@InProceedings{SeixasBanColMorSan:2019:StPaTr,
               author = "Seixas, Hugo Tameir{\~a}o and Bandoria, Marcelo Cardoso da Silva 
                         and Coldibeli, Matheus Costa and Moraes, Elisabete Caria and 
                         Sanches, Ieda Del'Arco",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Study of the parameterization of trapezoidal model for surface 
                         moisture estimation",
            booktitle = "Anais...",
                 year = "2019",
               editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco 
                         and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
                pages = "2176--2179",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 19. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Orbital remote sensing, Soil moisture, Sentinel-2, OPTRAM.",
             abstract = "Soil moisture can be estimated by three approaches using remote 
                         sensing techniques, optical, thermal, and microwave methods. The 
                         use of optical methods has the advantage of relying only on data 
                         from optical sensors, which have high availability, high spatial 
                         and temporal resolution, and dont rely on field collected data. 
                         For example, the OPTRAM (Optical Trapezoid Model) is based on a 
                         linear relationship between soil moisture and a transformed 
                         short-wave infrared (STR) reflectance, and hypothetically requires 
                         only one parameterization for a region, and can be reproduced on 
                         different dates, being invariant to the time of data acquisition 
                         [1]. In this context, the objective of the present work is to 
                         evaluate different methods for the parameterization of the 
                         trapezoidal model to estimate soil moisture.",
  conference-location = "Santos",
      conference-year = "14-17 abril 2019",
                 isbn = "978-85-17-00097-3",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3UB2FFE",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3UB2FFE",
           targetfile = "97975.pdf",
                 type = "Solos e umidade do solo",
        urlaccessdate = "27 abr. 2024"
}