#!/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 4860.0 5994.0 21.750225 57.41581333333333 -gcp 40116.0 6042.0 21.791886666666667 57.41581333333333 -gcp 40140.0 39840.0 21.791886666666667 57.394983333333336 -gcp 4890.0 39768.0 21.750225 57.394983333333336 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-000603-PLANSETE-009-e-3_0603.JPG LVVA-001679-0217-000603-PLANSETE-009-e-3_0603.vrt # Add cutline to VRT gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \ -cutline "POLYGON(($(echo -e "4860.0 5994.0\n40116.0 6042.0\n40140.0 39840.0\n4890.0 39768.0" | \ gdaltransform -tps -output_xy LVVA-001679-0217-000603-PLANSETE-009-e-3_0603.vrt | \ awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \ LVVA-001679-0217-000603-PLANSETE-009-e-3_0603.vrt LVVA-001679-0217-000603-PLANSETE-009-e-3_0603.cut.vrt # Generate tiles gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-000603-PLANSETE-009-e-3_0603.cut.vrt LVVA-001679-0217-000603-PLANSETE-009-e-3_0603.xyz