#!/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 3525.0 3762.0 26.743133333333333 56.423116666666665 -gcp 44634.0 3858.0 27.939783333333335 56.44968333333333 -gcp 44532.0 33147.0 27.96998333333333 55.976483333333334 -gcp 3444.0 33060.0 26.789983333333332 55.94805 1915_3verst_de_126k/loc/Reihe_X_Blatt_6_Dagda_1915_loc.jpg Reihe_X_Blatt_6_Dagda_1915_loc.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "3525.0 3762.0\n44634.0 3858.0\n44532.0 33147.0\n3444.0 33060.0" | \
  gdaltransform -tps -output_xy Reihe_X_Blatt_6_Dagda_1915_loc.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  Reihe_X_Blatt_6_Dagda_1915_loc.vrt Reihe_X_Blatt_6_Dagda_1915_loc.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES Reihe_X_Blatt_6_Dagda_1915_loc.cut.vrt Reihe_X_Blatt_6_Dagda_1915_loc.xyz