#!/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 26.824351635724373 57.35221711468854 -gcp 12345.0 0.0 27.11491468464934 57.35232953450078 -gcp 12345.0 16491.0 27.113648179369424 57.14433671972036 -gcp 0.0 16491.0 26.82512480808623 57.144489937758046 k_001_ktl1-0-140_4.jpg k_001_ktl1-0-140_4.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"93.75 1490.6247917823432\n66.84375 14723.62312604109\n10762.875 14721.562812326483\n10722.375 1494.5611465852305\" | \
  gdaltransform -tps -output_xy k_001_ktl1-0-140_4.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  k_001_ktl1-0-140_4.vrt k_001_ktl1-0-140_4.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES k_001_ktl1-0-140_4.cut.vrt k_001_ktl1-0-140_4.xyz