#!/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 2134.3795984105 1742.3377589289912 24.82927476455522 57.24501909419136 -gcp 5577.513915114581 1361.3582924459868 24.948363875680123 57.25142722894271 -gcp 5786.1140047101835 6003.557983290476 24.95321293683429 57.165337761642306 -gcp 2346.3613202144265 7360.31406335625 24.834508746776134 57.14047744218622 k_001_kta-3-415_52.jpeg k_001_kta-3-415_52.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "1947.0 960.0\n5832.0 928.4974986103391\n5872.5232339316735 7479.804405225125\n4509.0 7491.0\n4506.802547770701 7636.495831017232\n2009.998262883613 7651.500833796554" | \
  gdaltransform -tps -output_xy k_001_kta-3-415_52.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  k_001_kta-3-415_52.vrt k_001_kta-3-415_52.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_52.cut.vrt k_001_kta-3-415_52.xyz