Study Area: Niger Republic
Objective:
To conduct a rainfall analysis of Niger using Google Earth Engine and QGIS.
Datasets:
CHIRPS Daily: "Climate Hazards Center InfraRed Precipitation With Station"
Shapefile from the IGNN: Institut Geographique National du Niger
Methodology:
1. Data Preprocessing:
- Imported the CHIRPS dataset and the shapefile file.
-Filtered the images with the dates, clipping, calculate the mean of them using the AOI: Area of Interest
- Resampled and projected the data to the Universal Transverse Mercator (UTM) coordinate system in QGIS.
2.Visualization and Interpretation:
- Created maps and 2D visualizations to display the rainfall results, highlighting areas of high flooding or drought.
- Interpretation of results in the context of urban heat island effects, land use and occupation and potential flood or drought risks.
Key Findings:
- Identified areas of high rainfall values, corresponding to the southern part of the country.
- Observed a positive correlation between Rainfall, population density and urban development.
- Detected spatial clusters of high hight values, indicating potential flooding or drought hotspots.
Conclusion
This project demonstrated the application of CHIRPS Daily, GEE and QGIS in analyzing rainfall patterns in Niger. The results provide valuable information on the potential heat effects of urban growth that can cause flooding in large urban centres and can inform urban planning and flood wave mitigation strategies.
Skills Demonstrate
- Cloud dataset (Google Earth Engine) analysis proficiency
- Satellite remote sensing and data analysis
- Spatial analysis and autocorrelation techniques
- Data visualization and interpretation
- QGIS software proficiency
