#!/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 1578.0 1092.2322775263954 25.23490905761719 57.41981135445117 -gcp 9249.0 1137.188536953243 26.78604125976563 57.38766275433552 -gcp 9222.0 7741.834087481146 26.722183227539066 56.687916456809546 -gcp 1524.0 7713.353695324284 25.204696655273438 56.71355845004885 k_001_kta-3-414_20.jpeg k_001_kta-3-414_20.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "1575.0 1095.0075414781297\n9246.75 1136.247737556561\n9219.0 7741.505279034691\n1519.5 7713.033182503771" | \
  gdaltransform -tps -output_xy k_001_kta-3-414_20.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  k_001_kta-3-414_20.vrt k_001_kta-3-414_20.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_20.cut.vrt k_001_kta-3-414_20.xyz