#!/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 2352.0 4024.061840120664 27 57.5 -gcp 7362.0 3741.8672699849167 28 57.5 -gcp 9128.25 7768.643288084464 28.281726837158207 57.060708192002515 -gcp 1327.9560354310915 7775.01534373594 26.759090423583988 57.106978286567106 k_001_kta-3-414_23.jpeg k_001_kta-3-414_23.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "1306.5 1136.9909502262444\n9120.0 1133.9879336349923\n9127.5 7768.487933634993\n1327.5 7777.490196078432" | \
  gdaltransform -tps -output_xy k_001_kta-3-414_23.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  k_001_kta-3-414_23.vrt k_001_kta-3-414_23.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_23.cut.vrt k_001_kta-3-414_23.xyz