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# Geodata and Tooling Citation
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## 1) LVermGeo RLP / GeoShop RLP (terrain, ortho, buildings)
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Source: GeoShop RLP - Digitale Gelaendemodelle (DGM)
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Source URL: https://geoshop.rlp.de/digitale_gelaendemodelle/digitale_gelaendemodelle_dgm.html
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GeoShop entry point: https://geoshop.rlp.de/
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Open data portal: https://www.lvermgeo.rlp.de/geodaten-geoshop/open-data
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License: Data Licence Germany - Attribution - Version 2.0 (dl-de/by-2-0)
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License URL: https://www.govdata.de/dl-de/by-2-0
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Accessed: 2026-01-19
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Products used:
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- DGM1 (Digitales Gelaendemodell, GeoTIFF)
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- DOM1 (Digitales Oberflaechenmodell, GeoTIFF)
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- DOP20 (Digitale Orthophotos, JP2)
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- 3D-Gebaeudemodelle LOD2 (CityGML)
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- BDOM20RGBI (Gebaeude-/Objektpunktwolke, LAZ)
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- LPOLPG (LAS-Punktwolke, kombiniert; abgeleitete Teilmengen: LPG/LPO)
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GeoBasis download patterns used in the pipeline:
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- DGM1: `https://geobasis-rlp.de/data/dgm1/current/tif/dgm01_32_{x}_{y}_1_rp.tif`
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- DOM1: `https://geobasis-rlp.de/data/dom1/current/tif/dom1_32_{x}_{y}_1_rp_2020.tif`
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- DOP20: `https://geobasis-rlp.de/data/dop20rgb/current/jp2/dop20rgb_32_{x}_{y}_2_rp_2023.jp2`
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- LoD2 CityGML: `https://geobasis-rlp.de/data/geb3dlo/current/gml/LoD2_32_{x}_{y}_2_RP.gml`
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- BDOM20RGBI: `https://geobasis-rlp.de/data/bdom20rgbi/current/las/bdom20rgbi_32_{x}_{y}_2_rp.laz`
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- LPOLPG: `https://geobasis-rlp.de/data/las/current/las/lpolpg_32_{x}_{y}_1_rp.laz`
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Required attribution (verbatim):
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(c) GeoBasis-DE / LVermGeoRP 2026, dl-de/by-2-0, www.lvermgeo.rlp.de
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If modified, append:
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[Data modified] (or in German: [Daten bearbeitet])
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## 2) HydroRIVERS (river network for erosion workflow)
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Dataset: HydroRIVERS v1.0 (Europe tile used in pipeline)
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Download URL used by pipeline: https://data.hydrosheds.org/file/HydroRIVERS/HydroRIVERS_v10_eu_shp.zip
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Project page: https://www.hydrosheds.org
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License: Covered by the HydroSHEDS License Agreement (see https://www.hydrosheds.org)
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Accessed: 2026-01-23
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Recommended citation (from HydroRIVERS Technical Documentation v1.0):
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Lehner, B., Grill G. (2013): Global river hydrography and network routing: baseline data and new approaches to study the world's large river systems. Hydrological Processes, 27(15): 2171-2186. Data is available at www.hydrosheds.org.
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## 3) HydroLAKES (lake depth support for erosion workflow)
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Dataset: HydroLAKES v1.0 polygon database
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Download URL used by pipeline: https://data.hydrosheds.org/file/hydrolakes/HydroLAKES_polys_v10_shp.zip
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Project page: https://www.hydrosheds.org
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License: Creative Commons Attribution 4.0 International (CC BY 4.0)
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License URL: https://creativecommons.org/licenses/by/4.0/
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Accessed: 2026-01-23
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Recommended citation (from HydroLAKES Technical Documentation v1.0):
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Messager, M.L., Lehner, B., Grill, G., Nedeva, I., Schmitt, O. (2016): Estimating the volume and age of water stored in global lakes using a geo-statistical approach. Nature Communications: 13603. doi: 10.1038/ncomms13603. Data is available at www.hydrosheds.org.
