3D spatiotemporal analytics and visualization
Helena Mitasova, Anna Petrasova, Vaclav Petras, Brendan Harmon
Center for Geospatial Analytics, North Carolina State University
NCSU OSGeoREL
- NCSU Open Source Geospatial Research and Education Laboratory
- Member of Geo4all initiative: global network for foss4g education
- 91 labs on all continents
- NCSU NA leading lab: GRASS GIS development, courses, research projects
- geospatial.ncsu.edu/osgeorel (GitHub: ncsu-osgeorel)
GRASS GIS: geospatial research platform
grass.osgeo.org
- general purpose desktop GIS with updated wxPython GUI
- backend processing for QGIS, R statistics, WebGIS
- powerful geospatial 2D/3D raster, imagery and vector processing
- single integrated software with 30 years of development
GRASS GIS 7: Spatiotemporal 3D GIS
- Temporal framework for large raster and vector time series
- 2D and 3D dynamic visualization
- pyGRASS: python interface to the GRASS C library
- spgrass7 for coupling with R
- 350+ core modules and rapidly growing add-ons contributed by the community
DEM time series visualization:
Jockey's Ridge migration 1974 - 2012
Space-Time Cube visualization:
Jockey's Ridge 16m, 20m contour evolution isosurfaces
UAS data acquisition for high resolution modeling
- NGAT Trimble UX5 system at NCSU Lake Wheeler experimental farms
- Orthophoto (3cm res.) draped over a Digital Surface Model (DSM, 15cm res.)
Data acquired by NCSU NGAT, processed by Justyna Jeziorska, U. Wroclaw
UAS DSM and water flow modeling
- DSM of tilled fields at NCSU Lake Wheeler experimental farms
- Simulated surface water depth captures flow redirection by tillage
Centennial Campus case study
- 3D data acquired by lidar in 2001 and 2013
- used as study area for several courses
- Lidar data processing, surface runoff assessment, trails planning
Centennial Campus
Solar radiation modeling: summer and winter solstice dynamics
Centennial Campus
Fire spread modeling using fuel estimates from lidar data and with a fire break:
Interactive Centennial Campus
Tangible landscape: overview
Collaboration with industry using open source concept
- develop a open source library of algorithms (BSD or MIT license)
which allow incorporation of the library into both open source and proprietary applications
in academia and industry
- example of a project using this approach: PCL (http://pointclouds.org/)
which is created by
"research institutes, university labs, and companies, all collaborating for the same purpose:
advance the state of the art, and simplify the work that young PhD students and commercial companies need to perform in order to build their products."