Remote Sensing Integrator - SR-021

SR ideally should have the capability to integrate and process data from remote sensing sources to inform certain processes

Allows for the incorporation of alternative data sources, potentially improving the accuracy of needs assessments

Integration of alternative data sources like remote sensing to inform needs assessments.

Remote Sensing Data, Integration Inputs, Analysis Records

• Data Integration: Manual integration of remote sensing data.

• Processing: Basic image processing using GIS software.

• Security: Limited access control.

• Data Integration: Automated integration with remote sensing APIs.

• Processing: Advanced GIS capabilities for analysis.

• Security: Role-based access control (RBAC).

• Data Integration: AI-based real-time integration with satellite feeds.

• Processing: Machine learning for feature extraction and analysis.

• Security: Attribute-based encryption (ABE) for secure data handling.

Encrypted remote sensing data integration, secure access for processing.

AI-based real-time integration with satellite feeds for scalability.

AI-based real-time integration with satellite feeds for scalability.

Compliance with GDPR for data privacy, ISO 19115 for geospatial data.

UI for visualizing remote sensing data and its integration with beneficiary data.