#!/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 2793.0000000003242 3105.654600301674 22.5 56.5 -gcp 7989.000000000315 3172.1342383108063 23.5 56.5 -gcp 7959.517362174106 7649.032881087265 23.52035522460938 56 -gcp 1122.6136124722952 7617.610761329908 22.206115722656254 56.007022124943674 k_001_kta-3-414_15.jpeg k_001_kta-3-414_15.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "1179.0 1020.0\n9003.0 1059.0\n8925.0 7656.0\n1120.5 7617.750377073906" | \
  gdaltransform -tps -output_xy k_001_kta-3-414_15.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  k_001_kta-3-414_15.vrt k_001_kta-3-414_15.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_15.cut.vrt k_001_kta-3-414_15.xyz