Carbon neutrality requires carbon emissions to be offset by carbon sequestration to achieve net zero emissions. As a key component of carbon sequestration ecosystems, terrestrial vegetation (woodland, grassland, farmland) is essential for increasing the share of carbon sequestration and regulating global climate change. However, the existing studies mainly focus on the interaction mechanism between carbon reduction and carbon sequestration, and only a few of them focus on the prediction of carbon sequestration targets and output assessment of vegetation. The scope of analysis of such studies is limited to the national, provincial, or municipal level. At the national and provincial levels, the literature has analyzed the timing and total amount of carbon peak in China, and these differences are basically due to the scale and methodology of the carbon sequestration projections. There are clear differences in the amount of vegetation carbon sequestration among different counties within the same province or municipal jurisdiction. This suggests that the vegetation carbon sequestration data at the county and district levels are rich in reference information and research value. Therefore, it is of great practical significance to focus on the district and county levels to make more accurate forecasts of vegetation carbon sequestration to capture regional heterogeneity and to formulate targeted carbon sequestration and emission reduction policies; at the same time, it helps to deepen the scale level and analytical depth of the previous sequestration forecasting studies; Based on the predicted data of vegetation carbon sequestration at district and county levels, it is helpful for decision makers to assess in advance the characteristics and fluctuation trends of future vegetation carbon sequestration, to provide scientific intervention and guidance for the achievement of the goal of carbon peaking and carbon neutrality. Combined with the inherent advantages of satellite remote sensing products and data characteristics, the forecasting work in this chapter contributes to the development and broadening of the functionality and application of remote sensing datasets for carbon sequestration in terrestrial vegetation.