#!/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 2007.2596988998262 1084.7201222901613 26 57.25 -gcp 10121.515344528083 1043.3329627570872 27.5 57.25 -gcp 10207.692385639839 7404.121734296832 27.5 56.61666666666667 -gcp 1971.1598147075856 7431.917593107281 26 56.61666666666667 k_001_kta-3-415_45.jpeg k_001_kta-3-415_45.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "2007.2596988998262 1084.7201222901613\n10121.515344528083 1043.3329627570872\n10207.692385639839 7404.121734296832\n1971.1598147075856 7431.917593107281" | \
  gdaltransform -tps -output_xy k_001_kta-3-415_45.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  k_001_kta-3-415_45.vrt k_001_kta-3-415_45.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_45.cut.vrt k_001_kta-3-415_45.xyz