Detailed urban roughness parametrization for anthropogenic heat flux estimation using earth observation data

Anthropogenic Heat (AH) emissions modify the energy balance in urban areas and is crucial for microclimate modelling improved weather forecast modelling. Therefore, present study conducted on Delhi its surroundings firstly aims to estimate AH using Earth Observation (EO) data of Landsat 8 then, evaluate impact detailed roughness parameterization estimation further validate obtained flux values with ground based observations Large Aperture Scintillometer (LAS) setup. The has been over three time periods October 2017, March 2018 June by processing six tiles. Three methods have employed EO computation i.e. single value entire area (Method 1), LULC adopted from literature 2) lastly, pixel-by-pixel varying calculated fine scale 3) each period, average are higher month 2018: 359.91, 368.57 359.16 W/m2 as compared (322.44, 330.84 298.35 W/m2) 2017 (318.00, 331.04 306.71 method 1, 2 3 respectively. Net radiation Sensible Flux shows a good correspondence in-situ measurements most tiles better spatial distribution fluxes other two methods. However, due difference approach (LAS setup computes latent heat residual while residual), conclusive results could not be drawn respect aptness method. Accurate can assist formulating policies, regulations action plans related mitigation control stress, climate change forecasting.