NUK - logo
E-viri
Celotno besedilo
  • Evaluating the impact of ro...
    Fernandez-Moran, R.; Wigneron, J.-P; Lopez-Baeza, E.; Salgado-Hernanz, P. M.; Mialon, A.; Miernecki, M.; Alyaari, A.; Parrens, M.; Schwank, M.; Wang, S.; Coll-Pajaron, A.; Lawrence, H.; Kerr, Y. H.

    2014 IEEE Geoscience and Remote Sensing Symposium, 2014-July
    Conference Proceeding

    In this paper, roughness parameterizations providing best retrievals of soil moisture (SM) at L-band were evaluated. Different parameterizations were tested to find the best correlation R, bias and ubRMSE when comparing retrieved SM and in situ SM measurements carried out at the VAS (Valencia Anchor Station) over a vineyard field. Roughness measurements were always performed after the agricultural practices in the vineyard. These in situ data was used as input of the L-MEB (L-band Microwave Emission of the Biosphere) model, which permits the retrieval of SM and TAU (vegetation optical depth). In addition, a simplified method consisting on the retrieval of a parameter which combines the effects of roughness and TAU was tested. Significantly higher correlation (R=0.86) for SM was found using this method, while the absolute bias (-0.062) and RMSE (0.069) were slightly higher than for other roughness parameterizations.