#!/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 3069.0 3639.0 27.96998333333333 55.976483333333334 -gcp 44463.0 3084.0 29.14655 55.99118333333333 -gcp 44859.0 32721.0 29.15895 55.52043333333334 -gcp 3510.0 33357.0 28.0002 55.501216666666664 1915_3verst_de_126k/loc/Reihe_XI_Blatt_7_Dissna_1918_loc.jpg Reihe_XI_Blatt_7_Dissna_1918_loc.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "3247.5 18502.50249861188\n3069.0 3639.0\n44463.0 3084.0\n44672.25 17912.255413659077\n44859.0 32721.0\n24180.0 33061.51249305941\n3510.0 33357.0" | \
  gdaltransform -tps -output_xy Reihe_XI_Blatt_7_Dissna_1918_loc.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  Reihe_XI_Blatt_7_Dissna_1918_loc.vrt Reihe_XI_Blatt_7_Dissna_1918_loc.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES Reihe_XI_Blatt_7_Dissna_1918_loc.cut.vrt Reihe_XI_Blatt_7_Dissna_1918_loc.xyz