High-resolution heightmaps and geometry for Bulgaria Texture

cgtrader

Bulgaria is a treasure trove of high-resolution heightmaps and geometries. A visual feast awaits you in the preview images, where heightened peaks and valleys are showcased to make viewing easier, though the actual height values remain unchanged. Greyscale hues between 0-1 translate directly into metres between -100 and 10,000, giving developers a broad range of possibilities to work with. To get optimal results, these greyscale values need to be expertly remapped accordingly. This ensures that even the slightest nuances in landscape topography are captured perfectly. Inside these files, you'll find Latitude/Lon coordinates that neatly align with specific geographic boundaries: Latitude-wise, we're dealing with a minimum of 41 degrees north and a maximum of 45 degrees. Longitude-wise, it's all about working within a latitude- longitude span from 22 to 29 degrees east. In addition to Lat/Lon aligned data, some of these files also use Cartesian projections, taking geographic coordinates on Earth and projecting them onto an enormous virtual sphere before finally bringing the whole setup down to size. This process promises less distortion for developers using these heightsmaps - and for those preferring to work with Mercator projection mapping systems. So there are a number of unique images in the package that developers can choose from, all packed tightly with valuable elevation data: You'll see the Bulgaria Cartestian Heightmap coming in at 5166x3417, complete with accompanying .exr file - each meticulously maintaining an astonishing level of detail across the entire dataset. Meanwhile, its fellow companion has its coordinates precisely pinned on to latitude longitude bounds: min/max Lat Lon for a beautiful Bulgaria spanning all across 7168 by 4096 exr/jpeg resolutions alike - so developers get total flexibility. There's more too; inside preview0.jpg you see heightmaps set firmly onto that particular geography of Earth's globe as depicted above using cartesian lat lon coordinates mapped accurately according to earths ellipsoid, but then distorted in other projection maps so we can view those shapes & elevation differences much more easily even without looking directly.