#!/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 3133.588592935727 1135.7926625903278 25.05 56.25 -gcp 10170.495946728432 1137.2301278488048 26.25 56.25 -gcp 10228.97510133179 7488.412729294052 26.25 55.61666666666667 -gcp 3088.7214823393165 7474.943579766537 25.05 55.61666666666667 k_001_kta-3-415_43.jpeg k_001_kta-3-415_43.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "8907.146786334684 5397.1584213451915\n4797.001737116387 2412.0166759310728\n3568.506948465547 2415.0\n3097.356687898089 1999.6242356864925\n3099.730457440648 1134.7495831017231\n10170.495946728432 1137.2301278488048\n10228.97510133179 7488.412729294052\n8898.078170237404 7488.0" | \
  gdaltransform -tps -output_xy k_001_kta-3-415_43.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  k_001_kta-3-415_43.vrt k_001_kta-3-415_43.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES k_001_kta-3-415_43.cut.vrt k_001_kta-3-415_43.xyz