Testing classify_with_ivf and classify_with_sor from lasR across heterogeneous ALS data. For each parameter combination: noise points classified (class 7), runtime, and a qualitative score out of 10.
classify_with_ipf was excluded after initial tests showed poor performance and slow runtimes.
This table summarizes the ASPRS (American Society for Photogrammetry and Remote Sensing) standard classification codes used in LiDAR point cloud data according to LAS Specification 1.4 - R16.
| Value | Meaning |
|---|
| # pak::pak("USDAForestService/gdalraster") | |
| library(gdalraster) | |
| library(purrr) | |
| library(fs) | |
| # sset gdal configurations | |
| set_config_option("GDAL_NUM_THREADS", "16") | |
| set_config_option("GDAL_CACHEMAX", "4000") | |
| set_config_option("OVERVIEWS", "IGNORE_EXISTING") |
https://raw.githubusercontent.com/rstudio/cheatsheets/main/package-development.pdf
# create package
create_package("path/to/name")
| ##___________________________________________________ | |
| ## | |
| ## Script name: render_pointcloud.R | |
| ## | |
| ## Purpose of script: | |
| ## render forest plot pointcloud with raytracing | |
| ## | |
| ## Author: Jens Wiesehahn | |
| ## Copyright (c) Jens Wiesehahn, 2023 | |
| ## Email: [email protected] |
| Project | Title | Editor | Description | Data | Methods | Duration |
|---|---|---|---|---|---|---|
| FNEWs | Fernerkundungsbasiertes Nationales Erfassungssystem Waldschäden | Thünen-Institut, Joanneum, WSL, Sachsenforst, LWF, FVA-BW, NW-FVA | Entwicklung und Implementierung eines fernerkundungsbasierten Erfassungssystems für Waldschäden in Deutschland. | Sentinel-1, Sentinel-2, Orthofotos, PlanetLabs | Zeitreihenanalyse, ... | 2020-2023 |
| WSF-SAT | Satellitenbasierte Erfassung von Waldschadensflächen in Niedersachsen | NW-FVA | Aufbau eines Monitoringsystems zur regelmäßigen Erfassung von Schadflächen in niedersächsischen Wäldern. | Sentinel-2, PlanetLabs | Random-Forest Klassifizierung | 2020-2023 |
| VTMForest | Vitality and Dryness Monitoring of Forests | LWF, DLR | Es wird untersucht inwiewei |
| Format | Vector | Raster | Pointcloud | tiled |
|---|---|---|---|---|
| COMTiles | ✓ | ✓ | ✓ | |
| COG | ✓ | |||
| FlatGeobuf | ✓ | |||
| PMTiles | ✓ | ✓ | ? | ✓ |
| GeoParquet | ✓ | |||
| TileDB | ✓ | ✓ | ✓ | ✓ |
| COPC |
Important
This gist is currently not updated, to find a more recent version go to https://wiesehahn.github.io/posts/lidar_availability/
Die Informationen wurden aus verschiedensten Quellen (Homepages, Geodatenportale, Emails, Gespräche,...) zusammengertragen. Die Informationen können daher auch fehrlerhaft, veraltet oder unvollständig sein.
| /** | |
| * This script is run on Google Earth Engine and aims to facilitate the detection | |
| * of disturbances and their date. | |
| * | |
| * original scirpt written by Justin Braaten | |
| * adapted to FNEWS project needs by Jens Wiesehahn | |
| * | |
| * Most up-to-date script version can be accessed here: | |
| * https://code.earthengine.google.com/?scriptPath=users%2Fwiesehahn%2Ffnews%3Aeo_time_series_explorer | |
| * |