#!/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 27.005738760862855 56.58359706857067 -gcp 0.0 16359.0 27.030955954658353 56.58519479941164 -gcp 12135.0 16359.0 27.033099870059768 56.57487136624258 -gcp 12135.0 0.0 27.007889491884022 56.573273997022845 19_Rajons_Vilani_ZA/LNA_KFFDA_F106_1_5050N.jpg LNA_KFFDA_F106_1_5050N.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 16359.0\n12135.0 16359.0\n12135.0 0.0" | \
  gdaltransform -tps -output_xy LNA_KFFDA_F106_1_5050N.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LNA_KFFDA_F106_1_5050N.vrt LNA_KFFDA_F106_1_5050N.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LNA_KFFDA_F106_1_5050N.cut.vrt LNA_KFFDA_F106_1_5050N.xyz