@Article{Bustamante-BecerraCarvOmet:2014:InRaSe,
               author = "Bustamante-Becerra, Jorge Alberto and Carvalho, Suzana and Ometto, 
                         Jean Pierre Henry Balbaud",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Influence of the rainfall seasonal variability in the Caatinga 
                         vegetation of NE Brazil by the use of time-series",
              journal = "Journal of Hyperspectral Remote Sensing",
                 year = "2014",
               volume = "04",
               number = "03",
                pages = "31--44",
             keywords = "Plant phenology of the Caatinga, Climatic Seasonality, Time 
                         Series.",
             abstract = "The climate in the Caatinga, especially precipitation, influences 
                         the pattern of spatial and temporal distribution of the vegetation 
                         that in turn influences the regional climate from the feedback 
                         mechanism of energy flows, water and momentum. This 
                         climate-vegetation interaction in the Caatinga is differentiated 
                         depending on the type of climatic pattern in the region. The 
                         objective of this work is to identify the main phenological 
                         features of the annual growth cycles of vegetation and 
                         characteristics of the seasonal rainfall in five climatic regions 
                         in the Caatinga biome. We use time series (2001-2008) of 
                         vegetation indices such as NDVI and LSWI, and precipitation that 
                         was derived of TRMM satellite data and surface station data. The 
                         results indicate that precipitation variability in the rainy 
                         season influences directly the variability of vegetation growing 
                         cycles. That influence is not linear but adjusted to a logarithmic 
                         function being the best fit with the index LSWI (r2 = 0.67) than 
                         with NDVI (r2 = 0.54). The influence of precipitation on 
                         vegetation, using phenological metrics such as start, end, peak 
                         and length of the vegetation growing cycles showed greater lag in 
                         climatic regions with higher precipitation in the Caatinga 
                         region.",
                 issn = "2237-2202",
                label = "lattes: 1325667605623244 3 
                         Bustamante-BecerraCarvOmet:2014:InRaSe",
             language = "en",
           targetfile = "Bustamante-Becerra_Influence.pdf",
                  url = "http://www.ufpe.br/jhrs",
        urlaccessdate = "27 abr. 2024"
}