#!/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 1579.5 2784.40756302521 25 56.75 -gcp 15994.5 2769.3806722689073 25.5 56.75 -gcp 16111.5 16215.488235294119 25.5 56.5 -gcp 1612.5 16245.393277310923 25 56.5 Latvijas_dalas_Lietuvas_dalas_un__2yyQkMp.kartes_Jaunjelgava_6828_A1_L25_55_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Jaunjelgava_6828_A1_L25_55_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"1579.5 2784.40756302521\n15994.5 2769.3806722689073\n16111.5 16215.488235294119\n1612.5 16245.393277310923\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Jaunjelgava_6828_A1_L25_55_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Jaunjelgava_6828_A1_L25_55_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Jaunjelgava_6828_A1_L25_55_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_Jaunjelgava_6828_A1_L25_55_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Jaunjelgava_6828_A1_L25_55_02.xyz