@InProceedings{OliveiraSiViPrMoSa:2019:AnExDi,
               author = "Oliveira, Willian Vieira and Silva, Nildson Rodrigues de 
                         Fran{\c{c}}a e and Vieira, Denis Corte and Prudente, Victor Hugo 
                         Rohden and Moreira, Maur{\'{\i}}cio Alves 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)} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "An{\'a}lise da expans{\~a}o e din{\^a}mica da agricultura em 
                         piv{\^o}s centrais na microrregi{\~a}o de Barreiras/BA a partir 
                         da interpreta{\c{c}}{\~a}o de imagens Landsat-8/OLI",
            booktitle = "Anais...",
                 year = "2019",
               editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco 
                         and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
                pages = "1663--1666",
         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 = "Irriga{\c{c}}{\~a}o, piv{\^o} central, mapeamento 
                         agr{\'{\i}}cola, Irrigation, central pivot, agriculture 
                         mapping.",
             abstract = "A microrregi{\~a}o de Barreiras, situada no oeste do estado da 
                         Bahia, tem grande destaque no cen{\'a}rio agr{\'{\i}}cola 
                         nacional. Nesta regi{\~a}o, sistemas de irriga{\c{c}}{\~a}o 
                         s{\~a}o amplamente utilizados, principalmente em {\'a}reas de 
                         cultivo de soja, milho e algod{\~a}o herb{\'a}ceo, que s{\~a}o 
                         culturas comumente encontradas. O presente estudo tem por objetivo 
                         identificar e mapear {\'a}reas agr{\'{\i}}colas irrigadas por 
                         piv{\^o}s centrais na microrregi{\~a}o de Barreiras/BA para as 
                         safras 2013/14 e 2016/17, classificando-as em rela{\c{c}}{\~a}o 
                         aos cultivos de algod{\~a}o, caf{\'e} e soja. O mapeamento foi 
                         realizado a partir da interpreta{\c{c}}{\~a}o de s{\'e}ries 
                         temporais de imagens Landsat- 8/OLI, geradas a partir da 
                         plataforma Google Earth Engine, al{\'e}m da an{\'a}lise de 
                         perfis temporais de NDVI por meio da ferramenta SATVeg. A 
                         integra{\c{c}}{\~a}o de imagens de sat{\'e}lite e perfis 
                         temporais de NDVI, juntamente com a an{\'a}lise do 
                         calend{\'a}rio agr{\'{\i}}cola da regi{\~a}o, favoreceu a 
                         identifica{\c{c}}{\~a}o e a classifica{\c{c}}{\~a}o das 
                         culturas agr{\'{\i}}colas. ABSTRACT: The microregion of 
                         Barreiras, located in the western of the state of Bahia, has a 
                         prominent place in the national agricultural scenario. In this 
                         environment, irrigation systems are widely used, especially in 
                         areas where soybean, corn and herbaceous cotton are cultivated, 
                         which are some of the crops commonly found. In this context, this 
                         study aimed to identify and map agricultural areas irrigated by 
                         center pivots in the microregion of Barreiras in the 2013/2014 and 
                         2016/2017 crop harvests, classifying them in regards to cotton, 
                         coffee and soybean cultivation. The mapping was performed by the 
                         visual interpretation of LANDSAT-8/OLI image time series generated 
                         in the Google Earth Engine platform, and the analysis of NDVI 
                         temporal profiles using the SATVeg tool. The integration of 
                         satellite images and NDVI temporal profiles, along with the 
                         analysis of the region's agricultural calendar, favoured the 
                         identification and classification of the agricultural crops.",
  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/3TTTF5L",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3TTTF5L",
           targetfile = "97166.pdf",
                 type = "An{\'a}lise de s{\'e}ries temporais de imagens de 
                         sat{\'e}lite",
        urlaccessdate = "27 abr. 2024"
}