Transparency
Data sources
Every figure on this site comes from a public dataset with a licence that allows this use, or from our own calculations on it. Here is each one.
| Source | What we use | Period | Licence | Attribution |
|---|---|---|---|---|
| Copernicus DEM GLO-30 | Copernicus DEM GLO-30 (Cloud Optimized GeoTIFF, AWS Open Data) | 2011-2015 (TanDEM-X) | Copernicus WorldDEM-30 licence (free, worldwide, incl. commercial use) | Relief, cuts and 3D models produced using Copernicus WorldDEM-30 © DLR e.V. 2010-2014 and © Airbus Defence and Space GmbH 2014-2018 provided under COPERNICUS by the European Union and ESA; all rights reserved. The organisations in charge of the Copernicus programme by law or by delegation do not incur any liability for any use of the Copernicus WorldDEM-30 |
| EOX Sentinel-2 cloudless 2016 | s2cloudless 2016 (layer s2cloudless_3857) | 2016 | CC BY 4.0 | Satellite images: Sentinel-2 cloudless 2016 by EOX IT Services GmbH (contains modified Copernicus Sentinel data 2016), CC BY 4.0 |
| GeoNames | cities1000 (towns with 1,000+ people, with elevation) and countryInfo | Creative Commons Attribution 4.0 | Towns from GeoNames (CC BY 4.0) | |
| NASA POWER | Climatology, monthly and daily point data (MERRA-2 / CERES SYN1deg) | 1991-2020 averages; 2020-2025 month by month; daily rain 1991-2025 | CC BY 4.0 (NASA open data) | Climate: the data was obtained from the NASA Langley Research Center POWER Project funded through the NASA Earth Science Division |
| OpenFreeMap | Vector base map (OpenStreetMap data) | ODbL 1.0 (OSM data) | Base map © OpenStreetMap contributors, OpenFreeMap | |
| OpenStreetMap | Viewpoints, trails, via ferrata, climbing, footbridges, rafting spots, places, parking, campsites and the river line around each place (Overpass API) | Open Database License (ODbL) 1.0 | Viewpoints, trails, bridges and rivers around each place © OpenStreetMap contributors (ODbL) | |
| OurAirports | airports.csv | Public domain | Airports from OurAirports (public domain) | |
| Wikidata | Places and gorges: names in 7 languages, published depth, length and width, elevation, river, protected area, World Heritage, images | CC0 1.0 (public domain) | Place names, published depths, lengths and rivers from Wikidata (CC0) | |
| Wikimedia Commons | Photographs of each place (Wikidata P18, Commons category, English Wikipedia article, geosearch) | Per file: public domain, CC0, CC BY or CC BY-SA only | Photos from Wikimedia Commons; author and licence under each photo | |
| flag-icons | Country flags in SVG (4:3) | MIT | Country flags from flag-icons (MIT licence) |
The viewpoints
From Wikidata (CC0): scenic viewpoints, observation towers and decks, fire-lookout towers, Ferris wheels and famous cliffs; and the best-known summits and canyons of our sister atlases Peakyas and Canyonyas.
The panorama
Copernicus DEM GLO-90 and GLO-30 (© DLR e.V., © Airbus Defence and Space GmbH, provided under COPERNICUS by the European Union and ESA): for each degree of the circle, the highest angle of the relief up to 250 km and the distance to it, with Earth curvature and refraction (k = 0.13); where the horizon is at sea level, the sea.
The peaks in view
The named summits of Peakyas, our mountain atlas (Wikidata, CC0), within 150 km whose angle rises above the relief in front of them.
The sun
Calculated with the classical algorithms of Jean Meeus (Astronomical Algorithms) against the panorama of each viewpoint. Time zones from GeoNames (CC BY 4.0).
Clouds
NASA POWER: cloud amount (CERES SYN1deg, 2001–2020) and temperature (MERRA-2, 1991–2020), monthly averages for a cell of about 55 km.
What is around
OpenStreetMap (© OpenStreetMap contributors, ODbL): other viewpoints, cable cars, trails, car parks, places to stay — only inside the pages, never in downloadable files.
Images
Photographs from Wikimedia Commons, each with its author and licence. Seen from above: Sentinel-2 cloudless 2016 by EOX (CC BY 4.0).
The family
Do you prefer beaches, lakes, mountains, waterfalls, islands, rivers, canyons, caves, dark skies, viewpoints, birdwatching or forests?
Same idea, other landscapes: field atlases built on open data, in seven languages.
beaches
Find your beach: sea temperature, sun and swimming month by month.Visit 
lakes
Every lake on Earth: water temperature, ice, depth and the shore.Visit 
mountains
Every summit in 3D: summit weather, the 0 °C line, huts and trails.Visit 
waterfalls
Every waterfall: height, flow month by month and when it roars.Visit 
islands
Every island from the sea up: size, sea temperature, ferries and 3D.Visit 
rivers
Every river from source to sea: the journey, the flow and the basin in numbers.Visit 
canyons
Every canyon cut to scale: depth to the floor, rim and floor temperatures, trails and viewpoints.Visit 
caves
Every cave with its real depth and length: the rock above, the temperature inside all year, and how to visit.Visit 
dark skies
Where the night is still dark: the sky of every place, the Milky Way month by month, the Moon, eclipses and auroras.Visit 
viewpoints
Every viewpoint with its real 360° panorama: the peaks you can name, how far you see and where the sun sets.You are here
birdwatching
Every bird sanctuary and wetland with the species recorded month by month: who is resident, who comes for the summer, who only passes through.Visit 
forests
Every forest with its land-cover rings, what grows and lives in it, and the best months to walk it.Visit