https://github.com/enricofer/lidex
lidar extractor
https://github.com/enricofer/lidex
Last synced: 3 months ago
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lidar extractor
- Host: GitHub
- URL: https://github.com/enricofer/lidex
- Owner: enricofer
- Created: 2024-07-18T13:11:08.000Z (10 months ago)
- Default Branch: master
- Last Pushed: 2025-02-09T10:48:07.000Z (3 months ago)
- Last Synced: 2025-02-09T11:18:24.731Z (3 months ago)
- Language: Vue
- Size: 23.5 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# LIDar EXtractor
A Django app for easy publishing and serving human friendly extraction of point cloud coverage
## Build docker containers
```
docker compose build
```
## Copy coverage data
Copy the point cloud coverage and dtm/dsm raster data inside .data/coverage folder
A test coverage is available in `test_coverage` folder
```
mv test_coverage/* data/coverage/
```
## Configuration
- copy enviroment variables template
`cp .env_template .env`
- edit config file
`nano .env`
- edit webgis default config (ref: [wegue configuration](https://wegue-oss.github.io/wegue/#/wegue-configuration))
`nano wegue_custom_app/wegue_custom/static/app-conf.json`
## Start Service
```
docker compose up -d
```
## Scan for coverage updates
open in browser to update coverage index
```
[webapp base url]/lidex/rescan/
```
## Endpoints
- #### rescan .laz/.las coverage for updates
`[webapp base url]/lidex/rescan/` returns json results]
- #### raster sampling
`[webapp base url]/lidex/raster/?sample=[x],[y]` returns json results]
- #### DXF profile extraction
`[webapp base url]/lidex/profilo/[supporto]/ POST json data with line geometry` returns json results with dxf output location]
- #### Point cloud extraction in format .laz
`[webapp base url]/lidex/punti/ POST json data with extent or geom(wkt geometry) ` returns json results with laz result and potree static site output location]
- #### Output file
`[webapp base url]/lidex/output_file/[dir]/[file]/` returns file response
- #### Viewshed
`[webapp base url]/lidex/viewshed/?observation=[x],[y]` returns file response with the location of dsm viewshed visibility from observation point