Mapping carbon–thermal environments for comprehending real-time scenarios

Urbanization and land cover change (LCC) drive carbon emission, which in turn contributes to a substantial rise of about 1 °C in the global average surface temperature. Conducting a crucial study of carbon emissions (CEs) and land surface temperature (LST) change is vital for reducing global warming below 1.5 °C to avoid extreme events on cities, resources, and ecosystems. This study examines connections between land cover (LC), CE, and LST. Hotspot mapping pinpoints CE hotspots on LC types with spatial clustering. LST depicts gradual temperature rise for each LC. Eventually, the notational rubric method compares real-time situations involving CE and LST in composite carbon–thermal emission and absorption map. The solutions provided in the rubric are situation-based and nature-centric. This study presents novel mapping method of composite CE and absorption map by combining both land cover emissions and absorptions and fossil fuel emissions. Development of relational rubric gives an integrated approach to understand complex relationship between LCC CE and surface temperature.