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@ARTICLE{Konings:280327,
      author       = {Konings, Alexandra G. and Piles, María and Rötzer,
                      Kathrina and McColl, Kaighin A. and Chan, Steven K. and
                      Entekhabi, Dara},
      title        = {{V}egetation optical depth and scattering albedo retrieval
                      using time series of dual-polarized {L}-band radiometer
                      observations},
      journal      = {Remote sensing of environment},
      volume       = {172},
      issn         = {0034-4257},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2016-00111},
      pages        = {178 - 189},
      year         = {2016},
      abstract     = {Passive microwave measurements have the potential to
                      estimate vegetation optical depth (VOD), an indicator of
                      aboveground vegetation water content. They are also
                      sensitive to the vegetation scattering albedo and soil
                      moisture. In this work, we propose a novel algorithm to
                      retrieve VOD and soil moisture from time series of
                      dual-polarized L-band radiometric observations along with
                      time-invariant scattering albedo. The method takes advantage
                      of the relatively slow temporal dynamics of early morning
                      vegetation water content and combines a number of
                      consecutive observations to estimate a single VOD. It is
                      termed the multi-temporal dual channel algorithm (MT-DCA).
                      The soil dielectric constant (directly related to soil
                      moisture) of each observation is also retrieved
                      simultaneously. Additionally, the method retrieves a
                      constant albedo, thereby providing for the first time
                      information on global single-scattering albedo variations.
                      The algorithm is tested using three years of L-band passive
                      observations from the NASA Aquarius sensor. The global VOD
                      distribution follows expected gradients of climate and
                      canopy biomass conditions. Its seasonal dynamics follow
                      expected behavior based on precipitation and land cover. The
                      retrieved VOD is closely related to coincident
                      cross-polarized backscatter coefficients. The VOD and
                      dielectric retrievals from MT-DCA are compared to those
                      obtained from implementing the commonly used Land Parameter
                      Retrieval Model (LPRM) algorithm and shown to have less
                      high-frequency noise. There is almost as much variation in
                      MT-DCA retrieved albedo between pixels of a given land cover
                      class than between land cover classes, suggesting the common
                      approach of assigning albedo based on land cover class may
                      not capture its spatial variability. Globally, albedo
                      appears to be primarily sensitive to woody biomass. The
                      proposed algorithm allows for a more accurate accounting of
                      the effects of vegetation on radiometric soil moisture
                      retrievals, and generates new observations of L-band VOD and
                      effective single-scattering albedo. These new datasets are
                      complementary to existing remotely sensed vegetation
                      measurements such as fluorescence and optical-infrared
                      indices.},
      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:000366764500014},
      doi          = {10.1016/j.rse.2015.11.009},
      url          = {https://juser.fz-juelich.de/record/280327},
}