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The objective of this study was the carbon dioxide (CO2) spatiotemporal dynamics and related factors assessment during 2015–2018 in the state of Mato Grosso, Brazil. The data were obtained through a temporal series of remote data and multispectral imagery. We observed that forest areas converted to other land uses reached higher values, that characterize with sources, and those the highest and lowest average concentrations of CO2 are related to the dry and rainy months, respectively, for dry air mole fraction (XCO2) in the atmosphere, which might be the result of differences in the vertical resolution of the CO2 column and scale. Therefore, both XCO2 and CO2 flux are related land use and land cover changes (LULCC), looking at complex systems that are affected by climatic variables and processes, such as photosynthesis and soil respiration.
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