#!/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 339.0 945.0 24.416666666666668 58.25 -gcp 16467.0 723.0 25 58.25 -gcp 16686.0 13854.0 25 58 -gcp 468.0 14121.0 24.416666666666668 58 Lat075_043_Kilingi-Nomme_ca1930.jpg Lat075_043_Kilingi-Nomme_ca1930.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"339.0 945.0\n16467.0 723.0\n16686.0 13854.0\n468.0 14121.0\" | \
  gdaltransform -tps -output_xy Lat075_043_Kilingi-Nomme_ca1930.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Lat075_043_Kilingi-Nomme_ca1930.vrt Lat075_043_Kilingi-Nomme_ca1930.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES Lat075_043_Kilingi-Nomme_ca1930.cut.vrt Lat075_043_Kilingi-Nomme_ca1930.xyz