The Night Earth map is an interactive visualization designed to explore how artificial lighting shapes our planet after sunset, and to understand the impact of light pollution. By representing the Earth’s surface at night, the map reveals where human activity concentrates through artificial illumination and where large regions remain largely untouched by electric light, showing how cities tend to concentrate along coastlines and transportation networks.
The visualization highlights strong contrasts between urbanized and remote areas. Major metropolitan regions, coastlines, and transportation corridors emerge as bright clusters, while deserts, dense rainforests, high-latitude boreal regions, and polar areas remain comparatively dark. These patterns provide a striking proxy for infrastructure development, economic activity, and access to electricity.
An important aspect of the Night Earth map is the distinction between light intensity and population density. Some regions appear exceptionally bright despite relatively low populations due to industrial activity, energy production, or extensive infrastructure. Conversely, densely populated regions may appear less luminous where lighting efficiency, urban form, or regulations limit nighttime emissions.
Beyond its analytical value, the Night Earth map offers an aesthetic perspective on Earth as a human-altered system. It illustrates the complex relationship between technology, settlement patterns, and the natural environment, while also drawing attention to the global extent of light pollution.
Two night-related layers are available, each derived from different scientific datasets and serving a distinct purpose:
Additional reference layers include daytime satellite imagery and roadmap views obtained from multiple cartographic and remote-sensing sources.
High-resolution photographs of cities at night were taken by astronauts aboard the International Space Station and are provided by the Image Science and Analysis Laboratory, NASA Johnson Space Center (The Gateway to Astronaut Photography of Earth).
Further scientific background and imagery can be found on the NASA Earth Observatory website.
The 3D map uses Cesium via OpenLayers and ol-cesium, with extensions from ol-ext. This uses imagery from OpenStreetMap, Bing Maps, and MapQuest. Geocoding is supported by Nominatim via ol3-geocoder. The GDAL - Geospatial Data Abstraction Library library was used for the reprojection and processing of map images. The Aurora Borealis and Aurora Australis (Northern Lights and Southern Lights) data is sourced from NOAA - National Oceanic and Atmospheric Administration. The clouds layer is obtained from OpenWeatherMap. Hosting is provided by x10Hosting.