#!/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 23.41209784488275 56.56230983065124 -gcp 0.0 16029.0 23.38235442774898 56.565160510968305 -gcp 12036.0 16029.0 23.386228055128356 56.577493076686906 -gcp 12036.0 0.0 23.41598087322997 56.57464149409195 05_Rajons_Kronauce/LNA_KFFDA_F106_1_4000N.jpg LNA_KFFDA_F106_1_4000N.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 16029.0\n12036.0 16029.0\n12036.0 0.0" | \
  gdaltransform -tps -output_xy LNA_KFFDA_F106_1_4000N.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LNA_KFFDA_F106_1_4000N.vrt LNA_KFFDA_F106_1_4000N.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LNA_KFFDA_F106_1_4000N.cut.vrt LNA_KFFDA_F106_1_4000N.xyz