Multiple studies demonstrate that high-resolution land use projections can be successfully modeled by integrating socioeconomic pathways and climate scenarios.
The retrieved literature consistently shows that researchers use Shared Socioeconomic Pathways (SSPs) and climate scenarios (such as RCPs) combined with high-resolution remote sensing and machine learning techniques to model future land use and land cover changes. All relevant papers support the claim, and none refute it.