#!/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 1683.0 2653.839495798319 22.5 56.5 -gcp 16215.0 2754.9378151260503 23 56.5 -gcp 16213.5 16249.545378151259 23 56.25 -gcp 1577.1096345687065 16156.543072531585 22.5 56.25 Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Auce_6828_A1_L25_24_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Auce_6828_A1_L25_24_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"1683.0 2653.839495798319\n16215.0 2754.9378151260503\n16213.5 16249.545378151259\n1577.1096345687065 16156.543072531585\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Auce_6828_A1_L25_24_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Auce_6828_A1_L25_24_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Auce_6828_A1_L25_24_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_Auce_6828_A1_L25_24_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Auce_6828_A1_L25_24_02.xyz