English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

O objetivo desse estudo e analisar a variabilidade media do indice de vegetacao por diferenca normalizada (IVDN) e compreender sua relacao com o regime pluviometrico do estado da Paraiba durante o periodo de 2007 a 2009. Foram utilizados totais mensais de precipitacao de 30 estacoes pluviometricas distribuidas no Estado, num total de cinco municipios em cada regiao homogenea de precipitacao. Utilizaram-se composicoes mensais do IVDN obtidas a partir do sensor MODIS/Aqua para o mesmo periodo. A seguir, utilizou-se a tecnica estatistica dos minimos quadrados para encontrar uma equacao que melhor se ajustasse aos dados. Constatou-se que as regioes de menor variabilidade do IVDN apresentaram as melhores correlacoes (r) polinomiais do segundo grau entre o IVDN e a chuva para um nivel de significância α = 0,01. Em todas as regioes as correlacoes foram superiores a 0,79. O menor erro padrao percentual da estimativa foi obtido na Zona da Mata e Litoral (8,79%) onde as chuvas sao mais regulares com menor variabilidade do indice de vegetacao. Nas demais regioes o erro percentual padrao da estimativa (EPPE) oscilou de 10,14 a 16,78%. O modelo polinomial de segundo grau foi utilizado para estimar o IVDN usando dados de precipitacao do ano de 2005, o EPPE oscilou de 12,89 a 26,11% evidenciando que o modelo representa bem o comportamento do IVDN em funcao das chuvas. Normal 0 21 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Tabela normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Times New Roman","serif"; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; color:black; mso-themecolor:text1; mso-ansi-language:EN-US; mso-fareast-language:EN-US;} ABSTRACT This study aims to analyse the variability of the Normalized Deferential Vegetation Index mean (NDVI) and its relationship between to precipitation and NDVI index at Paraiba state during 2007-2009. The precipitation data are from 30 rain gauges spacially distributed at Paraiba region in a total of five county by homogeneous region, whereas the NDVI were inferred using the sensor MODIS on board the Aqua satellite. Was applied the method of least squares to find the relationship that best represents the behavior of NDVI depending on rainfall. Was found that regions with low variability of NDVI showed the best correlation (r) second degree polynomial between NDVI and rainfall for a significance level α=0.01. The analysis between precipitation and NDVI have a high correlation (r >0.79) for all regions evaluated. The lowest Standard Error Percentage of the Estimate was obtained at Coastal region (8.79%) where rains are more regular with less variability in the vegetation index. In the remaining areas of estimate (EPPE) percentage error ranged from 10.14 to 16.78%. The second degree polynomial model was used to estimate NDVI using rainfall data of 2005 and the EPPE ranged from 12.89 to 26.11% showing that the model represents well the behavior of NDVI depending on rainfall.

revista brasileira de geografia física

Sazonalidade da Vegetação em Função do Regime Pluviométrico no Estado da Paraíba (Sazonality of the Vegetation as a Function of the Rainfall Regime in the Paraíba State)