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@Article{JesusRibKupSouGam:2019:StAnSp,
               author = "Jesus, Janisson Batista de and Ribeiro, Mariana Muzitani and 
                         Kuplich, Tatiana Mora and Souza, Bruno Barros de and Gama, 
                         Dr{\'a}uzio Correia",
          affiliation = "{Universidade Federal do Rio Grande do Sul (UFRGS)} and 
                         {Universidade Federal do Rio Grande do Sul (UFRGS)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Universidade Estadual 
                         da Bahia (UEBA)} and {Universidade Estadual do Sudoeste da 
                         Bahia}",
                title = "Statistical analysis of spatial relationship of caatinga and 
                         physiographic factors using remote sensing data",
              journal = "Floresta",
                 year = "2019",
               volume = "49",
               number = "4",
                pages = "755--762",
             keywords = "floresta seca, NDVI, sensoriamento remoto, m{\'u}ltiplas 
                         vari{\'a}veis, dry forest, NDVI, remote sensing, multiple 
                         variables.",
             abstract = "An{\'a}lise estat{\'{\i}}stica da rela{\c{c}}{\~a}o espacial 
                         da caatinga e fatores fisiogr{\'a}ficos atrav{\'e}s de dados 
                         remotos. A caatinga {\'e} caracter{\'{\i}}stica do 
                         semi{\'a}rido do Brasil, de significativa abrang{\^e}ncia no 
                         nordeste do pa{\'{\i}}s e, por isso, t{\'e}cnicas de 
                         geoprocessamento e estat{\'{\i}}stica podem ser importantes 
                         ferramentas para analisar os fatores ambientais associados a sua 
                         distribui{\c{c}}{\~a}o. O presente estudo teve o objetivo de 
                         analisar a rela{\c{c}}{\~a}o da: altimetria, declividade, tipo 
                         de solo e proximidade do rio na distribui{\c{c}}{\~a}o espacial 
                         da vegeta{\c{c}}{\~a}o de caatinga, utilizando uma base de dados 
                         gerada por t{\'e}cnicas de geoprocessamento. Foi utilizado o 
                         NDVI, e a an{\'a}lise estat{\'{\i}}stica foi baseada na 
                         regress{\~a}o m{\'u}ltipla e a correla{\c{c}}{\~a}o de 
                         Pearson. Os resultados mostram que a esta{\c{c}}{\~a}o 
                         clim{\'a}tica {\'e} a {\'u}nica vari{\'a}vel que apresentou um 
                         coeficiente de determina{\c{c}}{\~a}o alto com a 
                         vegeta{\c{c}}{\~a}o de caatinga (R2 = 0,956), enquanto as demais 
                         vari{\'a}veis independentes tem fraca ou inexistente 
                         correla{\c{c}}{\~a}o. As t{\'e}cnicas de geoprocessamento 
                         permitiram observar que a Caatinga tem uma 
                         distribui{\c{c}}{\~a}o espacial generalista de ocorr{\^e}ncia, 
                         n{\~a}o tendo um padr{\~a}o definido. ABSTRACT: The caatinga is 
                         characteristic of the semi-arid region of Brazil, of significant 
                         coverage in the northeast of the country and, therefore, 
                         geoprocessing and statistical techniques can be important tools to 
                         analyze the environmental factors associated with its 
                         distribution. The present study had the objective of analyzing the 
                         relationship of: altimetry, slope, soil type and river proximity 
                         in the spatial distribution of the caatinga vegetation, using a 
                         database generated by geoprocessing techniques. NDVI was used, and 
                         statistical analysis was based on multiple regression and 
                         Pearson's correlation. The results show that the weather station 
                         is the only variable that presented a high determination 
                         coefficient with the caatinga vegetation (R2 = 0.956), while the 
                         other independent variables have weak or nonexistent correlation. 
                         With the techniques of geoprocessing was allowed to observe that 
                         the Caatinga has a generalist spatial distribution of occurrence, 
                         not having a defined pattern.",
                 issn = "0015-3826",
                label = "lattes: 8997858562195060 3 JesusRibKupSouGam:2019:StAnSp",
             language = "pt",
           targetfile = "jesus_statistical.pdf",
        urlaccessdate = "13 abr. 2021"
}


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