<p>Quantifying ecosystem service value (ESV) is fundamental for understanding ecological dynamics and supporting sustainable development, especially in disaster-affected regions. ESV assessment, which rely on static land-use categories, often overlook within-class differences in ecosystem condition and therefore underestimate the impacts of disturbance and recovery processes. To address this gap, we integrate the Remote Sensing Ecological Index (RSEI)-which combines greenness, wetness, heat, and dryness- into ESV assessment as a dynamic correction factor. In the Wenchuan Earthquake region (2007–2020), the results reveal a significant decline in ESV following the 2008 earthquake, with only partial recovery by 2020. ESV suggested a smooth and gradual decline, whereas the RSEI-enhanced approach captured sharp post-earthquake degradation, subsequent fluctuations, and localized recovery, thereby uncovering temporal and spatial dynamics that static methods tend to overlook. The spatial analysis further shows that RSEI correction refines the detection of ecological heterogeneity within land-use types while preserving the overall spatial clustering pattern of ESV. This contrast demonstrates that the RSEI-based framework not only improves spatial–temporal precision but also provides a more ecologically realistic account of disaster impacts, offering actionable insights for ecological restoration and policy-making.</p>