Our MapTiler Planet comes from many data sources. Using local data sources increases the quality of the whole dataset and brings our customers base map at its best.
Natural Earth is a public dataset at 1:10m, 1:50m, and 1:110 million scales. Due to its small scale, the detail and quality of these vector data are perfect for the entire planet up to zoom 6. This dataset contains cultural vector data - such as countries, administrative divisions, urban polygons, or water boundary - and physical vector data - such as the ocean, rivers, lakes minor islands, or glaciated areas. We always use the latest version of Natural Earth, currently version 4.1.0 (2018-05-20).
OpenStreetMap data are the main data source of our maps. OSM is a collaborative project to create a free editable map of the world and offers street-scale quality data with regular updates. Every day OSM data receive millions of updates from community contributors.
To avoid having low-quality or even misleading edits and inconsistency in data, we collaborate with our partners and use additional tools and technologies on top of OSM to drive a higher level of detail, quality, and accuracy on the map. Our data from OSM are updated once a month after they’ve been scanned for vandalism, topology errors, and inconsistency.
The building footprints are a joint product of Microsoft Building Footprints and Esri Community Maps Program. They combine the positional accuracy of Microsoft’s footprint data creation and authoritative tags such as name and address provided by authoritative sources in collaboration with Esri. This causes one of the biggest steps forward in our maps Check out the difference between OpenMapTiles and MapTiler Planet in the US, Canada, Tanzania, Uganda or Australia. The building footprint is also updated on monthly basis.
Thanks to our partnership with Mierune from Japan, we got access to a dataset from The Geospatial Information Authority of Japan (GSI). This means that users now can see building footprints even in the tiniest mountain village in Japan. GSI updates its data every three months.
Global landcover is a derivated product from imagery made by ESA as a part of the ESA Climate Change Initiative and in particular its Land Cover project. ESA Landcover v1.1 is processed and vectorized into a data source which we use in our MapTiler Planet for global landcover from zoom 0 to zoom 9. Data have six classes: crop, forest, grass, scrub, snow, tree.
For woodland in the USA, we use a data source produced by The United States Geological Survey (USGS). Land Cover - Woodland is a dataset that gathers woodland datasets from each of the states with irregular updates according to USGS standards. The latest version is from June 2021.
Canadian open data offer the Land Features dataset as part of the CanVec series. The land features of the CanVec series contain landscape features of Canada such as islands, shoreline delineation, wooded areas, saturated soil features, landform features (esker, sand, etc.). These data are further processed and reclassified to fit in our schema. It results in a very detailed land cover, even in the most remote parts of Canada. The currently used dataset was published in March 2019.