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@Article{SilvaPASSSAFBS:2019:ClAnIn,
               author = "Silva, Vilena Aparecida Ribeiro and Portela, Larissa Brand{\~a}o 
                         and Almeida, Juliana Lopes and Silva J{\'u}nior, Celso Henrique 
                         Leite and Santos, Juliana Sales dos and Santos, Jessflan Rafael 
                         Nascimento and Araujo, Mayara Lucyanne Santos de and Feitosa, 
                         Francisco Emenson Carpegiane Silva and Bezerra, C{\'{\i}}cero 
                         Wellington Brito and Silva, Fabr{\'{\i}}cio Brito",
          affiliation = "Instituto Federal de Educa{\c{c}}{\~a}o, Ci{\^e}ncia e 
                         Tecnologia do Maranh{\~a}o and {Universidade Federal do 
                         Maranh{\~a}o (UFMA)} and {Universidade CEUMA} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Universidade CEUMA} 
                         and {Universidade CEUMA} and {Universidade Federal de Campina 
                         Grande (UFCG)} and {Universidade CEUMA} and {Universidade Federal 
                         do Maranh{\~a}o (UFMA)} and {Universidade CEUMA}",
                title = "Climatic and Anthropic Influence on the Geodiversity of the 
                         Maranh{\~a}o Amazon Floodplain",
              journal = "Journal of Agricultural Science",
                 year = "2019",
               volume = "11",
                pages = "105",
             keywords = "deforestation, fires, NDVI, Pinheiro, Ramsar, remote sensing.",
             abstract = "The Maranhense Amazon floodplain shelters a Ramsar site 
                         established by the United Nations for the protection of wetland 
                         biodiversity. Despite its protected ecological status, the impacts 
                         from deforestation, burning, the agricultural and livestock 
                         industries, are on the rise. Knowledge of the spatial distribution 
                         and temporal dynamics of these impacts are important to improve 
                         the understanding of how this region is affected. Data on 
                         increasing deforestation and hot pixels were used to evaluate the 
                         anthropogenic pressure under the geodiversity of the region, 
                         relating them to the environmental variables (rainfall, Normalized 
                         Difference Vegetation Index and Deforestation annual deforestation 
                         rate) measured through the rainfall data and the Normalized 
                         Difference Vegetation Index (NDVI). In this study, the potential 
                         of remote sensing and geographic information system. The time 
                         series were used from 2001 to 2016 for all variables. We observed 
                         a strong negative and significant correlation between hot pixels 
                         and NDVI, while hot pixels increase, the vegetation indexes tend 
                         to decrease. In 2006 an abrupt fall in the NDVI occurred due to 
                         the marked increase in the deforested area. In 2010, the NDVI 
                         reached its highest levels, because the vegetation responded to 
                         the highest rainfall observed in the period in 2009. Unit 4 
                         presented the highest pixels number in the period evaluated (2,978 
                         pixels; 55% of the total). There is a significant correlation 
                         between NDVI and rainfall.",
                  doi = "10.5539/jas.v11n18p105",
                  url = "http://dx.doi.org/10.5539/jas.v11n18p105",
                 issn = "0021-8596",
                label = "lattes: 0506851271452550 4 SilvaPASSSAFBS:2019:ClAnIn",
             language = "en",
           targetfile = "silva_climatic.pdf",
                  url = "http://www.ccsenet.org/journal/index.php/jas/article/view/0/41206",
        urlaccessdate = "27 abr. 2024"
}


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