#!/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 1974.0 2641.8025210084033 26.5 56 -gcp 16623.0 2713.820168067227 27 56 -gcp 16656.0 16104.30588235294 27 55.75 -gcp 1923.75 16072.596638655461 26.5 55.75 Latvijas_dalas_Lietuvas_dalas_un_I_PkaUFzT.kartes_Daugavpils_6828_A1_L25_81_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Daugavpils_6828_A1_L25_81_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"1974.0 2641.8025210084033\n16623.0 2713.820168067227\n16656.0 16104.30588235294\n1923.75 16072.596638655461\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Daugavpils_6828_A1_L25_81_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Daugavpils_6828_A1_L25_81_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Daugavpils_6828_A1_L25_81_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_Daugavpils_6828_A1_L25_81_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Daugavpils_6828_A1_L25_81_02.xyz