#!/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 2562.0 1965.5936631461923 24.750094413757328 57.48061016770361 -gcp 34383.0 588.8104502501387 25.500512123107914 57.49174780781858 -gcp 35010.0 39258.326848249024 25.5 57 -gcp 2883.0 39687.98888271262 24.75 57 mapster/Estland-Lettland_100K_33_SO_Valmiera_(Wolmar)_IV.1941_incomplete.jpg Estland-Lettland_100K_33_SO_Valmiera_(Wolmar)_IV.1941_incomplete.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "2551.5 707.9683157309616\n34359.0 242.80822679266254\n35010.0 39258.326848249024\n2883.0 39687.98888271262" | \
  gdaltransform -tps -output_xy Estland-Lettland_100K_33_SO_Valmiera_(Wolmar)_IV.1941_incomplete.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  Estland-Lettland_100K_33_SO_Valmiera_(Wolmar)_IV.1941_incomplete.vrt Estland-Lettland_100K_33_SO_Valmiera_(Wolmar)_IV.1941_incomplete.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES Estland-Lettland_100K_33_SO_Valmiera_(Wolmar)_IV.1941_incomplete.cut.vrt Estland-Lettland_100K_33_SO_Valmiera_(Wolmar)_IV.1941_incomplete.xyz