#!/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 1926.1172553561087 1051.7776542523625 27.25 57.25 -gcp 10059.364794441228 981.2618121178432 28.75 57.25 -gcp 10167.417776491024 7331.051139521957 28.75 56.61666666666667 -gcp 1924.926462072959 7389.33185102835 27.25 56.61666666666667 k_001_kta-3-415_48.jpeg k_001_kta-3-415_48.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "1926.1172553561087 1051.7776542523625\n10059.364794441228 981.2618121178432\n10167.417776491024 7331.051139521957\n1924.926462072959 7389.33185102835" | \
  gdaltransform -tps -output_xy k_001_kta-3-415_48.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  k_001_kta-3-415_48.vrt k_001_kta-3-415_48.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_48.cut.vrt k_001_kta-3-415_48.xyz