potato) and cereal crops with elongated canopy
                      structure (wheat, barley), the lowest correlations can be
                      observed between backscattering signal and soil moisture,
                      with $R\&#178;$ values ranging below 0.35 at C-band and
                      below 0.36 at L-band. Higher correlations can be observed
                      focusing on vegetation water content, with $R\&#178;$ values
                      ranging between 0.12 and 0.64 at C-band and 0.06 and 0.64 at
                      L-band. Regarding plant height, at C-band higher
                      correlations with $R\&#178;$ up to 0.55 can be seen compared
                      to $R\&#178;$ up to 0.36 at L-band. Looking at the
                      individual agricultural corps in more detail, in almost all
                      cases, the backscatter signals of C- and L-band contain a
                      different amount of information about the soil and plant
                      parameters, indicating that a multi-frequency approach is
                      envisaged to disentangle soil and plant contributions to the
                      signal and to identify specific scattering mechanisms
                      related to the crop type, especially related to the
                      different characteristics of root crops and cereals.</p>},
      month         = {Apr},
      date          = {2021-04-19},
      organization  = {European Geosciences Union (EGU),
                       Vienna (Austria), 19 Apr 2021 - 30 Apr
                       2021},
      subtyp        = {Invited},
      cin          = {IBG-3},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {2173 - Agro-biogeosystems: controls, feedbacks and impact
                      (POF4-217)},
      pid          = {G:(DE-HGF)POF4-2173},
      typ          = {PUB:(DE-HGF)6},
      doi          = {10.5194/egusphere-egu21-1351},
      url          = {https://juser.fz-juelich.de/record/905198},
}