The First Global Topographic Map of Mercury


The first complete topographic map of Mercury, based on data from the MESSENGER mission, was released last Friday: MESSENGER, USGS. The version above is a Robinson projection without labels (Robinson with labels, global DEM). “Mercury’s surface is colored according the topography of the surface, with regions with higher elevations colored brown, yellow and red, and regions with lower elevations appearing blue and purple.” [GIS and Science, The National Map]


1.7 million buildings mapped to fight malaria in Southern Africa, Central America, and Southeast Asia

Pentru cei interesati, desigur! Atentie, implica voluntariat:

Over the past few months, nearly 3,000 contributors have traced almost 1.7 million buildings, in a coordinated effort to map 500,000 km² of the malaria-affected world.

Volunteers use satellite imagery to trace buildings and add them to OpenStreetMap, creating a dataset which can be used by health programs in Southern Africa, Central America, and Southeast Asia to inform prediction models, target surveillance, and deploy resources within communities.

Explore 1.7 million buildings contributed by over 3000 mappers

On World Malaria Day, we recognize all of the remarkable work that’s been done so far, and gear up for the final push as our community seeks to complete this mapping initiative in full.

The mapping began last year with Visualize No Malaria, a partnership between Zambia’s Ministry of Health, PATH, the Tableau Foundation, and a coalition of tech partners. Digital Globe, the Clinton Health Access Initiative and the Humanitarian OpenStreetMap Team expanded the fight to a half million square kilometers. Groups like Missing Maps, YouthMappers, and the Peace Corps have also made significant contributions to the mapping lift. Here at Mapbox, we have been proud to support the effort with technical guidance and mapping.


Explore Livingstone, Zambia

Lukas developed this visualization to highlight the progress over the last several months. Dig into the code to see how he pulled together the data using GL JS and tippecanoe.

Learn how you can help us finish mapping all 500,000 km²!