Development of a QGIS Plugin Using Python and QtDesigner for Simplified Generation of Digital Terrain Models from LiDAR Data. This work involves the creation of a QGIS (Quantum Geographic Information System) plugin using the Python programming language and the QtDesigner interface, aimed at facilitating and simplifying the generation of Digital Ter
Development of a QGIS Plugin Using Python and QtDesigner for Simplified Generation of Digital Terrain Models from LiDAR Data. This work involves the creation of a QGIS (Quantum Geographic Information System) plugin using the Python programming language and the QtDesigner interface, aimed at facilitating and simplifying the generation of Digital Terrain Models (DTMs) from LiDAR (Light Detection and Ranging) data. The project encompasses advanced processing tasks of LiDAR point clouds, enabling the automation of Digital Surface Models (DSMs) and DTMs creation so that users can generate their own DTMs/DSMs from LiDAR data sources with minimal steps. These data can be downloaded from the IGN (Instituto Geográfico Nacional) or any other source adhering to the LiDAR classification standard. The workflow is semi-automatic and entirely programmed in Python. Numerous instructional video tutorials are integrated into the plugin to assist users. The final output includes digital terrain models in raster format, mesh creation, and 3D models. It also supports exportation to various formats, 3D model visualization, and the printing of thematic maps in PDF and georeferenced PNG images. Additionally, a 3D model file in STL format can be created for 3D printers, allowing for the production of a physical terrain model.
antoniocarlosbenavides
commented
2 months ago
Development of a QGIS Plugin Using Python and QtDesigner for Simplified Generation of Digital Terrain Models from LiDAR Data. This work involves the creation of a QGIS (Quantum Geographic Information System) plugin using the Python programming language and the QtDesigner interface, aimed at facilitating and simplifying the generation of Digital Terrain Models (DTMs) from LiDAR (Light Detection and Ranging) data. The project encompasses advanced processing tasks of LiDAR point clouds, enabling the automation of Digital Surface Models (DSMs) and DTMs creation so that users can generate their own DTMs/DSMs from LiDAR data sources with minimal steps. These data can be downloaded from the IGN (Instituto Geográfico Nacional) or any other source adhering to the LiDAR classification standard. The workflow is semi-automatic and entirely programmed in Python. Numerous instructional video tutorials are integrated into the plugin to assist users. The final output includes digital terrain models in raster format, mesh creation, and 3D models. It also supports exportation to various formats, 3D model visualization, and the printing of thematic maps in PDF and georeferenced PNG images. Additionally, a 3D model file in STL format can be created for 3D printers, allowing for the production of a physical terrain model.
https://github.com/antoniocarlosbenavides/ACBDEM.git