#!/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 1968.2557832121613 2814.296638655462 26.5 55.75 -gcp 16755.572042300064 2905.9260504201684 27 55.75 -gcp 16734.17052214144 16348.040756302522 27 55.5 -gcp 1847.3575677461997 16251.883613445378 26.5 55.5 Latvijas_dalas_Lietuvas_dalas_un_Igau_w1UOlFS.kartes_Tarzeki_6828_A1_L25_82_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Tarzeki_6828_A1_L25_82_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"1968.2557832121613 2814.296638655462\n16755.572042300064 2905.9260504201684\n16734.17052214144 16348.040756302522\n1847.3575677461997 16251.883613445378\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Tarzeki_6828_A1_L25_82_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Tarzeki_6828_A1_L25_82_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Tarzeki_6828_A1_L25_82_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_Tarzeki_6828_A1_L25_82_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Tarzeki_6828_A1_L25_82_02.xyz