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## 4) GeoData pipeline tools used
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Core geospatial and conversion tooling used by `GeoData/geodata_to_unity.py` and `GeoData/geodata_pipeline/`:
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- Python (project runtime; configured for 3.11-3.12)
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- `uv` (environment and dependency management)
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- GDAL / OGR / OSR (`osgeo`) including `gdalbuildvrt`
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- PDAL
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- citygml-tools 2.4.0
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- cjio (`cjio[export,reproject]`)
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- laspy (`laspy[lazrs]`)
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- NumPy
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- SciPy
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- scikit-learn
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- Shapely
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- trimesh
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- requests
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- tomli-w
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Reference implementation locations:
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- Dependencies: `GeoData/pyproject.toml`
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- Main CLI: `GeoData/geodata_to_unity.py`
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- Pipeline modules: `GeoData/geodata_pipeline/`
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## 5) Numerical methods and related implementations (BibTeX)
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```bibtex
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@article{saetra2012,
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title={Shallow Water Simulations on Multiple GPUs},
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author={S{\ae}tra, ML and Brodtkorb, AR},
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year={2012}
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}
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@book{toro2009,
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title={Riemann Solvers and Numerical Methods for Fluid Dynamics},
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author={Toro, EF},
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edition={3},
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year={2009}
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}
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@article{kader2022,
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title={A New Variant of Rusanov Scheme},
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author={Kader, ...},
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journal={IJAM},
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year={2022}
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}
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@article{audusse2004,
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title={A Fast and Stable Well-Balanced Scheme...},
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author={Audusse, E and Bouchut, F and ...},
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year={2004}
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}
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@github{bshishov2019,
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title={UnityTerrainErosionGPU},
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author={Bshishov, A},
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url={https://github.com/bshishov/UnityTerrainErosionGPU}
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}
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```
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133
README.md
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README.md
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## GeoData Toolkit
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# GeoData
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This repository converts DGM1 elevation tiles into Unity-ready 16-bit PNG heightmaps and a placement manifest. It relies on GDAL for mosaicking, resampling, and scaling to UInt16 ranges Unity expects.
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Toolkit zum Export von Geodaten in Unity-kompatible Assets (`export_unity/...`).
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### Prerequisites
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## 1) Wie startet man das Projekt?
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- `uv` installed. Use Python 3.10–3.12 for now (`triangle2` from `cjio[export]` has no CPython 3.13 wheels).
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- Optional: Java 17+ if you want to experiment with the bundled `citygml-tools` utilities (not needed for heightmaps/orthophotos).
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### Environment setup (uv)
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**Voraussetzungen**
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- Install deps (creates `.venv` if missing): `uv sync`. You can skip manual activation by prefixing commands with `uv run ...`; if you prefer activation, run `uv venv && source .venv/bin/activate`.
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- Python `>=3.11,<3.13`
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- `uv run <cmd>` executes with the project environment (e.g., `uv run python geodata_to_unity.py --setup`). Use `--directory` to target another path if needed; `--offline` disables network fetches.
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- `uv`
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- If wheels fail to resolve, ensure system GDAL is present (e.g., `brew install gdal` or `apt-get install gdal-bin libgdal-dev`), then rerun `uv sync`.
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- GDAL (inkl. `osgeo`)
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- Create the default directory tree and config: `uv run python geodata_to_unity.py --setup` (or `bash scripts/setup_dirs.sh` for directories only).
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- Optional fuer Gebaeude: `cjio`, `citygml-tools`
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### Repository Layout
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**Schnellstart**
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- `raw/` — working inputs (not versioned): `raw/dgm1/`, `raw/dop20/jp2/`, `raw/citygml/lod1/`, `raw/citygml/lod2/`.
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```bash
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- `archive/` — offline storage for untouched downloads (e.g., zipped DOP/CityGML tiles, dop20 filelist).
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cd GeoData
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- `work/` — intermediates such as `dgm.vrt` and `_tmp.tif` files; safe to delete/regenerate.
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uv sync
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- `export_unity/height_png16/` — final 16-bit PNG heightmaps for Unity import.
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uv run python geodata_to_unity.py --setup
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- `export_unity/tile_index.csv` — manifest mapping tile IDs to world bounds and scaling ranges (`global_min/global_max` plus per-tile `tile_min/tile_max`), plus `tile_key`; built during heightmap export and required by orthophotos.
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uv run python geodata_to_unity.py --export all
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- `export_unity/ortho_jpg/` — cropped orthophoto tiles aligned to the terrain grid (JPEG + worldfiles).
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```
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- `geodata_to_unity.py` — main CLI (uses `geodata_pipeline/` library modules).
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- `scripts/` — helpers to create the directory tree and fetch DOP20 inputs.
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- `geodata_config.toml` — generated config (see `geodata_config.example.toml` for defaults).
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- `AGENTS.md` — contributor guide.
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### Quick Start
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**Alternative mit Archivdaten**
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1. Activate the uv venv (`source .venv/bin/activate`) or prefix commands with `uv run`.
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```bash
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2. Initialize config + directories: `uv run python geodata_to_unity.py --setup`.
