@InProceedings{GiarollaBaetCecc:2010:NDMOSe,
               author = "Giarolla, Angelica and Baethgen, W. E and Ceccato, P",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         International Research Institute for Climate and Society (IRI), 
                         The Earth Institute, Columbia University, Lamont Campus, 
                         Palisades, New York, USA and International Research Institute for 
                         Climate and Society (IRI), The Earth Institute, Columbia 
                         University, Lamont Campus, Palisades, New York, USA",
                title = "NDVI (MODIS sensor) response to interannual variability of 
                         rainfall and evapotranspiration in a soybean producing region, 
                         southern Brazil",
                 year = "2010",
               editor = "Wagner W., Sz{\'e}kely, B.",
         organization = "International Society for Photogrammetry and Remote Sensing 
                         Symposium, (ISPRS).",
                 note = "{ISPRS TC VII Symposium – 100 Years ISPRS}",
             keywords = "soybean (Glycine Max, L. Merr), NDVI, remote sensing, water 
                         balance, GIS.",
             abstract = "This study aimed at evaluating the response of the Normalized 
                         Difference Vegetation Index - NDVI (MODIS sensor, TERRA satellite) 
                         of soybean to interannual variability of rainfall and 
                         evapotranspiration in Campos Gerais, a region of the state of 
                         Parana in southern Brazil. Landsat TM 5 and 7 images were selected 
                         for analyzing the spatial soybean field distribution for the 
                         region from 2000/01 to 2006/07 and to identify soybean fields. We 
                         then identified 175 pixels (250 x 250m) that contained only 
                         soybean fields (pure-pixels) based on the soybean maps obtained 
                         with the Landsat TM images. The next step was to extract the NDVI 
                         values for these soybean pure-pixels and to analyze the NDVI 
                         spectral curves considering the soybean phenology. Data from 
                         nearby meteorological stations were obtained and used to calculate 
                         the soil water balance for soybean fields in 5 locations 
                         distributed in the Campos Gerais region. To obtain actual 
                         evapotranspiration values, the water balance was calculated for 
                         each year, and for the same period covering the entire soybean 
                         growing season. Anomaly values were calculated for each year to 
                         verify the interannual rainfall variability. Linear regression 
                         models were adjusted between NDVI and i) rainfall and ii) actual 
                         evapotranspiration for all time series. Analysis of the evolution 
                         of NDVI values allowed identifying the soybean growing season 
                         (November to March) and also the dry season for this region 
                         according to rainfall anomaly values. Statistical analyses showed 
                         that actual evapotranspiration presented best agreement with 
                         soybean NDVI in relation to rainfall, probably due to the fact 
                         that this variable integrates information of rainfall, temperature 
                         and soil water holding capacity for the entire study period.",
  conference-location = "Vienna, Austria.",
      conference-year = "5–7July 2010",
             language = "en",
           targetfile = "RSAP-135.pdf",
               volume = "38 Part 7B",
        urlaccessdate = "25 abr. 2024"
}