A Containerized Geospatial Platform for Multi-Evidence Prioritization of Surface Anomalies in Paipa–Iza, Colombia

This working paper describes the design and implementation of a containerized geospatial platform developed to disseminate and inspect the outputs of a multi-evidence framework for surface spectral anomaly prioritization in Paipa–Iza, Boyacá, Colombia. The underlying study processed multispectral imagery acquired by an unmanned aircraft system, identified anomalous spatial units using Isolation Forest, and subsequently examined independent hydrothermal, structural and satellite-derived thermal evidence. The platform exposes 27 nonredundant UAS footprints, 8,433 candidate anomaly zones, 21 hydrothermal springs and 91 fault geometries through a modular backend built with FastAPI and an interactive Streamlit–Folium interface. Domain-specific services support spatial intersection, evidence-based filtering and nearest-feature queries. A REST API provides GeoJSON responses and documented endpoints, while Docker Compose coordinates separate frontend and backend containers. The application also checks the integrity of loaded datasets against the counts and evidence categories reported in the analytical results. The case study identifies PAIPA-10 and PAIPA-16 as the two footprints with robust hydrothermal and structural convergence, comprising 680 candidate zones. The platform does not establish the existence, depth or productivity of geothermal reservoirs; its contribution is to make the analytical outputs accessible and internally consistent for subsequent exploratory assessment.