This map classifies the Earth's surface land cover using remote sensing with LIDAR. The process began by downloading an image of Utrecht from Sentinel-2 via Google Earth Engine (GEE). This data was then incorporated into a new world map in ArcGIS. To analyze the data, the Normalized Difference Vegetation Index (NDVI) was calculated by measuring the difference between near-infrared light (which vegetation strongly reflects) and red light (which vegetation absorbs).

The NDVI reflects vegetation health. This information is crucial for achieving Sustainable Development Goal 15: Life on Land, as it provides insights into the health and distribution of plant life. By identifying areas of healthy and stressed vegetation, it aids in the management and conservation of ecosystems and helps protect biodiversity.