#!/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 1989.0 1054.8526959421902 27.25 56.75 -gcp 10224.0 1041.1984435797665 28.75 56.75 -gcp 10276.410860000124 7396.885358579386 28.75 56.11666666666667 -gcp 1925.7061716648825 7386.088905166174 27.25 56.11666666666667 k_001_kta-3-415_50.jpeg k_001_kta-3-415_50.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "1989.0 1054.8526959421902\n10224.0 1041.1984435797665\n10276.410860000124 7396.885358579386\n1925.7061716648825 7386.088905166174" | \
  gdaltransform -tps -output_xy k_001_kta-3-415_50.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  k_001_kta-3-415_50.vrt k_001_kta-3-415_50.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_50.cut.vrt k_001_kta-3-415_50.xyz