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uv run python geodata_to_unity.py --build-from-archive --export all
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3. Export assets (builds VRTs automatically if missing):
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```
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```bash
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uv run python geodata_to_unity.py --export all
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# heightmaps only: uv run python geodata_to_unity.py --export heightmap
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# textures only: uv run python geodata_to_unity.py --export textures
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# buildings: uv run python geodata_to_unity.py --export buildings
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# trees (CSV+GLB): uv run python geodata_to_unity.py --export trees
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```
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4. Import the PNGs into Unity Terrains using `tile_index.csv` for placement and height scaling (0–65535, per-tile by default).
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### How the export works
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## 2) Welche Funktionen umfasst das Projekt und wie werden diese genutzt?
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- Heightmaps: the pipeline builds `work/dgm.vrt` from all `raw/dgm1/*.tif`, computes a global min/max once (legacy fallback), and warps each tile footprint to `heightmap.out_res` with `srcNodata=-9999`. Per-tile min/max are computed from the warped tile and used to scale PNGs to `[0, 65535]` by default (`heightmap.use_tile_minmax=false` keeps global scaling). `export_unity/tile_index.csv` records `global_min/global_max`, `tile_min/tile_max`, and `tile_key = f"{floor((xmin + overlap_x) / tile_size_x)}_{floor((ymin + overlap_y) / tile_size_y)}"` (defaults: `tile_size_x=1000.0`, `tile_size_y=1000.0`, `overlap_x=0.5`, `overlap_y=0.5` in `[tile_key]`).
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- Orthophotos: `work/dop.vrt` is built from `raw/dop20/jp2/*.jp2`; the manifest drives the cropping bounds. JPEG tiles are written to `export_unity/ortho_jpg/` with matching `.jgw` worldfiles. If the manifest is missing, the orthophoto export aborts—run the heightmap export first or use `--export all`.
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- Archives: `--build-from-archive` supports a monolithic ZIP (`archive/archive_raw.zip`) and expands every `*.zip` under `archive/*` into the matching `raw/*` directories; dataset zips overlay the monolithic data. It also copies `archive/dop20/filelist.txt` next to `raw/dop20/` for the downloader.
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- Cleanup: temporary `_tmp.tif` and GDAL aux XML files under `work/` and `raw/dgm1/` are removed at the end of the heightmap export; avoid storing non-GDAL metadata in those folders.
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### Key Commands
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```bash
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- Refresh VRT: `gdalbuildvrt work/dgm.vrt raw/dgm1/*.tif`
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# Hoehenmodelle (PNG16) + tile_index.csv
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- Run export pipeline: `uv run python geodata_to_unity.py --export all`
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uv run python geodata_to_unity.py --export heightmap
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- Inspect an output tile: `gdalinfo export_unity/height_png16/<tile>.png | head`
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- Override config paths: use `--config <path>`, `--raw-dgm1-path <dir>`, `--raw-dop20-path <dir>`.
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- Build raws from archives: `uv run python geodata_to_unity.py --build-from-archive --export all` (uses `archive/archive_raw.zip` when present, then overlays `archive/*/*.zip`).
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- Deterministic submission rebuild: `uv run python geodata_to_unity.py --build-from-archive --clean-raw --validate --export all --force-vrt`.
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- Rebuild VRTs after moving data: add `--force-vrt`.
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### Workflow Notes
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# Orthofotos (JPG), nutzt tile_index.csv
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- Heightmaps normalize per tile using `tile_min/tile_max` by default; set `heightmap.use_tile_minmax=false` to restore global scaling across tiles. Adjust `heightmap.out_res` or `heightmap.resample` in `geodata_config.toml` if your AOI or target resolution changes.
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uv run python geodata_to_unity.py --export textures
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- `tile_key` config controls the tile grouping key in the manifest; defaults are `tile_size_x=1000.0`, `tile_size_y=1000.0`, `overlap_x=0.5`, `overlap_y=0.5` with `enabled=true`.
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- `_tmp.tif` files in `work/` are transient; you can delete `work/` to force a clean rebuild.
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- Keep file names stable to avoid churn in Unity scenes; re-exports overwrite in place.
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- Large raw datasets are intentionally excluded from version control—document download sources or scripts instead of committing data.
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- Additional inputs: download helper lives in `scripts/dlscript_dop20.sh` and pulls JP2/J2W/XML orthophotos listed in `archive/dop20/filelist.txt` (one URL per line); `archive/` can hold zipped 3D building tiles for future use.
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- `--clean-raw` only removes managed ingestion dirs (`raw/dgm1`, `raw/dop20/jp2`, `raw/dop20/j2w`, `raw/dop20/meta`, `raw/citygml/lod1`, `raw/citygml/lod2`) and intentionally keeps custom masks.
