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Modeled and rendered with Autodesk Maya and Adobe Photoshop. The capsule is based on the current Dragon V2 design. Other structures and vehicles have no basis on design.
Playing around with nurbs displacement and water bump mapping in Maya. Global imagery sourced from NASA/NOAA/GEBCO
I got to try a Waccom tablet the first time, and I had fun on this graphic with it! :)
Many thanks to he following for their stock:
The lovely model: Immortal Fall by lindown stock
Link unavailable now.
Frosty Landscape 6 by *emothic-stock
emothic-stock.deviantart.com/art/Frosty-Landscape-6-80943775
Created in ultra frctal by using julia formula and lovely orbit traps CA . In this I chose this particular blue which is enhancing the beauty of white Pearls . In this image I am trying to show the white Pearls which are fixed on thin blue film and thread of small beaded pearls are holding the whole spiral rows .
Background has been created to give feeling of the Blue silk Brocade .
I hope my all viewers would sure enjoy my work
✰ This photo was featured on The Epic Global Showcase here: ift.tt/1R53Yy6
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》Featuring The Amazing: @jvkeclarke ┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄
SEQUOIA [16.05.16] #3d #cinema4d #c4d #photoshop #cg #computergraphics #geometry #geometric #render #abstract #art #digitalart #illustration #daily #scifi #fantasyart #surreal #rsa_graphics #nature
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Rendered using Autodesk Maya and Adobe Lightroom. HiRISE data processed using gdal.
Data:
NASA/JPL/University of Arizona/USGS
Rendered using Autodesk Maya, Adobe Photoshop, and Blender. HiRISE data processed using gdal.
Data:
NASA/JPL/University of Arizona/USGS
[Updated] Improved color processing.
Rendered using Autodesk Maya and Adobe Lightroom. HiRISE data processed using gdal.
Data:
NASA/JPL/University of Arizona/USGS
aspen, colorado
1982
screenshot
aspen computer society
part of an archival project, featuring the photographs of nick dewolf
© the Nick DeWolf Foundation
Image-use requests are welcome via flickrmail or nickdewolfphotoarchive [at] gmail [dot] com
Rendered using Autodesk Maya and Adobe Lightroom. HiRISE data processed using gdal.
Data:
NASA/JPL/University of Arizona/USGS
Rendered using Blender and Adobe Lightroom. HiRISE data processed using gdal.
Data:
NASA/JPL/University of Arizona/USGS
This is a view of the Western hemisphere with Olympus Mons on the horizon beyond the Tharsis Montes volcanoes and the Valles Marineris canyons near the center. The height of the clouds and atmosphere are largely arbitrary and set for the sake of appearance and coverage over the exaggerated terrain elevations (~10 times elevation exaggeration). The eye is about 10,000 km (~6,200 miles) from the surface.
The completed model was done in several steps...
A two dimensional digital elevation model was first rendered in jDem846 (an open-source learning project of mine) using the MRO MOLA 128 pix/deg elevation dataset. In that model, I picked a sea level and scripted it such that terrain at or below that level was flat and blue.
The resulting model was then brought into GIMP were I painted in land features using a NASA Blue Marble Next Generation image for the source textures. There is no scientific reasoning behind how I painted it; I tried to envision how the land would appear given certain features or the effects of likely atmospheric climate. For example, I didn’t see much green taking hold within the area of Olympus Mons and the surrounding volcanoes, both due to the volcanic activity and the proximity to the equator (thus a more tropical climate). For these desert-like areas I mostly used textures taken from the Sahara in Africa and some of Australia. Likewise, as the terrain gets higher or lower in latitude I added darker flora along with tundra and glacial ice. These northern and southern areas textures are largely taken from around northern Russia. Tropical and subtropical greens were based on the rainforests of South America and Africa.
