#!/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 1912.5790387955994 1218.8533907726514 26 56.75 -gcp 10147.948176027792 1185.3176764869372 27.5 56.75 -gcp 10230.704400694847 7551.438576987215 27.5 56.11666666666667 -gcp 1872.1372321945569 7558.936075597554 26 56.11666666666667 k_001_kta-3-415_46.jpeg k_001_kta-3-415_46.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "1912.5790387955994 1218.8533907726514\n10147.948176027792 1185.3176764869372\n10230.704400694847 7551.438576987215\n1872.1372321945569 7558.936075597554" | \
  gdaltransform -tps -output_xy k_001_kta-3-415_46.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  k_001_kta-3-415_46.vrt k_001_kta-3-415_46.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_46.cut.vrt k_001_kta-3-415_46.xyz