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@ARTICLE{Babaeian:820891,
      author       = {Babaeian, E. and Homaee, M. and Montzka, C. and Vereecken,
                      H. and Norouzi, A. A. and van Genuchten, M. Th.},
      title        = {{S}oil moisture prediction of bare soil profiles using
                      diffuse spectral reflectance information and vadose zone
                      flow modeling},
      journal      = {Remote sensing of environment},
      volume       = {187},
      issn         = {0034-4257},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2016-06155},
      pages        = {218 - 229},
      year         = {2016},
      abstract     = {Soil hydraulic property information of the vadose zone is
                      key to quantifying the temporal and spatial variability of
                      soil moisture, and for modeling water flow and contaminant
                      transport processes in the near surface. This study deals
                      with exploring the feasibility of using diffuse soil
                      spectral information in the visible, near-infrared and
                      shortwave infrared range (350–2500 nm) to estimate
                      coarse-scale soil hydraulic parameters and predict soil
                      moisture profiles using a topography-based aggregation
                      scheme in conjunction with a 1D mechanistic water flow
                      model. Three different types of parametric transfer
                      functions (so-called spectrotransfer functions, STFs;
                      pedotransfer functions, PTFs; and spectral pedotransfer
                      functions, SPTFs) were aggregated from the point scale to 1
                      km2 pixel size. to provide coarse scale estimates of van
                      Genuchten-Mualem (VGM) hydraulic parameters. The coarse
                      scale hydraulic parameters were evaluated by simulating soil
                      water dynamics of the 1 km2 pixels across the Zanjanrood
                      River sub-watershed (ZRS) in northwest Iran. Resultant soil
                      water states were compared with ground-truth measurements
                      and advanced synthetic aperture radar (ASAR) estimates of
                      soil water content. The topography-based aggregation scheme
                      was found to provide effective values of the VGM hydraulic
                      parameters across the ZRS study site. The coarse scale STFs
                      performed best in terms of simulating surface, near-surface
                      and subsurface soil water dynamics, followed by the coarse
                      scale SPTFs and PTFs, which performed similarly. The average
                      simulated soil water contents of the surface layer closely
                      correlated with ASAR estimates during relatively wet
                      periods. Simulated subsurface soil water dynamics matched
                      well with the ground-truth measurements. These findings
                      indicate the feasibility of using spectral data to predict
                      VGM hydraulic parameters and, ultimately, to predict soil
                      water dynamics at the larger scales.},
      cin          = {IBG-3},
      ddc          = {050},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {255 - Terrestrial Systems: From Observation to Prediction
                      (POF3-255)},
      pid          = {G:(DE-HGF)POF3-255},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000390494000016},
      doi          = {10.1016/j.rse.2016.10.029},
      url          = {https://juser.fz-juelich.de/record/820891},
}