Finally, that image was brought back into jDem846 as a layer to be reapplied to the same MOLA dataset, but rendered as a spherical projection (like Google Earth). I scripted the model to apply a three-dimensional cloud layer, add an atmosphere, and dampen specular lighting on dry land and under clouds. There are some other scripted tweaks here and there.
This wasn’t intended as an exhaustive scientific scenario as I’m sure (and expect) some of my assumptions will prove incorrect. I’m hoping at least to trigger the imagination, so please enjoy!
Some of the source images, jDem846 project files and earlier revisions are available here.
Pile it together, and it might not look like much: nine planets, around 130 satellites and a few hundred thousand larger asteroids, Kuiper belt objects and assorted debris. Most of it is dense hydrogen and helium mixtures or cold reddish-grey ice-regolith mixtures. Just about 4e27 kg or something like it.
But each little world has its own history and unique style. From the blue methane storms of Neptune to the shepherd moons dancing around each other in the rings of Saturn to the sulphuric acid rains of Venus, each world is different.
But imagine going back three billion years and changing the state of a single hydrogen atom in the sun. That change would propagate outward, producing slightly different radiation patterns. Most worlds would not change at all: the orbits are set by far greater forces than random variations in radiation pressure. Maybe a few comets would change course slightly, producing somewhat different cratering on some worlds. The weather of most planets with weather would be different by now as they amplify the change, but the general climate would be identical.
Everywhere but on the Earth.
On the Earth changes in solar radiation would lead to a different evolutionary pathway. A single UV quantum can determine the rise of an entire phylum as it causes the right mutation at the right time - or leaves the organism with a deleterious mutation that will doom its descendants. Evolution cannot be replayed, it is always live. And as life grew to encompass the Earth it changed all its systems: atmosphere, lithosphere, aquasphere and biosphere. Maybe the continents would look slightly similar today even after the quantum change, but I doubt it. Life has meddled with continental drift too - not necessarily out of any Gaian purpose, but just because it is so fond of making sediments that oil plate subduction. When intelligent life arose on Earth the rate of change grew. Now a single quantum can lead to the idea that shatters the atom, builds a self-replicating machine or approves a terraforming project.
What makes life so valuable is that it is contingent. It will never repeat itself; it is individually unique in a way asteroids can never be. An asteroid can never become much else (except a crater, a smudge in Jupiter's or the sun's atmosphere or perhaps some smaller shards), a bacterium can become anything in a biosphere given enough time.
Some have proclaimed the unchanged grandeur of the solar system to have a value in itself, something that must never be changed by human action into something else. But that is the grandeur of a dusty art museum, where the pieces eternally revolve with nobody to see them. Life means change, diversity and the unexpected. We should not terraform worlds to live on: it is too hard and expensive, better build orbiting paradises instead. But we should help life spread everywhere it can: solar-powered Von Neumann device ecologies on Mercury. A terraformed Venus shaded by a L1 solar shade and given light from rotating mirrors. The moon covered with worldhouses, each with its own artificial ecology. Modified eagles soaring through the terraformed skies in Valles Marineris. A stellified Jupiter warms its moons. Ethane based artificial biochemistry on Titan. Cold temperature nanomachines evolving their own strange adaptations on the outer moons and Kuiper belt objects, sometimes sailing on gossamer wings towards ever more remote sources of matter.
Lady Life is not a good planner, but she is a great opportunist. When she sees a niche she takes it. Her grandchildren try to help the old lady but she refuses to see it as help: to her mind, their ingenuity is hers in extension. The grandchildren nod and smile, not wanting to spoil the family reunion. Besides, her smile when she beheld her latest great-grandchild (a metallic hydrogen structure colonising the interior of Saturn) was a wonder to behold.
Still, some are not content and want to go further. The snail has stocked up with antimatter, nanotechnology, gene banks and the sum of human culture inside its radiation-proof shell and is escaping the pull from the solar system. The next one is beyond the horizon, but so far so good.
The beauty of the natural and changed world. Bountiful nature.
