#!/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 1650.0 2250.0 21.626666666666665 57.75 -gcp 26784.0 2250.0 22.226666666666667 57.75 -gcp 26937.0 22815.0 22.226666666666667 57.5 -gcp 1551.0 22782.0 21.626666666666665 57.5 lvva/Kurzemes,Vidzemes,Kaunas_un_Vitebskas_gubernas_Lielirbes_apkartne___6828__A1_L22_1_02.JPG Kurzemes,Vidzemes,Kaunas_un_Vitebskas_gubernas_Lielirbes_apkartne___6828__A1_L22_1_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "1650.0 2250.0\n26784.0 2250.0\n26937.0 22815.0\n1551.0 22782.0" | \
  gdaltransform -tps -output_xy Kurzemes,Vidzemes,Kaunas_un_Vitebskas_gubernas_Lielirbes_apkartne___6828__A1_L22_1_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  Kurzemes,Vidzemes,Kaunas_un_Vitebskas_gubernas_Lielirbes_apkartne___6828__A1_L22_1_02.vrt Kurzemes,Vidzemes,Kaunas_un_Vitebskas_gubernas_Lielirbes_apkartne___6828__A1_L22_1_02.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES Kurzemes,Vidzemes,Kaunas_un_Vitebskas_gubernas_Lielirbes_apkartne___6828__A1_L22_1_02.cut.vrt Kurzemes,Vidzemes,Kaunas_un_Vitebskas_gubernas_Lielirbes_apkartne___6828__A1_L22_1_02.xyz