@InProceedings{RodríguezBroGraMonPal:2013:UsImSA,
               author = "Rodr{\'{\i}}guez, Leticia and Broggioni, Marco and Graciani, 
                         Silvio and Monella, Stefan{\'{\i}}a and Paloscia, Simonetta",
                title = "Uso de im{\'a}genes SAR Cosmo-Skymed para la determinaci{\'o}n 
                         de humedad del suelo",
            booktitle = "Anais...",
                 year = "2013",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "5729--5736",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 16. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Soil moisture-SM influences the redistribution of radiant energy, 
                         runoff generation, infiltration, and therefore, recharge. Knowing 
                         its spatial distribution is strategic for agricultural activities. 
                         In situ measurements of SM are time consuming, providing only 
                         point information. Synthetic aperture radar SAR images bring the 
                         possibility of estimating SM over extensive areas, with adequate 
                         spatial and temporal coverage. In this work, preliminary maps of 
                         SM were obtained by applying an Artificial Network Algorithm (ANN) 
                         in order to invert the values of the Advance Integral Equation 
                         Model (AIEM). Five X band SAR images from the satellite 
                         COSMO-SKYMED were processed and calibrated. Soil moisture was 
                         measured in situ by means of a TDR probe, samples were taken from 
                         the field for gravimetric water content determination. Days for 
                         field campaigns were performed as close as possible to the image 
                         days. The comparison between SM and backscattering values shows 
                         dispersion, in particular under very humid conditions. However, 
                         the multitemporal analysis showed increasing backscaterring values 
                         as SM increases, as expected. The application of the ANN algorithm 
                         showed consistency between field data and model simulated values. 
                         This work was developed in the State of Santa Fe, Argentina.",
  conference-location = "Foz do Igua{\c{c}}u",
      conference-year = "13-18 abr. 2013",
                 isbn = "{978-85-17-00066-9 (Internet)} and {978-85-17-00065-2 (DVD)}",
                label = "1674",
             language = "es",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW34M/3E7GMMJ",
                  url = "http://urlib.net/ibi/3ERPFQRTRW34M/3E7GMMJ",
           targetfile = "p1674.pdf",
                 type = "Hidrologia",
        urlaccessdate = "01 maio 2024"
}