Details:
I used a square root scale for sizes here: the diameter of objects is proportional to the square root of the real diameter. This way one can almost see Phobos at the same time as Jupiter does not overshadow everything and the size difference between Jupiter and Saturn is still visible unlike how it would be in a logarithmic scale. The circle beneath the planets corresponds to the sun.
Rendered using Autodesk Maya and Adobe Lightroom. HiRISE data processed using gdal.
Data:
NASA/JPL/University of Arizona/USGS
Source: www.uahirise.org/dtm/dtm.php?ID=ESP_030715_1440 and www.uahirise.org/dtm/dtm.php?ID=ESP_012241_1440
Rendered using Autodesk Maya and Adobe Lightroom. HiRISE data processed using gdal.
Data:
NASA/JPL/University of Arizona/USGS
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Another 3D Fractal experiment.
Copyright © 2011 by Craig Paup. All rights reserved.
Any use, printed or digital, in whole or edited, requires my written permission.
Rendered using Autodesk Maya and Adobe Photoshop. HiRISE data processed using HiView and gdal.
Data:
NASA/JPL/University of Arizona/USGS
Rendered using Autodesk Maya and Adobe Photoshop.
Surface texture: NASA/JPL-Caltech/USGS/Kevin M. Gill
[Updated] Replaced initial uploaded version with a new render that has improved color and applies depth of field a little better.
Rendered using Autodesk Maya and Adobe Lightroom. HiRISE data processed using gdal.
Data:
NASA/JPL/University of Arizona/USGS
Modeled using Viking global composite imagery, MGS MOLA altimetry. Rendered in Autodesk Maya & Adobe Photoshop.
Rendered using Autodesk Maya and Adobe Lightroom. HiRISE data processed using gdal.
Data:
NASA/JPL/University of Arizona/USGS
The Amiga 1000 is the first personal computer released by Commodore International in the Amiga line.
It combines the 16/32-bit Motorola 68000 CPU which was powerful by 1985 standards with one of the most advanced graphics and sound systems in its class, and runs a preemptive multitasking operating system that fits into 256 KB of read-only memory and shipped with 256 KB of RAM.
Rendered in Blender using a digital terrain model and hand-map projected RGB swath from HiRISE.
Source Data Credit: NASA/JPL/University of Arizona
Data source: www.uahirise.org/dtm/dtm.php?ID=ESP_027802_1685
Jupiter with Io, Europa, Ganymede, and Callisto.
Moons are not to scale with each other and Jupiter due to camera perspective/distances (Moons are to scale in the actual model).
Rendered using Autodesk Maya & Adobe Photoshop.
Earth as it would appear should the Greenland and Antarctic ice sheets melt, raising ocean levels by an estimated 67.5 meters (~221.5 ft). The Greenland ice sheet is estimated to contribute 7 meters to global ocean levels. The Antarctic ice sheet would contribute 60 meters if fully melted. Additional glaciers and ice caps in the margins of Greenland and Antarctic peninsula would contribute an additional 0.5 meters. Roads were added for reference. Sources: ETOPO1 Global Relief 1 arc-minute elevation raster data provided by the NOAA National Geophysical Data Center. Satellite imagery provided by the NASA's Earth Observatory Blue Marble project. Estimates of ocean level effects from polar ice found on Wikipedia. Rendered using jDem846.
Frames from a movie processed / drawn in Photoshop, transformed into comics and converted from 2D to 3D.
ANAGLYPH
Required red/cyan glasses
An attempt at modeling Venus in Maya using just procedural textures (perlin noise). Adjustments using Adobe Photoshop.
Rendered using Autodesk Maya and Adobe Lightroom. HiRISE data processed using gdal.
Data:
NASA/JPL/University of Arizona/USGS
Rendered using Autodesk Maya and Adobe Lightroom. HiRISE data processed using gdal.
Data:
NASA/JPL/University of Arizona/USGS