@InProceedings{DiasMachBelt:2023:AvUsÍn,
               author = "Dias, Yuri Alefh Saraiva and Machado, Fernanda Ferreira and 
                         Beltr{\~a}o, Norma Ely Santos",
          affiliation = "{Universidade do Estado do Par{\'a} (UEPA)} and {Universidade do 
                         Estado do Par{\'a} (UEPA)} and {Universidade do Estado do 
                         Par{\'a} (UEPA)}",
                title = "Avalia{\c{c}}{\~a}o do uso de {\'{\i}}ndices espectrais para 
                         mapeamento de cobertura da terra em {\'a}reas de 
                         minera{\c{c}}{\~a}o em Ipixuna do Par{\'a} (PA)",
            booktitle = "Anais...",
                 year = "2023",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de and Sanches, Ieda DelArco",
                pages = "e156436",
         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 = "NDVI, SAVI, NDBI, MNDWI.",
             abstract = "A mudan{\c{c}}a de cobertura da terra {\'e} o tema principal 
                         correlacionado a sustentabilidade ambiental. O estudo aplicado nas 
                         {\'a}reas de minera{\c{c}}{\~a}o, de Ipixuna do Par{\'a}, 
                         {\'e} importante para medir {\'{\i}}ndices de espectrais. O 
                         objetivo deste artigo foi analisar imagens Landsat entre 1991 a 
                         2021 e correlacionar os: {\'{\I}}ndice de Vegeta{\c{c}}{\~a}o 
                         por Diferen{\c{c}}a Normalizada (NDVI), {\'{\I}}ndice de 
                         Vegeta{\c{c}}{\~a}o Ajustado ao Solo (SAVI), {\'{\I}}ndice de 
                         Diferen{\c{c}}a Normalizada Edificada (NDBI) e o {\'{\I}}ndice 
                         de {\'A}gua por Diferen{\c{c}}a Normalizada (MNDWI), afim de 
                         classificar diferentes tipos de cobertura da terra. Analisou-se a 
                         classifica{\c{c}}{\~a}o supervisionada com algoritmo Random 
                         Forest, no Google Earth Engine (GEE). Os resultados revelaram 
                         diferentes mudan{\c{c}}as na cobertura da terra com diferentes 
                         valores, para cada {\'{\i}}ndice, com precis{\~a}o geral, das 
                         imagens classificadas, de entre 81% a 89%, respectivamente. Os 
                         resultados mostraram que esses {\'{\i}}ndices s{\~a}o 
                         confi{\'a}veis para mapear e monitorar as mudan{\c{c}}as de 
                         cobertura da terra no munic{\'{\i}}pio. ABSTRACT: Land cover 
                         change is the main theme correlated with environmental 
                         sustainability. The applied study in the mining areas of Ipixuna 
                         do Par{\'a} is important to measure spectral indices. The 
                         objective of this article was to analyze Landsat images between 
                         1991 and 2021 and to correlate the: Normalized Difference 
                         Vegetation Index (NDVI), Soil Adjusted Vegetation Index (SAVI), 
                         Edified Normalized Difference Index (NDBI) and the Water Index by 
                         Normalized Difference (MNDWI), in order to classify different 
                         types of land cover. The supervised classification was analyzed 
                         with Random Forest algorithm, in Google Earth Engine (GEE). The 
                         results revealed different changes in land cover with different 
                         values for each index, with overall accuracy of classified images 
                         ranging from 81% to 89%, respectively. The results showed that 
                         these indices are reliable for mapping and monitoring land cover 
                         changes in the municipality.",
  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/495HH9P",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/495HH9P",
           targetfile = "156436.pdf",
                 type = "An{\'a}lise de s{\'e}ries temporais de imagens de 
                         sat{\'e}lite",
        urlaccessdate = "14 maio 2024"
}