This thesis develops and demonstrates two complementary geospatial tools- the GeoH2‑PAM framework for mapping gross, technical, and economic potential and the GeoH2‑FAT for site‑specific techno‑economic and environmental feasibility analyses-to assess the production potential of green hydrogen and its derivatives (ammonia and methanol) from renewable energy sources (solar photovoltaic, onshore wind, and offshore wind). High‑resolution datasets for these resources are combined with eighteen environmental, technical, social, and economic constraints to transform theoretical (gross) resource estimates into realistic (technical) potentials. The framework employs production models for water electrolysis and subsequent chemical conversion, calibrated against region‑specific data, while incorporating exclusion criteria such as capacity factor thresholds, infrastructural setbacks, and environmental protection zones. In the Brazilian context, the analysis reveals significant reductions in deployable capacity due to constraints, thereby exposing the divergence between idealized resource availability and practical implementation. Furthermore, a techno‑economic evaluation using LCOE and LCOH metrics-and preliminary market‐viability insights from GeoH2‑FAT- provides critical guidance for optimized site selection and policy decisions. This work thus contributes to advancing geospatial methodologies for renewable energy integration and supports the formulation of sustainable investment strategies that are essential for global decarbonization efforts.