@InProceedings{BarbosaSetz:1998:SpAnNO,
               author = "Barbosa, Humberto A. and Setzer, Alberto Waingort",
          affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Spatial-temporal analysis NOAA/AVHRR vegetation index and rainfall 
                         in the northeast region of Brazil in 1982-85",
            booktitle = "Proceedings...",
                 year = "1998",
               editor = "E. T., Engman",
                pages = "176--186",
         organization = "Conference on Remote Sensing for Agriculture, Ecosystems and 
                         Hydrology. (EUROPTO).",
            publisher = "SPIE",
              address = "Bellingham, WA",
             keywords = "Climate change, Correlation methods, Drought, Radiometry, Rain, 
                         Rain gages, Vegetation, Advanced very high resolution radiometry 
                         (AVHRR), Normalized difference vegetation index (NDVI), Rain 
                         greenness ration (RGR).",
             abstract = "This work analyzes the spatial and temporal variation of 
                         Normalized Difference Vegetation Index (NDVI)and rainfall in the 
                         Northeast region of Brazil (NEB), between 1 degree to 18 degree S 
                         and 35 degree to 470W. Studied were the dry years of 1982 and 1983 
                         and the rainy years of 1984 and 1985, covering the intense El 
                         Niflo-Southem Oscillation (ENSO)event of 1982-83. Ten test-areas 
                         representing prevailing and different phitophysiognornies of the 
                         region were used for temporal analysis. The spatial analysis was 
                         based on a grid of 5,571 rainfall data points spaced by 0,25 
                         degree in latitude and longitude, interpolated from the original 
                         rain-gauge measurements. In relation to previous NEB studies, the 
                         subdivision of the vegetation in classes and the use of 
                         correlations with time lags were introduced. The results showed 
                         that: i)NDVI and rainfall monthly data follow similar patterns on 
                         a temporal and spatial basis, being statistically correlated where 
                         the NDVI can depict the rainfall regime in periods of unusual 
                         droughts or rain in NEB; H)the best correlation was found between 
                         the combined rainfall of two consecutive months with the NDVI of 
                         the latter these two months; W)there was also an NDVI increase in 
                         the rainy season for the extremely dry year of 1983; iv)NDVI and 
                         rainfall better represented the vegetation hydric potential in the 
                         form of a ratio, or Rain Greenness Ration (RGR), rather than 
                         separately, and; v)the largest NDVI variation occurred for the 
                         urban areas class. Thf results indicate the potential use of 
                         satellite NDVI imagery to monitor drought occurrences as well as 
                         to study climatic variability on a regional scale.",
  conference-location = "Barcelona",
      conference-year = "20-27 Sept. 1998",
                 isbn = "0277786X",
                label = "8465",
             language = "en",
           targetfile = "INPE 7157.pdf",
               volume = "SPIE - 3499",
        urlaccessdate = "2024, May 03"
}