Creating a geological database using historic and contemporary information
summary
Hobby project compiles historic maps, WebODM orthophotos and modern LiDAR into a geoscience database served as QGIS vector layers and interpolated drillhole surfaces; orthophoto stitching and georeferencing work reliably, CPT logs produce modeled sand base contours that reveal tectonic tilting and ~3 mm/yr river downcutting, and mapped terraces, landslides and a mud‑volcano flow are digitized at about 1:2,000 effective detail for council and consultants. WebODM orthophotos QGIS-modeled surfaces LiDAR-derived DEMs 3 mm/yr river downcutting
AI-written summary · about
chapters (7)
- 0:00Introduction and motivation
- 3:16Challenges in traditional geological mapping
- 6:54Compiling historical geological data
- 10:03Modern tools for geological analysis
- 15:07Outputs and geological interpretations
- 19:22Conclusion and future opportunities
- 20:04Q&A session
related talks
50mUnearthing the Past with PostgreSQL...
19mThe Power of GeoDjango
54mGeoDjango
17mLaying the Foundations for a National Building Outlines Dataset
16mMapping Marine Diversity: using QGIS to visualise and extract biodiversity data
37mProcessing Open Street Map Data with Python and PostgreSQL
18mA journey in geospatial timeseries
25mLand-use mapping with a Discrete Global Grid System
