@InProceedings{SantosBoriRoquMaua:2023:ClInVe,
               author = "Santos, Allita Rezende dos and Borille, Talysson and Roque, 
                         Rhayane Carvalho and Mauad, Frederico F{\'a}bio",
          affiliation = "{Universidade de S{\~a}o Paulo (USP)} and {Universidade de 
                         S{\~a}o Paulo (USP)} and {Universidade de S{\~a}o Paulo (USP)} 
                         and {Universidade de S{\~a}o Paulo (USP)}",
                title = "Classifica{\c{c}}{\~a}o InSAR da vegeta{\c{c}}{\~a}o nativa no 
                         uso e cobertura do solo em {\'a}reas de trani{\c{c}}{\~a}o 
                         Cerrado/Mata Atl{\^a}ntica",
            booktitle = "Anais...",
                 year = "2023",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de and Sanches, Ieda DelArco",
                pages = "e156138",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 20. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Interferometria, Sensoriamento Remoto, Uso e Cobertura da terra, 
                         Coer{\^e}ncia Interferom{\'e}trica, Cerrado, Interferometry, 
                         Remote Sensing, land use and land cover, interferometric 
                         coherence, Cerrado.",
             abstract = "Os sensores de micro-ondas, entre eles os Radares de Abertura 
                         Sint{\'e}tica (SAR) podem observar a superf{\'{\i}}cie da terra 
                         independentemente de nuvens, escurid{\~a}o e 
                         precipita{\c{c}}{\~a}o. O objetivo desse trabalho {\'e} avaliar 
                         o potencial das imagens de coer{\^e}ncia interferom{\'e}trica 
                         para discriminar a classe da vegeta{\c{c}}{\~a}o nativa em 
                         {\'a}reas de transi{\c{c}}{\~a}o Cerrado/Mata Atl{\^a}ntica. 
                         Para avaliar o potencial InSAR na classifica{\c{c}}{\~a}o do uso 
                         e cobertura do solo nessas {\'a}reas foram realizadas as 
                         classifica{\c{c}}{\~o}es C1, C2 e C3. O modelo utilizado neste 
                         trabalho pode ser empregado para estudos de gest{\~a}o de 
                         territ{\'o}rio e sustentabilidade de bacias hidrogr{\'a}ficas. 
                         ABSTRACT: Microwave sensors, among them Synthetic Aperture Radars 
                         (SAR) can observe the earth's surface regardless of clouds, 
                         darkness, and precipitation. The objective of this work is to 
                         evaluate the potential of interferometric coherence imagery to 
                         discriminate native vegetation class in Cerrado/Atlantic Forest 
                         transition areas. To evaluate the InSAR potential in the 
                         classification of land use and land cover in these areas, C1, C2 
                         and C3 classifications were performed. The model used in this work 
                         can be employed for land management and watershed sustainability 
                         studies.",
  conference-location = "Florian{\'o}polis",
      conference-year = "02-05 abril 2023",
                 isbn = "978-65-89159-04-9",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/48TREDP",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/48TREDP",
           targetfile = "156138.pdf",
                 type = "Sensoriamento remoto de microondas",
        urlaccessdate = "29 jun. 2024"
}