HydroSovereign AI Engine (HSAE) v6.01: An Open-Source Platform Integrating Multi-Sensor Satellite Earth Observation, Machine Learning, and the UN Watercourses Convention 1997 for Transboundary River Basin Sovereignty Analysis

HydroSovereign AI Engine (HSAE) v6.01 is an open-source decision-support platform for transboundary river basin sovereignty analysis. Built on 49 Python modules (31,273 lines · 33 Streamlit pages · 0 syntax errors), the system integrates eight Google Earth Engine satellite sensors (Sentinel-1 SAR, Sentinel-2 NDWI, GPM IMERG, MODIS ET/NDVI/LST, VIIRS, Landsat), five AI/ML models (Random Forest, MLP, Gradient Boosting, Isolation Forest, Ensemble Kalman Filter Digital Twin), and 33 articles of the UN Watercourses Convention 1997 across 26 globally contested transboundary basins in 7 geographic regions. Key scientific contributions include the Alkedir Transparency Deficit Index (ATDI, α=0.30, ε=0.001), Alkedir Human-Induced Flow Deficit (AHIFD), Alkedir Forensic Signal Factor (AFSF), and Alkedir Treaty Compliance Index (ATCI). New in v6.01: Monte Carlo uncertainty quantification (10,000 samples), Sobol sensitivity analysis, Digital Twin Ensemble Kalman Filter, Negotiation AI (47 TFDD/ICJ historical cases), ICJ/PCA/ITLOS dossier generator, MUSLE sediment transport, GRACE-FO TWS, SMAP soil moisture, GloFAS 30-day forecast, GRDC 43-station loader, and QGIS Desktop Plugin (9 tools + 3 Processing algorithms: ATDI + HIFD + Basin Report). The platform includes a companion QGIS Plugin for desktop GIS integration, enabling direct basin mapping, TDI visualisation, UNWC legal compliance overlay, and export to Shapefile/GeoJSON. Keywords: transboundary water management · satellite hydrology · Google Earth Engine · machine learning · UN Watercourses Convention 1997 · Digital Twin · Negotiation AI · QGIS · open-source · Streamlit · HBV model · Monte Carlo · Sobol sensitivity Author: Seifeldin M.G. Alkedir · Institute of Environmental Studies, University of Khartoum · ORCID: 0000-0003-0821-2991