Remote sensing images from 2005, 2010, 2015, and 2020 were selected, and regional meteorological, geological and socioeconomic data were integrated in this study. Based on existing research results and field investigations, image classification, remote sensing inversion, geostatistical analysis were comprehensively applied to developing an EDGRATOPSIS (Euclidean distancegrey relational analysistechnique for order preference by similarity to an ideal solution) model, with 18 indexes selected, to analyze the spatiotemporal characteristics of the urban ecogeological environment carrying capacity in the core area along the Yellow River in Henan Province. The results indicate that during 20052020, the ecogeological environment carrying capacity in the study area maintained a moderate level (0.30210.5931), showing consistent growth across all cities except Zhengzhou and reflecting an enhanced threshold for human activity impacts. Notably, the most significant capacity variations occurred in Kaifeng, Puyang, and Luoyang, where energy and industrial development, as well as Yellow River ecological construction profoundly influenced the regional carrying capacity. It is also revealed that changes in both the ecological environment and socioeconomic environment subobjective layers substantially affected the ecogeological environment carrying capacity, demonstrating a high sensitivity of its variation to human activities.