Spatio-temporal variation of CO2 and solar-induced fluorescence from satellite data for the South Mato Grosso State

Abstract

Understanding the dynamics of carbon to detect sources and sinks in large areas, especially in agricultural or forested areas, is a challenge to be overcome. Recently, the use of remote sensing techniques has been an alternative in studies to evaluate carbon dynamics. Therefore, our objective will be to evaluate the spatiotemporal variation of atmospheric CO2 (XCO2) and solar-induced chlorophyll fluorescence (SIF) from satellite data for Mato Grosso do Sul state taking into account their biomes and macroregion eucalyptus producer. The study will be developed for the Três Lagoas region of Mato Grosso do Sul. A time series from 2014 to 2018 will be analyzed for the XCO2 and sun-induced fluorescence (SIF) data from the Orbit-2Carbon Observatory (OCO-2). For the detection of CO2 sources and sinks, geostatistical techniques such as Kriging and Weighted Point Interpolation - IDW will be used. The spatial variability of the evaluated variables will be determined by calculating and modeling the experimental variogram, based on the theory of regionalized variables and the principles of the intrinsic hypothesis. The CO2 anomalies will also be calculated using mathematical models to detect carbon sources and sinks. At the end of the study, some questions about the effect of cultivation of planted forests on atmospheric CO2concentrations and interactions with eucalyptus cultivation under tropical climate conditions are intended. (AU)