Abstract: Various sources of remote sensing data, primarily utilizing cross-calibrated multiplatform (CCMP) data, supplemented by advanced scatterometer (ASCAT) and WindSat data, are compared to systematically evaluate wind energy resources in Colombia and its northern maritime regions at regional and point scales. Initially, the accuracy of CCMP data for wind speed and wind power density is validated through comparative analysis with multiple datasets, revealing that CCMP offshore wind speed distributions are largely consistent with the reanalysis data, despite some discrepancies in magnitude. Subsequently, based on the analysis of the spatiotemporal distribution characteristics of wind speed, the nearshore area of northern Colombia exhibits an increasing trend in wind speed, maintaining relatively high levels (＞10 m/s) even during low-wind years, indicating this region as a consistently high-wind-speed zone. Furthermore, by selecting key focal points (A, B, and C), the wind energy resources in critical areas that are suitable for wind power development are assessed at the point scale. The analysis indicates that point C is optimal for large-scale wind farm construction because of its high wind speed, wind power density, and stable wind direction distribution, whereas points A and B are suitable for medium-sized wind power projects and demonstrate favorable economic benefits and technical feasibility. The results of this study offer a scientific foundation for the rational development and utilization of wind energy resources in Colombia, carrying significant practical importance.