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Achieving 26:1 Imagery Compression with the LSU Atlas DOQQ Dataset
Winning Code Line
gdal_translate -co NUM_THREADS=ALL_CPUS -r bilinear -of COG -co COMPRESS=JPEG -co QUALITY=90 -co BIGTIFF=YES --config GDAL_CACHEMAX 1024 input.vrt output.tif
Louisiana
Statewide Louisiana
This project showcases colorful aerial photogrammetry data mesh of terrain, 3D photogrammetry model with overlapping imagery textures, and aerial photogrammetry data visualization of a landscape. The images represent the use of photogrammetry to create detailed 3D models of various terrains and landscapes.
As I believe sharing solutions is the only way to continue overall growth, I have attached the command sequence that finally yielded the results that are linked. Keep in mind, your data must be perfect or this does not work! At the scale of 3500 files, this was my biggest challenge.
Convert SID Imagery to Cloud Optimized GeoTIFF
Save a batch file (.bat) in the directory where all of the Tiff Tiles are stored --> Once saved, double-click, and let it run
Batch file text:
@echo off
SET inputDir="INPUT_DIRECTORY"
SET outputDir="OUTPUT_DIRECTORYs"
if not exist "%outputDir%" mkdir "%outputDir%"
for %%f in ("%inputDir%\*.sid") do (
echo Processing file: %%f
gdal_translate %%f "%outputDir%\%%~nf_cog.tif" -of COG -co COMPRESS=LZW
)
echo Done!
pause
gdal_translate -of COG -co COMPRESS=JPEG -co QUALITY=50 output.vrt output_COG.tif
gdal_translate -co COMPRESS=JPEG -co TILES=YES .sid output.tif
C:\Program Files\QGIS 3.34.0>cd C:\GIS\GIS Data\DOQQ Imagery\DOQQ Imagery\2005 Tiles
gdalbuildvrt -resolution highest test.dem *.tif
gdal_translate -co NUM_THREADS=ALL_CPUS -r bilinear -of COG -co COMPRESS=JPEG -co QUALITY=90 -co BIGTIFF=YES --config GDAL_CACHEMAX 1024 input.vrt output.tif
