#!/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 4794.0 5958.0 22.166833333333333 56.45764 -gcp 40944.0 6036.0 22.208495 56.45764 -gcp 40986.0 39798.0 22.208495 56.43681 -gcp 4812.0 39708.0 22.166833333333333 56.43681 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-001171-PLANSETE-020-b-9_1171.JPG LVVA-001679-0217-001171-PLANSETE-020-b-9_1171.vrt # Add cutline to VRT gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \ -cutline "POLYGON(($(echo -e "4794.0 5958.0\n40944.0 6036.0\n40986.0 39798.0\n4812.0 39708.0" | \ gdaltransform -tps -output_xy LVVA-001679-0217-001171-PLANSETE-020-b-9_1171.vrt | \ awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \ LVVA-001679-0217-001171-PLANSETE-020-b-9_1171.vrt LVVA-001679-0217-001171-PLANSETE-020-b-9_1171.cut.vrt # Generate tiles gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-001171-PLANSETE-020-b-9_1171.cut.vrt LVVA-001679-0217-001171-PLANSETE-020-b-9_1171.xyz