#!/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 1942.774464389114 1029.3026681489716 24.75 57.75 -gcp 9961.775332947307 1108.8952195664256 26.25 57.75 -gcp 9955.713665315576 7452.444413563091 26.25 57.11666666666667 -gcp 1827.469889982629 7368.409394107837 24.75 57.11666666666667 k_001_kta-3-415_40.jpeg k_001_kta-3-415_40.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "1942.774464389114 1029.3026681489716\n9961.775332947307 1108.8952195664256\n9955.713665315576 7452.444413563091\n1827.469889982629 7368.409394107837" | \
  gdaltransform -tps -output_xy k_001_kta-3-415_40.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  k_001_kta-3-415_40.vrt k_001_kta-3-415_40.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_40.cut.vrt k_001_kta-3-415_40.xyz