Processing lidar and UAV point clouds in GRASS GIS (workshop at FOSS4G Boston 2017): Difference between revisions
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'''MS Windows''' | '''MS Windows''' | ||
Download the standalone GRASS GIS binaries | Download the standalone GRASS GIS binaries from [https://grass.osgeo.org/ grass.osgeo.org]. | ||
'''Mac OS''' | '''Mac OS''' |
Revision as of 03:02, 18 July 2017
Abstract: GRASS GIS offers, besides other things, numerous analytical tools for point clouds, terrain, and remote sensing. In this hands-on workshop we will explore the tools in GRASS GIS for processing point clouds obtained by lidar or through processing of UAV imagery. We will start with a brief and focused introduction into GRASS GIS graphical user interface (GUI) and we will continue with short introduction to GRASS GIS Python interface. Participants will then decide if they will use GUI, command line, Python, or online Jupyter Notebook for the rest of the workshop. We will explore the properties of the point cloud, interpolate surfaces, and perform advanced terrain analyses to detect landforms and artifacts. We will go through several terrain 2D and 3D visualization techniques to get more information out of the data and finish with vegetation analysis.
Requirements: This workshop is accessible to beginners, but some basic knowledge of lidar processing or GIS is helpful for a smooth experience.
Authors: Vaclav Petras, Anna Petrasova, and Helena Mitasova from North Carolina State University
Preparation
Software
GRASS GIS 7.2 compiled with libLAS is needed (e.g. r.in.lidar should work).
OSGeo-Live
All needed software is included.
Ubuntu
Install GRASS GIS from packages:
sudo add-apt-repository ppa:ubuntugis/ubuntugis-unstable sudo apt-get update sudo apt-get install grass
Linux
For other Linux distributions other then Ubuntu, please try to find GRASS GIS in their package managers.
MS Windows
Download the standalone GRASS GIS binaries from grass.osgeo.org.
Mac OS
Install GRASS GIS using Homebrew osgeo4mac:
brew tap osgeo/osgeo4mac brew install grass7
Note that currently (summer 2017) r.in.lidar is often not accessible on Mac OS, use r.in.ascii in combination with libLAS or PDAL command line tools to achieve the same. Note also that the 3D view may not be accessible.