#!/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 3102.0 2733.0 24.926666666666666 56.25 -gcp 22755.0 2913.0 25.376666666666665 56.25 -gcp 22686.0 23106.0 25.376666666666665 56 -gcp 2922.0 22917.0 24.926666666666666 56 lvva/Kurzemes,Vidzemes,Kaunas_un_Vitebskas_gubernas_Jaunjelgavas__6828_A1_L22_45_02.JPG Kurzemes,Vidzemes,Kaunas_un_Vitebskas_gubernas_Jaunjelgavas__6828_A1_L22_45_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "3102.0 2733.0\n22755.0 2913.0\n22686.0 23106.0\n2922.0 22917.0" | \
  gdaltransform -tps -output_xy Kurzemes,Vidzemes,Kaunas_un_Vitebskas_gubernas_Jaunjelgavas__6828_A1_L22_45_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  Kurzemes,Vidzemes,Kaunas_un_Vitebskas_gubernas_Jaunjelgavas__6828_A1_L22_45_02.vrt Kurzemes,Vidzemes,Kaunas_un_Vitebskas_gubernas_Jaunjelgavas__6828_A1_L22_45_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_Jaunjelgavas__6828_A1_L22_45_02.cut.vrt Kurzemes,Vidzemes,Kaunas_un_Vitebskas_gubernas_Jaunjelgavas__6828_A1_L22_45_02.xyz