Glacial lakes in the Himalayan regions are expanding rapidly under ongoing climate change, intensifying the risk of Glacial Lake Outburst Floods (GLOFs). This study quantifies multi-decadal area changes (1992–2024) in four Potentially Dangerous Glacial Lakes (PDGLs), Thulagi, Lumding Tsho, Hongu 2, and Lower Barun, located in central-eastern Nepal, using Landsat 5 and Landsat 8 satellite imagery processed within the Google Earth Engine (GEE) cloud platform. Lake boundaries were delineated from post-monsoon (October–November) median composites using the Normalized Difference Water Index (NDWI; threshold = 0.3), supplemented by manual delineation where topographic shadow conditions compromised automated extractions. Area uncertainties were computed using the standard half-pixel buffer method. Non-parametric Mann-Kendall trend tests with Sen’s slope estimator were applied to all lake area time series to evaluate the statistical significance and rate of expansion. Sub-period regression analysis was used to assess acceleration in lake growth. Empirical area-volume scaling was applied to estimate changes in impounded water volume. All four lakes exhibited statistically significant, monotonically increasing area trends over the 32-year study period (Mann-Kendall tau = 1, p < 0.001 for each lake). Lower Barun exhibited the highest expansion rate (Sen’s slope = 0.063 km² yr^-1), growing from 0.77 ± 0.053 km² in 1992 to 2.76 ± 0.13 km² in 2024 (a 258 % increase), with post-2010 expansion accelerating by a factor of 1.35. Lumding Tsho showed a strongly accelerating growth trajectory (R² = 0.96) with a post-2010 rate that more than doubled. The combined estimated additional water volume stored across all four lakes since 1992 approaches 608.6 × 10⁶ m³, representing a GLOF hazard of exceptional and growing scale. The approach demonstrates a scalable and reproducible framework for long-term glacial lake monitoring and hazard assessment, applicable across data-sparse high mountain environment.