#!/bin/bash GDAL_TILE_PROCESSES=16 GDAL_TILE_ZOOMS=8-14 GDAL_SAMPLING_WARP=cubic GDAL_SAMPLING_TILE=antialias # Create virtual dataset with coordinates gdal_translate -of VRT -a_srs EPSG:4326 -outsize 300% 300% -gcp 5004.0 5628.0 27.791055 56.87423666666667 -gcp 40908.0 5436.0 27.832716666666666 56.87423666666667 -gcp 41052.0 38322.0 27.832716666666666 56.853406666666665 -gcp 5118.0 38496.0 27.791055 56.853406666666665 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-003712-PLANSETE-102-e-12_3712.JPG LVVA-001679-0217-003712-PLANSETE-102-e-12_3712.vrt # Add cutline to VRT gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \ -cutline "POLYGON(($(echo -e "5004.0 5628.0\n40908.0 5436.0\n41052.0 38322.0\n5118.0 38496.0" | \ gdaltransform -tps -output_xy LVVA-001679-0217-003712-PLANSETE-102-e-12_3712.vrt | \ awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \ LVVA-001679-0217-003712-PLANSETE-102-e-12_3712.vrt LVVA-001679-0217-003712-PLANSETE-102-e-12_3712.cut.vrt # Generate tiles gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-003712-PLANSETE-102-e-12_3712.cut.vrt LVVA-001679-0217-003712-PLANSETE-102-e-12_3712.xyz