The biophysical effect of agriculture-residue based fire through excessive release of energy and carbonaceous aerosols essentially unaccounted globally. Elucidating climate feedback from residue-based fire however, remain pertinent as energy released from fire pose potential to modify land surface temperature (LST) thereby, regional climate. Here, an observation-driven assessment of spatial change in LST due to concurrent release of energy and aerosols has been explored over northwest India using multiple satellite and reanalysis-based datasets. Initially, year-specific fire pixel density was computed to identify intensive fire zone encompassing only medium to large fire. Spatial analysis revealed positive correlation among FRP (fire radiative power), LST and AOD (aerosol optical depth) across the intensive fire zone. Residue-based fire accounted an increase in LST by 0.48 °C and AOD by 0.19 yearly during peak fire season over intensive fire zone. A Random Forest non-linear model was used to regress potential influence of FRP and AOD on LST. Two pre-constructed scenarios were evaluated to ascertain FRP-AOD-LST nexus. Interestingly, both scenarios recognized FRP as a top predictor to influence LST followed by solar radiation and AOD. A significant enhancement in relative feature importance of FRP was also noted during days having high fire intensity and positive association against LST. Geographically Weighted Regression further explained spatial heterogeneity in LST modulation by FRP. Our analysis therefore, provides first evidence on crop residue-based fire on modifying regional climate by altering land surface temperature. It also underlines that extent of such perturbation is subject to year-specific fire intensity and govern by meteorology.