A Review of Cloud Computing for the NDVI

The NDVI (Normalized Difference Vegetation Index) is an index for measuring vegetation. This article surveys selected cloud computation issues and solutions for computing NDVI. The focus is on serverless cloud computing. Metrics, other than NDVI, are not discussed here. NDVI may be viewed as a proxy for computing these other metrics. Cloud computing plays a large role in providing virtualized systems and infrastructure. The cloud offers scalability and elasticity on a global scale. This allows efficient and effective periodic or intermittent computation. Population change, eating habits, deforestation, biodiversity preservation, and climate all make measuring NDVI more important than ever. Fortunately, NDVI has become easier to compute due to the cloud, access to satellite data and sensors, global positioning systems, global mapping systems, and increases in computational power and infrastructure. NDVI is interesting to the farming and fishing industries, government policy makers, and even investors. Using NDVI, independent farmers may leverage this information about their own work as well as their competitors. This means farmers may be able to change their focus based on projected global farming productivity.