@InProceedings{ToanMerBouVilPol:2017:ApAmRe,
               author = "Toan, Thuy Le and Mermoz, Stephane and Bouvet, Alexandre and 
                         Villard, Ludovic and Polidori, Laurent",
                title = "Monitoring of tropical forests using SAR data - Application to the 
                         Amazon region",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "8076--8085",
         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 the importance role in the land use carbon emissions of 
                         tropical forests in general, and of the Amazon forest in 
                         particular, observing systems are needed for monitoring 
                         deforestation and for estimating forest biomass. Up to now, the 
                         existing monitoring programs rely mostly on optical remote 
                         sensing. With the recent and forthcoming availability of open and 
                         systematic SAR data, there is a need to assess the contribution of 
                         SAR data in observing systems. This paper examines the use of SAR 
                         data to observe Amazon forests, e.g. Sentinel-1 data for 
                         deforestation monitoring, ALOS PALSAR data for biomass retrieval 
                         in the Cerrado, and the future BIOMASS data for measuring the high 
                         range of biomass in dense rain forests. The promising results 
                         indicate that SAR data can be integrated in current monitoring 
                         programs.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59380",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMGTT",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMGTT",
           targetfile = "59380.pdf",
                 type = "Floresta e outros tipos de vegeta{\c{c}}{\~a}o",
        urlaccessdate = "27 abr. 2024"
}