#!/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 1944.372611464968 1165.799332962757 24.75 58.25 -gcp 9850.876954255935 1148.4622012229015 26.25 58.25 -gcp 9916.93167342212 7500.439410783769 26.25 57.61666666666667 -gcp 1898.3485813549505 7509.139660922734 24.75 57.61666666666667 k_001_kta-3-415_39.jpeg k_001_kta-3-415_39.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "1944.0 1164.0\n9852.0 1149.0\n9916.462651997685 7500.680377987772\n1899.0 7509.0" | \
  gdaltransform -tps -output_xy k_001_kta-3-415_39.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  k_001_kta-3-415_39.vrt k_001_kta-3-415_39.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_39.cut.vrt k_001_kta-3-415_39.xyz