#!/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 1972.5 1114.7734852695942 27.25 56.25 -gcp 10306.5 1125.3043357420788 28.75 56.25 -gcp 10356.0 7476.326014452473 28.75 55.61666666666667 -gcp 1905.0 7453.750972762646 27.25 55.61666666666667 k_001_kta-3-415_49.jpeg k_001_kta-3-415_49.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "1972.5 1114.7734852695942\n10306.5 1125.3043357420788\n10356.0 7476.326014452473\n1905.0 7453.750972762646" | \
  gdaltransform -tps -output_xy k_001_kta-3-415_49.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  k_001_kta-3-415_49.vrt k_001_kta-3-415_49.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_49.cut.vrt k_001_kta-3-415_49.xyz