Climate neutrality is now a highly debated issue. One of the research directions within this topic is to reveal the relationship between Land Use Land Cover (LULC) structure and carbon balance of the territory. A number of spatial modelling tools have been developed for this purpose, among which InVEST model seems to provide the most accurate assessments for urbogeosystems. The main problem that arises when using the InVEST model is the insufficiency of data available to researchers. This study aims to show the solutions of this problem using remote sensing data. The results obtained indicate that remote sensing data can provide enough information for LULC identification. Taking in account the spatial resolution of open-source remote sensing data, Sentinel-2 mission seems to be the best data source. Aboveground biomass can be estimated using LiDAR Global Ecosystem Dynamics Survey (GEDI) satellite data. However, remote sensing data alone is insufficient to provide accurate information on carbon stored in different pools. Thus, field research and/or literature sources are still needed.
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