Hot answers tagged dem
Blender has a Python API. Therefore, I use Python in Blender and import the GDAL libraries and construct a Blender-native mesh directly from the GIS data. The only thing you need to be careful of is that the version of GDAL you have matches the version of Python in the Blender release you are using. EDIT Plugins: If you don't want to write your own script ...
It is hard to tell without an image, but this is probably due to a shift in plane coordinates. e.g. If you have the same mountain shifted toward the south, you will systematically overestimate the height on the South face, and underestimate it on the North face. So you end up with darker areas always on the same face. A good way to check for shift is to ...
I got good results with mDenoise. This tool uses the Sun's denoising algorithm which removes noise without filtering sharp edges like ridges or peaks. Good for mountainous areas especially high mountains. You can define the threshold and the number of iterations. You have to try something around to get the best result. Before denoising ASTER GDEM2: After ...
Try to use the algorithm embedded in the CanopyModel command-line program available in the Fusion/LTK software (it is free). See on the manual's page 26: CanopyModel creates a canopy surface model using a LIDAR point cloud. By default, the algorithm used by CanopyModel assigns the elevation of the highest return within each grid cell to the grid cell ...
Never tried it, but here is NVIZ. All you need is QGIS, which you can download for Ubuntu Linux.
For the contouring there are several open source solutions like CONREC from Paul Bourke, OPENCV has also a proper contouring algorithms and my stuff is also available. The more complex stuff, to build the regular mesh from a irregular point set can be done by triangulation and resampling with triangle or CGAL.
You can find contour tools in GME or ETgeowizard. If you want to create contour from points, you could try reclassify your points into some height categories, then use dissolved buffer, but this will create artefacts. A proper way is to use Thiessen polygons, but this will require huge processing (and you'll need advanced licence).
LAStools! http://rapidlasso.com/lastools/ Super fast LiDAR processing tools (either standalone or as ArcGIS toolbox). They have a las2dem tool which can create output in any of these formats: BIL, ASC, IMG, FLT, XYZ, DTM, TIF, PNG or JPG. Enjoy.
You could simply add a dem file as *.tif in blender with the "import image as plane" addon. See this post where you can see how i made some high resolution 3d maps using a dem in blender: -> http://gis.stackexchange.com/a/80842/24809 After loading the dem into blender you can also edit it as you can edit an image.
nviz is not a standalone application, it is part of GRASS GIS, for 3D visualization and animation. If you want to export rasters, you need GRASS GIS (or GRASS in QGIS). You can export DEMs in various file formats, including Terragen Heightfield (.ter), VTK, PovRay, xyz, etc. You can also use Paraview to open the VTK files and export them to other various ...
Go Raster->Conversion->Translate and then set the output to ASCII XYZ from the drop-down menu when you specify the output file. An alternative ASCII format you may care to consider is the ESRI ASC format, which is smaller because it only lists the height (Z) and has a header which sets the raster origin and resolution. The Xand Y fields are now superfluous ...
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