Leveraging Geospatial Science to increase community resilience in agricultural production Makueni county
Leveraging Geospatial Science to increase community resilience in agricultural production Makueni county
| Clients: | USAID |
| Sector/ Market: | Agriculture |
| Service: | Leveraging Geospatial Science to increase community resilience in agricultural production Makueni county. |
| Location: | Makueni, Kenya |
Rationale
The project aimed to tackle major issues in Makueni County’s agriculture, particularly those stemming from gender inequality and limited access to resources like land and housing. Recognizing that women face significant barriers in managing agricultural resources, the project focused on using geospatial science to deliver accurate, timely information on land and agricultural resources. This involved developing an Agricultural Decision Support System (DSS) to enhance resource allocation, understand biophysical processes, and adapt agricultural practices. The objective was to make this crucial information accessible to county officials and vulnerable groups through a web-based portal and a mobile app.
Objectives
- Enhance Learning: Strengthen the learning capabilities of local and host country organizations by providing practical experience in spatial analysis and geospatial science.
- Support County Government: Assist Makueni County with remote sensing, GIS training, data analytics, and resource mapping to enable evidence-based decision-making.
Implementation
We collected essential data to develop a comprehensive Agricultural Decision Support System (DSS). This system was designed to support effective decision-making in agricultural resource management. We then disseminated the findings to relevant stakeholders and created detailed process documents to ensure ongoing use and future reference of the system.
Outputs
- Data Feature Overlay Model: Integrated various data layers for comprehensive spatial analysis.
- Raster/Weighted Overlay Model: Provided detailed visualizations of agricultural suitability.
- Agricultural Suitability Models: Assessed areas for optimal agricultural practices.
- Capacity Building Training: Educated county staff and stakeholders in data collection and management.
- Web-Based Geoportal: Enabled data visualization and access through an online platform.
Data and Information Dissemination
- Training Manuals: Provided detailed instructions and guidelines for using new technologies.
- Mobile App: Facilitated real-time data collection and analysis.
- Geoportal: Offered a centralized platform for data visualization and decision-making.
In summary, the project successfully leveraged geospatial science to enhance agricultural resilience in Makueni County, providing essential tools and training for improved resource management and adaptive agricultural practices.
