This class will address new methodologies to acquire and analyze topographic data at all scales. Methodologies such as airborne LIDAR and optical image correlation (regular camera and satellite images) will be presented along with examples from earth sciences. One session will be dedicated to point cloud analysis tools. Hand-on experiments on computer will be proposed using open-source softwares such as MicMac (for optical correlation) and CloudCompare (for point cloud analysis).
The number of places is limited. Computers will be available for the practical parts.
Link to the École Doctorale courses webpage with access to the inscription form.
Centimeter to decimeter-scale 3D sampling of the Earth surface topography and vegetative cover coupled with photorealistic coloring of point clouds and texture mapping of meshes enables a wide range of scientific research and applications. The configuration and state of the surface is valuable, and repeat surveys enable quantification of topographic change. Acquisition and use of these data are rapidly growing. I will demonstrate the OpenTopography system (opentopography.org) including recent updates and discuss opportunities for the community. My presentation will emphasize raster processing of digital topography. Participants may want to have available raster tools such as ArcGIS, Matlab, QGIS, etc. to follow along in aspects of the demonstrations.
This course will introduce the principles of photogrammetry and its application to the calculation of topography and the measurement of ground deformation from optical images. The practical part will take advantage of the open-source software MicMac (micmac.ensg.eu), developped at IGN.
In this short course, we will use Cloudcompare (cloudcompare.org), an open source 3D point cloud processing software, to perform elementary operations from which complex workflows can be built on to extract processed information for earth sciences applications. Cloudcompare can process any kind of 3D data including airborne lidar, terrestrial lidar, SFM point clouds, stereo-satellite imagery... We will practice the following operations: