Posters 1

[Poster 1-04] From Ocean Blue Carbon Observation to National Spatial Planning: A Remote Sensing–Enabled Digital Twin for Taiwan

*Po-Chun Hsu¹ (1. Center for Space and Remote Sensing Research, National Central University (Taiwan))

Taiwan’s surrounding seas serve as a spatially heterogeneous regional carbon sink, yet their carbon uptake capacity is increasingly influenced by ocean warming, stratification, changes in circulation, and declining carbonate buffering. This study integrates multi-source remote sensing, ocean reanalysis, carbon-system diagnostics, and a national-scale digital twin framework to support operational blue carbon assessment and spatial planning. Long-term observations from 1998–2025 were analyzed for sea surface temperature, salinity, wind, mixed-layer depth, circulation, surface-water pCO₂, air–sea CO₂ flux, pH, and Revelle factor across five representative marine regions around Taiwan. Results show that the northwestern shelf and Penghu waters are the strongest and most stable carbon sinks, driven by winter cooling, vertical mixing, nutrient supply, and enhanced physical and biological pumping. The Kuroshio and Dongsha waters exhibit moderate but climate-sensitive uptake, whereas the southwestern region behaves as a transitional system with stronger seasonal switching between sink and near-neutral conditions. Concurrent decreases in pH and increases in pCO₂ and Revelle factor indicate a gradual weakening of carbonate buffering and potential future constraints on carbon uptake. These scientific outputs are integrated into a prototype digital twin platform built on standardized data services and a scalable Unity–Cesium–ECS architecture. GPU-enabled visualization supports dynamic geospatial layers, time-series tile streaming, and interactive exploration of blue carbon indicators. The platform is designed for scenario-based applications, including blue carbon restoration, development-impact assessment, land–sea ecosystem protection, carbon sink quantification, and spatial decision support. By connecting Earth observation, carbon-cycle science, and digital infrastructure, this framework demonstrates a deployable pathway from marine environmental intelligence to cross-sector governance, supporting net-zero planning, ecosystem resilience, and adaptive coastal management.