#!/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 1946.4661795614088 1095.9253723172112 26 56.25 -gcp 10293.740011580776 1086.8337965536407 27.5 56.25 -gcp 10357.37753329473 7438.048916064479 27.5 55.61666666666667 -gcp 1905.5801968731903 7435.022234574764 26 55.61666666666667 k_001_kta-3-415_47.jpeg k_001_kta-3-415_47.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "1946.4661795614088 1095.9253723172112\n10293.740011580776 1086.8337965536407\n10357.37753329473 7438.048916064479\n1905.5801968731903 7435.022234574764" | \
  gdaltransform -tps -output_xy k_001_kta-3-415_47.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  k_001_kta-3-415_47.vrt k_001_kta-3-415_47.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_47.cut.vrt k_001_kta-3-415_47.xyz