Towards the program's conclusion, trainees engaged in discussions facilitated by CMO to identify challenges in applying geospatial information and tools. This led to the recognition of the need for a service providing current land use/land cover information to support decision-making across participating institutions. This information was crucial for watershed planning, flood prediction, ecosystem protection, coastal management, and environmental conservation.
Trainees conceptualized an inter-agency workflow utilizing Google Earth Engine (GEE) cloud infrastructure to produce high-quality, regularly updated land use/land cover data. This data served as a common input for collective spatial and strategic planning, environmental service delivery, disaster risk assessments, and flood forecasting, fostering collaboration between public sector organizations and academia.
This presentation showcases the successful partnership between public sector entities and academia in implementing a cloud-enabled workflow for producing up-to-date land use/land cover information using open-source data and infrastructure. The conceptual process, institutional framework, and pilot results highlight the potential impact achievable through collaborative efforts.

