Cette infographie répond très bien à la question suivante :
Quel est le point le plus élevé sur notre Terre ?
Effectivement, il y a trois sommets car cela dépend du point d'origine considéré dans la mesure :
Si l'on mesure par rapport au niveau de la mer, alors la réponse est le mont Everest (Népal 🇳🇵)
Si l'on mesure par rapport à la base de la montagne, alors c'est le mont Mauna Kea (États-Unis 🇺🇲)
Si l'on mesure par rapport au centre de la Terre,alors c'est le mont Chimborazo (Équateur 🇪🇨)
Pour bien comprendre la mesure par rapport au centre de la Terre, il faut se rappeler que celle-ci a un modèle ellipsoïde de sphère aplatie aux pôles. Ainsi, les distances entre sa surface et son centre varient de 6 352 km (fond de l'océan Arctique) à 6 384 km (sommet du Chimborazo). Le rayon équatorial est de 6 378 km, alors que le rayon polaire est de 6 356 km.
"The Lunar Orbiter Laser Altimeter (LOLA) has collected and released almost 7 billion individual laser altimeter returns from the lunar surface. The LOLA data is used poleward of 79◦latitude as the elevation basemap necessary for calculating shading…”
Full size print complete!
The culmination of years of learning #3dprinting, experiments, messing with map data and scripts, trying to learn CAD programs and other tools to combine everything so the trails could be printed on the terrain AND be accurate. Colored water is a bonus. “:^)
Another angle with a printed frame. I love how printing in this orientation layers become contour lines that you can trace between trails to compare elevations. Speaking of which, elevation is exaggerated about 3x, which I think does a nice job highlighting glacial artifacts of the area along with giving a sense of climbing effort for a given trail.
Lunar impact (2016) - How this crater got its rings
Featuring a digital terrain model of the Orientale impact basin.
Credit: Ernest Wright, NASA/Goddard Space Flight Center Scientific Visualization Studio
Pro tip for anyone who happens to be looking for high resolution #bathymetry and #topography map images. Nasa's publicly available images top out at 3.6k pixels wide, which might not be enough for say a detailed 3D model. But if you go to the web page where they're available e.g. https://neo.gsfc.nasa.gov/view.php?datasetId=GEBCO_BATHY and click one of the download links, it actually renders the data live. So if you hack the URL you can dial up any* resolution you want.
The URL for the bathymetry data for example ends with &format=PNG&width=3600&height=1800. If you want an image with say, 10 times the resolution, just add a zero to both dimensions.
*Not sure what the upper limit is, or what resolution the original data set is. Don't abuse it or it might get taken away. #NoteForFutureSelf#blender3d#dataVis
Now that I have a new home on solarsystem.social, here's a new #introduction!
I am a #planetary scientist working at the Institut de Physique du Globe de Paris (#IPGP) in France. My research uses the #gravity field, #topography, and #MagneticField of the planets to decipher their internal structure and geologic evolution. My favorite terrestrial body is the #Moon, but I also work with #Mercury, #Venus, and #Mars. Soon I will need to learn about #Psyche and the icy satellites of #Jupiter!
With the influx of new mastodon users, here's an #introduction so that people can find me!
I am a #planetary scientist working at the Institut de Physique du Globe de Paris (#IPGP) in Paris, France. My research involves using the #gravity field, #topography, and #MagneticField of the planets to decipher their internal structure and evolution. Most of my work has been with the #Moon and #Mars, but I also dabble with #Mercury, #Venus, and sometimes the #asteroids and icy satellites of #Jupiter.