Abstract:The vegetation index and the light index used to quantitatively evaluate the post-disaster recovery situation have important scientific significance for the evaluation of economic construction and ecological recovery in the disaster area. An MS6.0 earthquake eccurred in Changning County, Yibin City, Sichuan Province on June 17, 2019. Four kinds of light indexes and the enhanced vegetation index (EVI) in the earthquake-striken area were obtained based on the monthly NPP-VIIRS data, MODIS-EVI data, and statistical yearbook data. The nonli-near regression prediction models of NPP-VIIRS data and MODIS-EVI data were established to predict the light index and vegetation index, respectively. Through a comparative analysis of the predicted and actual data, the recovery situation after the earthquake was evaluated. The results show that both the total night-time light (TNL) and the EVI decrease significantly after the earthquake, and the values decrease more obvious with closer to the epicenter. The decline of EVI data is lagging and persistent, and the restoration of night lighting is better than that of vegetation. The impact of earthquake on TNL is higher than that of EVI, and the impact decreases with the increase of epicentral distance. This paper carries out research from two aspects of economy and environment, thus having a certain application value for earthquake rescue and post-earthquake recovery evaluation.