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- `--validate` writes `work/archive_materialize_report.json` and fails only when core datasets are missing (`dgm1 tif`, `dop20 jp2`, `citygml lod2`); optional sidecar gaps are warnings.
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- Handoff to Unity: copy/sync `export_unity/height_png16/` and `export_unity/tile_index.csv` into `DTrierFlood/Assets/GeoData/` before running the Unity-side importer. Keep `heightmap.out_res` aligned with the importer’s expected resolution (currently 1025).
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### Orthophotos (textures)
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# Gebaeude (GLB) aus CityGML LoD2
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1. Ensure DOP assets are present in `raw/dop20/jp2/`, `raw/dop20/j2w/`, and `raw/dop20/meta/`; use `scripts/dlscript_dop20.sh` to fetch JP2/J2W/XML entries listed in `archive/dop20/filelist.txt` (one URL per line).
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uv run python geodata_to_unity.py --export buildings
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2. From `GeoData/`, run:
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```bash
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uv run python geodata_to_unity.py --export textures
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```
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This builds `work/dop.vrt` if missing and writes `export_unity/ortho_jpg/<tile>.jpg` + `.jgw` aligned to `tile_index.csv`.
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- If you see `Computed -srcwin ... falls partially outside source raster extent` warnings, the DOP coverage is slightly smaller than the tile footprint; edge pixels will be filled with NoData/zeros. Add adjacent JP2s or shrink the requested window if you need to avoid the warning.
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- The download script relies on a Linux/OpenSSL toolchain with system CA bundle at `/etc/ssl/certs/ca-certificates.crt`; it builds a trust chain by fetching the geobasis intermediate. macOS/Windows users should either provide a combined CA via `CURL_CA_BUNDLE` or download with a browser/wget and place files manually.
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- Place companion `.j2w` and `.xml` files under `raw/dop20/j2w/` and `raw/dop20/meta/` if available; they are not required for the VRT but help provenance.
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### Downloads (raw data)
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# Baeume (CSV + GLB)
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- Run: `uv run python geodata_to_unity.py --download` (uses `geodata_download.toml`).
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uv run python geodata_to_unity.py --export trees
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- Shows a progress bar while downloading and exits cleanly on Ctrl+C (exit code 130).
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```
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### Buildings (automated exporter)
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**Hauptausgaben**
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- Run: `uv run python geodata_to_unity.py --export buildings`
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- `export_unity/height_png16/` und `export_unity/tile_index.csv`
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- What it does per tile:
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- `export_unity/ortho_jpg/`
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- Converts LoD2 CityGML → CityJSON (citygml-tools), triangulates with cjio, rebases to tile-local XY using `tile_index.csv`.
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- `export_unity/buildings_tiles/`
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- Merges all buildings into one GLB (1 mesh with roof/wall primitives), decimates to the configured triangle budget.
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- `export_unity/trees*/`
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- Roofs: planar UVs from tile-local XY, embedded per-tile DOP20 orthophoto as base color (unlit by default).
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- Walls: vertex colors sampled from the ortho as a fallback (neutral otherwise).
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- Coordinates: glTF-friendly (x=east, y=height, z=-north) so glTFast instantiates one GameObject with two submeshes.
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- Requirements: LoD2 GMLs under `raw/citygml/lod2/`, per-tile orthos in `export_unity/ortho_jpg/`, tools on PATH (`tools/citygml-tools-2.4.0/citygml-tools`, `cjio` or override via `CJIO` env).
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- Open items: richer wall coloring from BDOM/LPO facades, better simplification, footprint-aware ground snapping beyond the current clamp-to-ground.
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### Troubleshooting
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## 3) Welche externen Bibliotheken und Quellen wurden verwendet?
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- Empty raw directories cause VRT creation to fail fast (`No sources available to build VRT`); populate inputs or adjust `--raw-*` overrides.
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- If you moved raw data or deleted `work/`, add `--force-vrt` to rebuild VRTs before exporting.
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**Bibliotheken/Tools**
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- Orthophoto export warnings like `Computed -srcwin ... falls partially outside source raster extent` indicate coverage gaps; add neighboring JP2s or accept the NoData edge fill.
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- Python
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- If GDAL Python bindings are missing, install system GDAL first and re-run `uv sync` so `osgeo` imports succeed.
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- uv
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- GDAL
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- cjio
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- citygml-tools
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**Externe Datenquellen (Kategorien)**
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- DGM1 (GeoTIFF) in `raw/dgm1/`
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- DOP20 (JP2) in `raw/dop20/jp2/`
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- CityGML LoD2 in `raw/citygml/lod2/`
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- Optional: DOM1, BDOM, LPO/LPG fuer Baum-/Masken-Workflows
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||||||
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|||||||
Reference in New Issue
Block a user