#!/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 2530.8390614672835 3001.8974789915965 25.5 56 -gcp 17226.266688697953 3073.878991596639 26 56 -gcp 17242.679940515533 16551.92731092437 26 55.75 -gcp 2434.6219431592863 16476.89201680672 25.5 55.75 Latvijas_dalas_Lietuvas_dalas_un_Igau_2Gjlgwt.kartes_Rokiski_6828_A1_L25_66_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Rokiski_6828_A1_L25_66_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"2530.8390614672835 3001.8974789915965\n17226.266688697953 3073.878991596639\n17242.679940515533 16551.92731092437\n2434.6219431592863 16476.89201680672\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Rokiski_6828_A1_L25_66_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Rokiski_6828_A1_L25_66_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Rokiski_6828_A1_L25_66_02.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Rokiski_6828_A1_L25_66_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Rokiski_6828_A1_L25_66_02.xyz