@InProceedings{BarbozaRosaLazaJúni:2017:DeMaIn,
               author = "Barboza, Marcelo Rodrigo and Rosa, Rafael Antonio da Silva and 
                         Lazaro, Juliano Mota and J{\'u}nior, Jo{\~a}o Bosco Nogueira",
                title = "Detec{\c{c}}{\~a}o de mancha de inunda{\c{c}}{\~a}o abaixo da 
                         floresta utilizando a coer{\^e}ncia multi-temporal entre imagens 
                         SAR da banda P",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "3200--3207",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Because of Earth climate changes, big environment problems has 
                         occurred in different scales and with different consequences. One 
                         of them is the high variation in the level of rivers and water 
                         reservoirs, that makes the river monitoring a very relevant 
                         activity today. While southern Brazil has suffered with a low 
                         river levels, the opposite has ocurred in the north: big floods 
                         that have affected the local population and also the local fauna 
                         and flora. The use of SAR (synthetic aperture radar) seems 
                         appropriate for the monitoring of these rivers, as well as 
                         independence of atmospheric and lighting conditions, it has 
                         frequencies that cross the vegetation and acquires soil 
                         information below the forest. This is a factor of utmost 
                         importance since most of the time the flooding extends through the 
                         interior of the forest, making it impossible to be defined 
                         remotely by other sensors. The purpose of this work is to present 
                         a methodology capable of identifying and delimiting flooding below 
                         the forest using P-band SAR data, calculating the coherence 
                         between multitemporal images. Experimental tests were conducted 
                         using real SAR data obtained by the airborne sensor OrbiSAR-2 from 
                         Bradar in the Brazilian Amazon Forest (Equatorial Rain Forest) and 
                         the results showed very good quality detections.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59856",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLSGQ",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLSGQ",
           targetfile = "59856.pdf",
                 type = "Monitoramento e modelagem ambiental",
        urlaccessdate = "08 maio 2024"
}