siremey/Nigeria_drought_Analysis

Personal work on Nigeria drought analysis using geemap # Nigeria_drought A Personal project on Nigeria Drought Assessment using GEEMAP The study uses NASA MODIS MOD13A2.061 Terra Vegetation Indices 16-Day Global 1km data to assess agricultural drought conditions in Nigeria for the year 2023. The Normalised Difference Vegetation Index (NDVI) and the Vegetation Condition Index (VCI) are the primary metrics under consideration. These indices are critical for measuring the health and productivity of vegetation across the country, providing information about drought severity and spatial distribution. The study area is defined using the FAO Global Administrative Unit Layers (GAUL) 2015 Country Boundaries, which provide accurate geographical boundaries for research. Analysis and Results NDVI Analysis The findings show that southern Nigeria generally has high NDVI levels, indicating healthier and more robust vegetation. Northern Nigeria, especially the northeastern region, has low NDVI values. A notable exception is the Lake Chad region in northeast Borno State, which has slightly better vegetative conditions. NDVI values are highest in September (0.56) and lowest in February (0.30). A monthly NDVI trajectory shows a consistent increase from February to September, followed by a fall from September onward. This pattern provides critical data for understanding the seasonal dynamics of vegetation in Nigeria, allowing for the development of informed environmental policy. VCI Analysis The VCI follows the NDVI trend, with values increasing from 21% in February to 76.7% in September before dropping after September. This pattern demonstrates the seasonality of the country's vegetative health. The VCI, like the NDVI, shows that southern regions enjoy reasonably wet conditions, while northern areas experience poor to extremely dry vegetation conditions. Comparing the VCI and NDVI When the NDVI and VCI are compared, they show similar tendencies, although with slight differences in their values. For example, in February 2023, the NDVI …