Multi-temporal satellite-based change detection analysis requires addressing biases related to coregistration and satellite jitter. This study compares two workflows combining two co-registration strategies with jitter filtering using Pléiades imagery from 2015 and 2023. The Time-SIFT approach shows improved horizontal accuracy and comparable vertical accuracy compared to the classical approach without requiring GCPs or pre-georeferenced data, reducing elevation difference dispersion from 1.71 to 1.32 m in terms of NMAD. After jitter correction, dispersions reach 1.13 m and 0.96 m NMAD for the classical and the Time-SIFT approaches, respectively. These results demonstrate that the Time-SIFT co-registration quality yields improved elevation difference after filtering.