!!better!! — Musihacks.com

Musihacks is an online music education platform created by Jaime Altozano that offers courses on piano, harmony, and music theory, designed to make complex concepts accessible. The platform provides unlimited access to structured lessons and features a dedicated mobile app for viewing content. Explore the available courses and frequently asked questions at Musihacks.com Cursos de Música Online | Musihacks con Jaime Altozano

1. Browse by Genre: Use the navigation bar to filter between Hip Hop, EDM, Pop, or Cinematic.
2. The "Freebies" Section: A great place to start. The free section typically requires an email sign-up. Given the quality of the entry-level packs, it is well worth the 30 seconds to join the newsletter.
3. Premium Vault: For producers looking to step up their game, the premium section offers "The Producer’s Vault." This often includes seasonal bundles (e.g., "Winter Melodies 2024" or "Summer Anthem Kits").

Jaime Altozano

Musihacks: The Revolution in Online Musical Education Musihacks.com is a leading online music academy founded in 2021 by , a renowned Spanish musician and YouTube educator. The platform was created to reorder traditional music learning, focusing on enjoyment, intuition, and practical application from day one rather than starting with dry theory. The Visionaries Behind the Platform Musihacks.com

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This map is a synthesis between my original earth map, gradient mapping of the USGS DEM information, hand painting, DEM modulation of detail, bathyspheric depth information, and the USGS Ocean clip. Bathyspheric data was used to modulate the color of the water so that deeper areas are a darker blue than shallow areas.

This is pieced together exclusively from the USGS DEM database. It contains landmass elevations only, with the ocean at zero, and the top of Mt. Everest at 255. Use this as a bump map to give the appearance of the Earth's rugged surface features. Some madmen have also used this data in POV Ray as a displacement map on a very finely divided sphere to produce a "true" 3D version of the Earth. The 10K version is VERY large, so make sure you really need that much detail.

This is derived from USGS DEM data, with the addition of the Arctic ice areas which do not show up on USGS data (since they are not solid land masses.) Use this to control specularity and reflectance of the ocean surface.

1024 x 512 color image. Very similar to the night lights map as published by NASA on their Blue Marble Page. I took their 30000 x 15000 black and white city lights map, and adapted it with a color table to a colorized version of my earth color map. This comes in 2k, 4k, and 10k versions in color, as opposed to the maximum 2k size of the NASA version of this map (higher resolution versions are available on the paid page only because of their size). Be sure to have a look at the tutorials page for a special rendering tip for using this map.

1024 x 512 color image. Based on a mosaic of satellite data, colorized, data errors retouched out, and fixed for seamless wrapping.

1024 x 512 greyscale image. Based on the same data as the color map, but leveled for the purpose of transparency mapping.

4096 x 2048 greyscale image. Built up out of real satellite imagery based upon a tutorial Dean Scott of Silicon Magic has posted. This is posted in JPEG2000 format. You need a special Photoshop plug-in to make use of jp2 images. I've thoughtfully provided a link:

JPEG 2000 Plugin from Fnord.

!!better!! — Musihacks.com

The Moon is a tricky planetoid to render. It has a very distinctive albedo which remains constant across its lit side, regardless of the angle of the surface to the sun. Therefore, standard rendering lighting models do not apply, as they always have a characteristic drop off in intensity as the angle of incidence to the light source increases. In Lightwave, there is an option to use a "non-Lambertian" lighting model on a surface setting. In previous versions of Cinema4D, you had a contrast control in the lighting setup. More recent versions of Cinema4D feature an Oren/Nayar illumination model in the lighting setup which allows you to simulate the lighting properties of "rough" surfaces. This is the method I used on the same pictured here.

This map is based on a mosaic of satellite data, retouched for visible mosaic seams and for problems with the wrapping seam. Since this image contains highlight and shadow information independent of the location of your light source (inevitable because of how the moon is illuminated by the sun), you'll need to be careful how you light this so you don't break the illusion.

This map is my attempt to derive bump information from the above map. I did a high-pass filter operation to find all the edges of the craters, and then curved the result so that blacks and whites were white, and mid-tones were black. The results came out pretty well, as you can see from the sample image above.