#!/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 2334.637028460162 3624.1943064381944 23.665838738570123 56.95761224086597 -gcp 9526.390970546132 1672.4314671321313 23.91354580731769 56.99337377506957 -gcp 9418.73469249247 6483.351402426335 23.909469470856315 56.903308285373285 -gcp 4728.720807254143 7347.13586017991 23.746862212701853 56.888378354618155 k_001_kta-3-415_51.jpeg k_001_kta-3-415_51.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "1878.0 891.0\n10416.0 864.0\n10422.0 7548.0\n1911.001737116387 7571.998332406893" | \
  gdaltransform -tps -output_xy k_001_kta-3-415_51.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  k_001_kta-3-415_51.vrt k_001_kta-3-415_51.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_51.cut.vrt k_001_kta-3-415_51.xyz