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Lidar, drones and other 3D scanner technologies produce set of data point in space called point clouds. Applications of point cloud technology are diverse and range from topography, 3D CAD modeling to hydrogeology and environmental studies.
However, traditional GIS tools haven’t been able to work successfully with point clouds, since point clouds are too dense to be represented as points, and the analysis or interpolation from point clouds in GIS requires great amount of computer resources. There other tools specifically designed for point cloud processing like the Point Data Abstraction Library (PDAL) that is a project supported by OSGeo for point cloud data transformation.
This webinar has the intention to introduce you to point clouds produced by LIDAR and drone imagery on LAS and PLY format and the main features of the PDAL library on a practical exercise over two point cloud dataset.
Content
The webinar has the following info:
Introduction to PDAL
Review of Readers and Writers
Implementation of Pipelines
From a LIDAR LAS file:
Get LAS info and metadata
Translate to txt
Export to Geojson
From drone imagery LAS files processed with OpenDroneMap:
Translation from PLY3D Mesh to LAS
LAS coordinate system reprojection
Review of LAS system of coordinates
LAS transformation to DEM on TIF format
Clip LAS to shapefile
Representation of point cloud in QGIS
Date and time
August 13, 2019 at 11 am. Lima Time (GMT -5)
Estimated duration: 1h 45m.
Registration will be available till August 9.
Participation
This webinar is intended for any audience related to the topic. The workshop has no cost. However, participants are required to sent the screenshot as described on the this video to saulmontoya@hatarilabs.com . A confirmation email will be sent.
Anaconda distribution: https://www.anaconda.com/distribution/
Conda command: conda install -c conda-forge pdal
Input files: https://drive.google.com/drive/folders/1k2r8zdnkxK9HkG0XcLb4yukpHvtbHjLO?usp=sharing
