The widespread hydroelectric infrastructure boom of the late 20th century has led to significant negative environmental impacts, raising the need for innovative approaches and tools to aid with planning sustainable micro-hydro developments to meet current and future needs. Micro-hydro projects aim to develop more small resilient hydro infrastructures with minimal environmental footprints. To establish a comprehensive global dataset of dam infrastructure, existing dam inventories are geo-referenced and integrated with spatial datasets to refine the number of dams per basin region. GeoDAR v1.1 was developed as the first effort to harmonize global dam datasets. Given that the dataset is built from multiple local geo-referenced sources, harmonization with new regional datasets is essential for continual improvement and validation. This study presents an automated harmonization methodology for refining GeoDAR v1.1 using an inverse geospatial analysis approach. The methodology is validated by integrating new regional datasets to the Mekong Basin and Salwin Basin in Asia, and the Outaouais Basin in Canada. Through this process, inverted clustering within the harmonized dataset is employed to assess hydro-river availability using HydroSHEDS data. This harmonized dataset and analysis framework is further extended to hydropower industry applications. Specifically, new sustainable practices for identifying micro-hydro site suitability are examined using the same geospatial principles. These assessments incorporate exclusionary factors, such as protected areas and existing hydropower infrastructure, to refine site selection. Rather than relying on heavily weighted criteria to pinpoint specific locations, this study employs inverse spatial analysis to evaluate the relationship between dam clusters and river basin hydraulic availability. The method provides valuable data for pre-feasibility studies and map visualizations to support hydropower planning and development.