@InProceedings{RodriguesKörQueSalSil:2020:DeCePi,
               author = "Rodrigues, Marcos Lima and K{\"o}rting, Thales Sehn and Queiroz, 
                         Gilberto Ribeiro and Sales, Camila Pereira and Silva, Leoni 
                         Augusto Romain da",
          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)}",
                title = "Detecting center pivots in matopiba using hough transform and web 
                         time series service",
            booktitle = "Proceedings...",
                 year = "2020",
                pages = "189--194",
         organization = "IEEE Latin American GRSS; ISPRS Remote Sensing Conference",
            publisher = "IEEE",
             keywords = "Center pivots, Hough Transform, Landsat, MODIS, Time series.",
             abstract = "In the last decades, the Brazilian Cerrado biome has undergone 
                         major transformations due to the expansion of the agricultural 
                         frontier. The region called MATOPIBA acronym for states Maranhao, 
                         Tocantins, Piau ´\ı, and Bahia can be considered very 
                         attractive for agricultural expansion. The Cerrado predominates in 
                         the MATOPIBA region (91% of the area), also having small areas of 
                         the Amazon and Caatinga biomes to the northeast and east, 
                         respectively. In this work, we will present a study to identify 
                         center pivot irrigation systems in the MATOPIBA region using 
                         remote sensing images from Landsat-8 satellite. The methodology is 
                         based on the use of robust edge detection techniques such as 
                         Canny, Circular Hough Transform (CHT) and time series extraction 
                         through the Moderate Resolution Imaging Spectroradiometer (MODIS) 
                         product MOD13Q1 which has two vegetation indices NDVI and EVI. 
                         These time series will be used to filter the detected circles, 
                         seeking to eliminate the circles that do not correspond to center 
                         pivots. Our approach detected 80% of the center pivots mapped by 
                         the Brazilian National Water Agency (ANA) used as a knowledge 
                         base. The states with better detection were Piau´\ı and 
                         Bahia that showed the accuracy of 90% and 85% respectively, 
                         Maranhao obtained 57% and Tocantins 41%.",
  conference-location = "Santiago, Chile",
      conference-year = "21-26 Mar.",
                  doi = "10.1109/LAGIRS48042.2020.9165637",
                  url = "http://dx.doi.org/10.1109/LAGIRS48042.2020.9165637",
                 isbn = "978-172814350-7",
             language = "en",
           targetfile = "rodrigues_detecting.pdf",
        urlaccessdate = "28 abr. 2024"
}