REMOTELY SENSED DATA IN THE ENVIRONMENTAL FORECAST OF SOYBEAN IN DIFFERENT LATITUDES

The objective is to compare the influence of CO2Flux and gross primary production (GPP) in two municipalities in different regions of Brazil to no-till and verify the difference between environmental factors, followed by the trends of these variables regarding future scenarios (ARIMA time-series model number). A time series of 19 years was performed with data acquired by remote sensing from the following satellites: i) Landsat-8 (OLI and TIRS), and ii) TERRA/AQUA (MODIS). The results suggests that the spectro-temporal variables are directly influenced by soil management and agricultural activity over the observation time. Having a satisfactory correlation in future predictions of the variables for the next ten years, in which presented that the variation of GPP and albedo values for the two study sites would gradually increase until 2028 and CO2Flux tends to decrease in its seasonality, indicating a higher CO2 absorption.