@Article{RossatoJeuAlvaSouz:2011:EvSoMo,
               author = "Rossato, Luciana and de Jeu, R. and Alval{\'a}, Regina C{\'e}lia 
                         S. and Souza, Solange Silva de",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and Department 
                         of Hydrology and Geo-Environmental Sciences, Vrije Universiteit 
                         Amsterdam, Netherlands and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Evaluation of soil moisture from satellite observations over South 
                         America",
              journal = "International Journal of Remote Sensing",
                 year = "2011",
               volume = "32",
               number = "23",
                pages = "8013--8031",
                month = "Dec.",
             keywords = "soil moisture, satellite observations, South America.",
             abstract = "A study was performed to evaluate the surface soil moisture 
                         derived from Advanced Microwave Scanning Radiometer for the Earth 
                         Observing System (AMSR-E) sensor observations over South America. 
                         Other soil moisture and rainfall datasets were also used for the 
                         analysis. The information for the soil data came from the Eta 
                         regional climate model, and for the rainfall data from the 
                         Tropical Rainfall Microwave Mission (TRMM) satellite. Statistical 
                         analysis was used to evaluate the quality of the soil moisture and 
                         rainfall products, with estimates of the correlation coefficient 
                         (R), \χ2 and Cramer's phi (\φc). The results show high 
                         correlations (R > 0.8) of the AMSR-E soil moisture products with 
                         the Eta model for different regions of South America. Comparison 
                         of soil moisture products with rainfall datasets showed that the 
                         AMSR-E C-band soil moisture product was highly correlated with the 
                         TRMM satellite rainfall datasets, with the highest values of 
                         \χ2 and \φ. The results show that the AMSR-E C-band 
                         soil moisture products contain important information that can be 
                         used for various purposes, such as monitoring floods or droughts 
                         in arid areas or as input within the framework of an assimilation 
                         scheme of numerical weather prediction models.",
                  doi = "10.1080/01431161.2010.532169",
                  url = "http://dx.doi.org/10.1080/01431161.2010.532169",
                 issn = "0143-1161",
             language = "en",
        urlaccessdate = "12 maio 2024"
}