Docker version of TouchTerrain
- I created a Docker image of TouchTerrain that makes is easy(er) to run the stand-alone version via a jupyter notebook.
- After installing the image and running the container, you will have a virtual Linux box running inside your PC/Mac, with all required python packages already installed.
- Shell scripts are provided to install
the latest version of TouchTerrain and to run a jupyter server inside
the container. The server that can be accessed through your standard,
local browser and you can download and upload files through jupyter.
- A new notebook (
TouchTerrain_jupyter_for_starters.ipynb) will hopefully make is easy for beginners to work through the workflow of creating a 3D terrain model file in standalone mode.
- The github repo for the Docker version is:
Added two new DEM sources:
Note that both DEMs are image collections, rather than a single image as can seen here for the Australia DEM (black patches):
NRCan/CDEM: The Canadian Digital Elevation Model (CDEM) is part of Natural Resources Canada's (NRCan) altimetry system and stems from the existing Canadian Digital Elevation Data (CDED). The CDEM is comprised of multiple DEMs with varying resolutions. These vary according to latitude and have a base resolution of 0.75 arc-seconds (about 20m).
AU/GA/AUSTRALIA_5M_DEM: The Digital Elevation Model (DEM) 5 Metre Grid of Australia derived from LiDAR model represents a National 5 metre (bare earth) DEM which has been derived from some 236 individual LiDAR surveys between 2001 and 2015 covering an area in excess of 245,000 square kilometres. All available 1 metre resolution LiDAR-derived DEMs have been compiled and resampled using a neighbourhood-mean method to 5 metre resolution.
Zoomed into an urban area. As Lidar cannot image water surfaces, these areas will always be set to NaN and will be omitted from the terrain model.
Even at "only" 5 m resolution, it still shows some nice details!