#!/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 1427.2280509051584 3115.430644438359 20.618591308593754 57.41315943899567 -gcp 8798.67062231975 2399.0956051432845 28.394165039062504 57.76564476921282 -gcp 8758.281770441881 4722.88881679721 28.196411132812504 56.363737197893194 -gcp 1424.341602168011 5531.715885930905 20.73600769042969 56.00371272479228 k_001_kta-3-414_10.jpeg k_001_kta-3-414_10.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "1107.0 1842.0339366515836\n8931.0 1845.0045248868778\n8902.5 6734.987933634993\n1088.25 6684.010558069382" | \
  gdaltransform -tps -output_xy k_001_kta-3-414_10.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  k_001_kta-3-414_10.vrt k_001_kta-3-414_10.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_10.cut.vrt k_001_kta-3-414_10.xyz