#!/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 0.0 0.0 23.85982228878764 56.55697639309876 -gcp 0.0 16242.0 23.833906797648833 56.56569647351246 -gcp 12204.0 16242.0 23.845774701495618 56.57644995746399 -gcp 12204.0 0.0 23.871694821853637 56.567727420683696 01_Rajons_Stalgene/LNA_KFFDA_F106_1_3537N.jpg LNA_KFFDA_F106_1_3537N.vrt # Add cutline to VRT gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \ -cutline "POLYGON(($(echo -e "0.0 0.0\n0.0 16242.0\n12204.0 16242.0\n12204.0 0.0" | \ gdaltransform -tps -output_xy LNA_KFFDA_F106_1_3537N.vrt | \ awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \ LNA_KFFDA_F106_1_3537N.vrt LNA_KFFDA_F106_1_3537N.cut.vrt # Generate tiles gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LNA_KFFDA_F106_1_3537N.cut.vrt LNA_KFFDA_F106_1_3537N.xyz