179 lines
4.7 KiB
Markdown
179 lines
4.7 KiB
Markdown
# ardigeos
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dünnschliff applikation
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🚀 Workflow: Subdatasets → echte Overviews
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🔹 Schritt 1: Nur höchste Auflösung extrahieren
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gdal_translate GTIFF_DIR:1:/scans/thinsect/1/101.tif base.tif -co TILED=YES -co COMPRESS=JPEG -co QUALITY=75
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👉 Das ist dein „Masterbild“
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🔹 Schritt 2: Overviews aus vorhandenen Levels bauen
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Gleiche Faktoren wie Subdatasets:
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gdaladdo -r average base.tif 2 4 8 16 32
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👉 entspricht:
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34576 → 17288 → 8644 → … ✔
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💡 Vorteil:
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gleiche Struktur wie Original aber jetzt COG-kompatibel
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🔹 Schritt 3: echtes COG erzeugen
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gdal_translate base.tif cog_final.tif -of COG -co COMPRESS=JPEG -co QUALITY=75 -co COPY_SRC_OVERVIEWS=YES
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Ergebnis 1/3 Dateigröße kleinere Datei als Original, da dort zuvor auch tiles enthalten sind (leider keine COG TIFF Pyramiden)
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`` gdalinfo /scans/thinsect/cog_out/1/1.tif``
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# GeoTIFF / COG Metadaten
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## Allgemeine Informationen
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| Eigenschaft | Wert |
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| ----------- | --------------------------------- |
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| Driver | GTiff / GeoTIFF |
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| Datei | `/scans/thinsect/cog_out/1/1.tif` |
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| Größe | `37264 × 21744 px` |
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| Layout | COG (Cloud Optimized GeoTIFF) |
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---
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## TIFF Metadaten
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| Schlüssel | Wert |
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| ------------------------ | --------------------------------------------------------- |
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| TIFFTAG_IMAGEDESCRIPTION | `Objective Imaging, AppMag = 4 \| MPP = 1.2320 \| Q = 75` |
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| TIFFTAG_XRESOLUTION | `8116` |
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| TIFFTAG_YRESOLUTION | `8116` |
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| TIFFTAG_RESOLUTIONUNIT | `3 (pixels/cm)` |
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---
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## Image Structure Metadata
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| Eigenschaft | Wert |
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| ------------------- | ------------ |
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| LAYOUT | `COG` |
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| SOURCE_COLOR_SPACE | `YCbCr` |
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| COMPRESSION | `YCbCr JPEG` |
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| INTERLEAVE | `PIXEL` |
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| OVERVIEW_RESAMPLING | `AVERAGE` |
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| JPEG_QUALITY | `75` |
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| JPEGTABLESMODE | `1` |
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---
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## Eckkoordinaten
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| Position | Koordinaten |
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| ----------- | -------------------- |
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| Upper Left | `(0.0, 0.0)` |
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| Lower Left | `(0.0, 21744.0)` |
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| Upper Right | `(37264.0, 0.0)` |
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| Lower Right | `(37264.0, 21744.0)` |
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| Center | `(18632.0, 10872.0)` |
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---
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## Bänder & Overviews
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### Band 1
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| Eigenschaft | Wert |
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| -------------------- | ----------- |
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| Blockgröße | `512 × 512` |
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| Typ | `Byte` |
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| Color Interpretation | `Red` |
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#### Overviews
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* `18632 × 10872`
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* `9316 × 5436`
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* `4658 × 2718`
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* `2329 × 1359`
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* `1164 × 679`
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* `582 × 339`
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* `291 × 169`
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---
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### Band 2
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| Eigenschaft | Wert |
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| -------------------- | ----------- |
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| Blockgröße | `512 × 512` |
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| Typ | `Byte` |
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| Color Interpretation | `Green` |
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#### Overviews
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* `18632 × 10872`
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* `9316 × 5436`
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* `4658 × 2718`
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* `2329 × 1359`
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* `1164 × 679`
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* `582 × 339`
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* `291 × 169`
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---
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### Band 3
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| Eigenschaft | Wert |
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| -------------------- | ----------- |
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| Blockgröße | `512 × 512` |
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| Typ | `Byte` |
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| Color Interpretation | `Blue` |
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#### Overviews
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* `18632 × 10872`
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* `9316 × 5436`
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* `4658 × 2718`
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* `2329 × 1359`
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* `1164 × 679`
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* `582 × 339`
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* `291 × 169`
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---
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für alle Ordner in /scans/thinsect/(1-52)*tif
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nohup bash -c '
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for dir in 49 50 51 52; do
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find /scans/thinsect/$dir -name "*.tif" | parallel \
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--bar \
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--joblog conversion_${dir}.log \
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"
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file={}
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name=\$(basename \"\$file\" .tif)
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gdal_translate \
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\"GTIFF_DIR:1:\$file\" \
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\"/scans/thinsect/cog_out/13/\${name}.tif\" \
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-of COG \
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-co COMPRESS=JPEG \
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-co QUALITY=75 \
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-co RESAMPLING=AVERAGE
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"
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done
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' > conversion.out 2>&1 &
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danach
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``gdalinfo /scans/tninsection/cog_out/1/1.tif``
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/var/www/html/tif-index.json mit
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`` sudo /usr/local/bin/build-cog-map.sh`` anlegen
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NGINX Anpassung und index.html anlegen mit Openlayerplugin
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``https://ardigeos.geosphere.at/anwendung/index.html``
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``https://ardigeos.geosphere.at/tsv/1`` (1-13.xxx)
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``https://maps.geosphere.at/de?scale=18055.9548215&x=1781235.399195954&y=6107435.260784891&heading=0&basemap=default&layers=https%3A%2F%2Fgis.geosphere.at%2Fmaps%2Frest%2Fservices%2Fgrenzen%2Fadmin_grenzen_oesterreich%2FMapServer%2Chttps%3A%2F%2Fgis.geosphere.at%2Fmaps%2Frest%2Fservices%2Fsammlungen%2Fduennschliffe%2FMapServer%2F1&visibilities=true%2Ctrue&opacities=1%2C1&relief=true``
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