#!/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 6255.7991407713425 1120.9980978004185 24.3 57.75 -gcp 10006.5 1114.7584769316286 25 57.75 -gcp 10065.0 7470.400222345748 25 57.11666666666667 -gcp 6265.5 7465.864369093942 24.3 57.11666666666667 k_001_kta-3-415_36.jpeg k_001_kta-3-415_36.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "5692.5 7238.939132851584\n5847.0 7239.83129516398\n5838.0 1121.9983324068928\n10008.0 1111.5058365758755\n10065.75 7470.015008337965\n5694.75 7466.251250694831" | \
  gdaltransform -tps -output_xy k_001_kta-3-415_36.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  k_001_kta-3-415_36.vrt k_001_kta-3-415_36.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_36.cut.vrt k_001_kta-3-415_36.xyz