This process involves sourcing EO data from commercial providers and tailoring it to specific local contexts. By integrating customized datasets, users can perform detailed, localized analyses—enabling more precise insights for applications such as environmental monitoring, urban planning, or disaster response.

Prerequisites:

• Clarify and understand national priorities and needs

• Capability to process EO data

• Procurement pathway

• Partner support as needed

• Data policy (open by default preferred)

• Cybersecurity, data protection, and continuity planning

Cost:

• Ballpark: USD 200k–2 M/yr

• Includes: procurement of high-resolution data or analytics packages, licensing agreements, data delivery infrastructure, capacity building for end-users, technical support

Timeframe:

• Overall: 12–24 mo

• Phase: scoping & needs assessment (3–6 mo), negotiation & procurement (3–6 mo), integration & user training (6–12 mo)

Pros:

• Improved Access - Opportunity to quickly access high-resolution, customized data without the need for significant investment in local infrastructure

Considerations:

• Cost - Can become costly Dependency - Reliant on external providers