This study evaluates the performance of topographic correction models applied to multispectral imagery acquired by Unmanned Aerial Vehicles (UAVs) in an area with complex relief. Although well established for orbital data, such corrections remain underexplored for UAV imagery due to their unique acquisition geometry and high spatial resolution. Seven models were tested—Simple Ratio, Cosine, Minnaert, C Correction, SCS+C, Empirical-Statistical, Empirical-Rotational—and the empirical line approach. The illumination factor (IL) was calculated based on the interaction between solar zenith angle, terrain slope, and aspect. Data were collected with a DJI Mavic 3 Multispectral over Presidente Prudente, Brazil. Photogrammetric processing was conducted in Agisoft Metashape and analysis in QGIS. Model performance was assessed via the standard deviation of reflectance values before and after correction, aiming to quantify improvements in spectral homogeneity. Preliminary results suggest that some models effectively mitigate topography-induced radiometric distortions, contributing to more accurate vegetation indices and land cover analyses. The final version will include quantitative model comparisons.