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@ARTICLE{Hasan:153465,
      author       = {Hasan, Sayeh and Montzka, Carsten and Rüdiger, Christoph
                      and Ali, Muhammed and Bogena, Heye and Vereecken, Harry},
      title        = {{S}oil moisture retrieval from airborne {L}-band passive
                      microwave using high resolution multispectral data},
      journal      = {ISPRS journal of photogrammetry and remote sensing},
      volume       = {91},
      issn         = {0924-2716},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier},
      reportid     = {FZJ-2014-03063},
      pages        = {59 - 71},
      year         = {2014},
      abstract     = {For the soil moisture retrieval from passive microwave
                      sensors, such as ESA’s Soil Moisture and Ocean Salinity
                      (SMOS) and the NASA Soil Moisture Active and Passive (SMAP)
                      mission, a good knowledge about the vegetation
                      characteristics is indispensable. Vegetation cover is a
                      principal factor in the attenuation, scattering and
                      absorption of the microwave emissions from the soil; and has
                      a direct impact on the brightness temperature by way of its
                      canopy emissions. Here, brightness temperatures were
                      measured at three altitudes across the TERENO (Terrestrial
                      Environmental Observatories) Rur catchment site in Germany
                      to achieve a range of spatial resolutions using the airborne
                      Polarimetric L-band Multibeam Radiometer 2 (PLMR2). The
                      L-band Microwave Emission of the Biosphere (L-MEB) model
                      which simulates microwave emissions from the
                      soil–vegetation layer at L-band was used to retrieve
                      surface soil moisture for all resolutions. A Monte Carlo
                      approach was developed to simultaneously estimate soil
                      moisture and the vegetation parameter b’ describing the
                      relationship between the optical thickness τ and the Leaf
                      Area Index (LAI). LAI was retrieved from multispectral
                      RapidEye imagery and the plant specific vegetation parameter
                      b′ was estimated from the lowest flight altitude data for
                      crop, grass, coniferous forest, and deciduous forest. Mean
                      values of b’ were found to be 0.18, 0.07, 0.26 and 0.23,
                      respectively. By assigning the estimated b′ to higher
                      flight altitude data sets, a high accuracy soil moisture
                      retrieval was achieved with a Root Mean Square Difference
                      (RMSD) of 0.035 m3 m−3 when compared to ground-based
                      measurements.},
      cin          = {IBG-3},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {246 - Modelling and Monitoring Terrestrial Systems: Methods
                      and Technologies (POF2-246) / 255 - Terrestrial Systems:
                      From Observation to Prediction (POF3-255)},
      pid          = {G:(DE-HGF)POF2-246 / G:(DE-HGF)POF3-255},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000335104700005},
      doi          = {10.1016/j.isprsjprs.2014.02.005},
      url          = {https://juser.fz-juelich.de/record/153465},
}