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Jens Wiesehahn wiesehahn
wiesehahn
/ fnews_time_series_explorer.js
Last active
July 15, 2021 10:46
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| /** | |
| * 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 | |
| * |
wiesehahn
/ lidar_availability_germany.md
Last active
July 1, 2024 13:08
wiesehahn
/ geodata_formats.md
Last active
August 18, 2022 14:17
information about alternative geodata formats
| Format | Vector | Raster | Pointcloud | tiled |
|---|---|---|---|---|
| COMTiles | ✓ | ✓ | ✓ | |
| COG | ✓ | |||
| FlatGeobuf | ✓ | |||
| PMTiles | ✓ | ✓ | ? | ✓ |
| GeoParquet | ✓ | |||
| TileDB | ✓ | ✓ | ✓ | ✓ |
| COPC |
wiesehahn
/ forest-disturbance-projects.md
Last active
December 18, 2023 19:51
Current projects working on forest disturbance mapping with EO data (focus on Germany)
| 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 |
wiesehahn
/ als_data_germany.md
Last active
July 1, 2024 13:02
Summary of airborne laser scanning (ALS) data availability for federal states of Germany
| Federal State | Cost (min)[^1] | Cost (max)[^2] | Year (from)[^3] | Year (to)[^4] | Point Density[^5] | Format | CRS (EPSG) |
|---|---|---|---|---|---|---|---|
| Baden-Württemberg | 10 | 80 | 2016 | 2021 | 8 | LAZ 1.2 | 25832 |
| Bavaria | 0 | 0 | 2011 | 2021 | 1-4 | LAZ 1.2 | 25832 |
| Berlin | 0 | 0 | 2021 | 2021 | 10 | LAS 1.4 | 25833 |
| Brandenburg | 0 | 0 | 2017 | 2022 | 5 | LAZ 1.4 | 25833 |
| Bremen | 80 | 80 | 2017 | 2017 | ? | ? | 25832 |
| Hamburg | ? | ? | 2020 | 2020 | ? | ? | 25832 |
| Hesse | 0 | 0 | 2009 | 2020 | 4 | LAS 1.3 | 25832 |
| Mecklenburg-Western Pomerania | 10 | 80 | 2012 | 2022 | 2-5 | LAZ 1.2 | 25833 |
wiesehahn
/ render_pointcloud.R
Created
September 10, 2023 12:14
Example how to render pointclouds in R with rayrender
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| ##___________________________________________________ | |
| ## | |
| ## Script name: render_pointcloud.R | |
| ## | |
| ## Purpose of script: | |
| ## render forest plot pointcloud with raytracing | |
| ## | |
| ## Author: Jens Wiesehahn | |
| ## Copyright (c) Jens Wiesehahn, 2023 | |
| ## Email: wiesehahn.jens@gmail.com |
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https://raw.githubusercontent.com/rstudio/cheatsheets/main/package-development.pdf
# create package
create_package("path/to/name")