#!/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 1469.9617834394508 1236.4802668153077 25.832290649414066 56.34090226193543 -gcp 8627.876995995617 1797.6737129839605 27.215881347656254 56.24102706737263 -gcp 7645.886508396102 4126.284046693034 27 56 -gcp 2472.312680949538 4399.267370761981 26 56 k_001_kta-3-414_22.jpeg k_001_kta-3-414_22.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "1469.9617834394508 1236.4802668153077\n9231.0 1209.0\n9270.0 7812.0\n1557.0 7869.0" | \
  gdaltransform -tps -output_xy k_001_kta-3-414_22.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  k_001_kta-3-414_22.vrt k_001_kta-3-414_22.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES k_001_kta-3-414_22.cut.vrt k_001_kta-3-414_22.xyz