#!/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 2148.0 3714.0 23.18235 56.2773 -gcp 43047.0 3597.0 24.373166666666666 56.33838333333333 -gcp 43203.0 32574.0 24.451366666666665 55.86213333333333 -gcp 2343.0 32688.0 23.270033333333334 55.803716666666666 1915_3verst_de_126k/loc/Reihe_X_Blatt_3_Schawli_xxxx_loc.jpg Reihe_X_Blatt_3_Schawli_xxxx_loc.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "2258.25 18207.00333148251\n2148.0 3714.0\n22599.0 3632.9866740699613\n43047.0 3597.0\n43203.0 32574.0\n22774.5 32644.50749583565\n2343.0 32688.0" | \
  gdaltransform -tps -output_xy Reihe_X_Blatt_3_Schawli_xxxx_loc.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  Reihe_X_Blatt_3_Schawli_xxxx_loc.vrt Reihe_X_Blatt_3_Schawli_xxxx_loc.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES Reihe_X_Blatt_3_Schawli_xxxx_loc.cut.vrt Reihe_X_Blatt_3_Schawli_xxxx_loc.xyz