#!/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 1822.5 2476.7428571428572 22.5 56.75 -gcp 16038.0 2533.844537815126 23 56.75 -gcp 16105.5 15933.142016806722 23 56.5 -gcp 1704.0 15843.297478991597 22.5 56.5 Latvijas_dalas_Lietuvas_dalas_un_Igau_qPyD7IC.kartes_Blidene_6828_A1_L25_23_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Blidene_6828_A1_L25_23_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"1822.5 2476.7428571428572\n16038.0 2533.844537815126\n16105.5 15933.142016806722\n1704.0 15843.297478991597\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Blidene_6828_A1_L25_23_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Blidene_6828_A1_L25_23_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Blidene_6828_A1_L25_23_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_Blidene_6828_A1_L25_23_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Blidene_6828_A1_L25_23_02.xyz