Under the EU’s climate-neutrality ambition, green hydrogen is expected to play a key role in decarbonising hard-to-abate sectors. Yet the development of international hydrogen supply chains is progressing slowly and remains highly uncertain, shaped by volatile policy support, immature markets, evolving certification regimes, and interdependent infrastructure investments across borders. Technology Roadmapping is widely used to coordinate such long-term, multi-actor transitions by sequencing actions and milestones over time. In practice, however, roadmaps are often applied in a relatively static way: they depict a preferred development trajectory but provide limited guidance on how commitments should adapt when critical assumptions no longer hold or when dependencies across the value chain do not co-evolve.

To address this limitation, the thesis integrates Dynamic Adaptive Policy Pathways (DAPP) into Technology Roadmapping, creating a new approach termed Adaptive Technology Roadmapping (ATR). DAPP contributes explicit adaptivity through the concepts of pathways, decision points, adaptation tipping points, signposts, triggers, contingency actions, and sell-by dates. Combined with the layered and time-based structure of Technology Roadmapping, ATR enables actors to plan and coordinate system development while retaining the ability to revise commitments as conditions evolve.

The approach is demonstrated through a qualitative case study of the Canada–Netherlands corridor. Data collection combines semi-structured interviews with key actor groups and supporting desk research. The dataset is analysed in ATLAS.ti using the Gioia method to derive themes capturing corridor dynamics, vulnerabilities, and opportunities. These findings inform a four-step ATR procedure: (1) defining system scope and success criteria; (2) developing an evidence base and a default plan with adaptation tipping points; (3) constructing a roadmap that maps alternative pathways, milestones, and decision points; and (4) enabling an adaptation plan by specifying signposts, triggers, and contingency actions linked to decision points.

Applying ATR shows that hydrogen import corridors require adaptive, systemic planning because progress is constrained by mutual dependencies, particularly around long-term offtake, permitting and social acceptance, certification eligibility, financeability, and the timely availability of import and hinterland infrastructure. Rather than optimising for a single end-state, ATR supports staging commitments through phased and modular scaling, while making explicit when delaying, downscaling, switching configurations, or stopping becomes the better option. The thesis concludes that ATR increases the decision relevance of roadmaps for long-lead, high-commitment hydrogen infrastructure by linking strategic actions to monitored conditions and predefined adaptation logic, thereby helping narrow the gap between hydrogen corridor ambitions and implementation under uncertainty.

This multidisciplinary project, undertaken in collaboration with Community Cloud Forest Conservation (CCFC) in Alta Verapaz, Guatemala, addresses the need for long-term meteorological and hydrological monitoring in the Mestelá River catchment. The tropical montane cloud forest in this region provides essential ecosystem services through canopy cloud water interception and regulation of streamflow, yet continuous, high-quality environmental data remain limited.

To support research and conservation efforts, a 13.5 m scaffolding tower was designed and constructed as a durable, safe, and adaptable measurement platform, engineered for future extension to 25 m. The structural design accounted for local wind loads, dynamic forces, foundation stability, and corrosion resistance, ensuring a projected operational lifespan of 15 years.

Beyond infrastructure, the project developed a hydrological monitoring set-up and a Python-based modelling framework to quantify the canopy water balance and hydrological cycle. Sensor selection, placement, and integration were tailored to capture key meteorological and hydrological variables, including rainfall, fog interception, throughfall, and soil moisture. Data acquisition and storage were configured to function as autonomously as possible under remote, high-humidity cloud forest conditions, while allowing for straightforward periodic maintenance of all components involved.

Recognising that sustainability extends beyond technical performance, the project incorporated cultural and institutional engagement. Workshops and collaborative activities with CCFC staff and local stakeholders were conducted to align the monitoring system with community values, build operational capacity, and foster local ownership. A comprehensive maintenance strategy and guidelines for potential expansion were developed to ensure the continued relevance and adaptability of the system, including options for biodiversity monitoring and additional research applications.

The resulting monitoring platform combines robust engineering, scientific instrumentation, and community integration. It establishes a foundation for long-term data collection that can inform hydrological modelling, climate adaptation strategies, and evidence-based conservation, while embedding the system within the local social and ecological context.