#!/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 2194.766688697951 2415.379831932773 23.5 57.05 -gcp 16496.052214144085 2521.9344537815123 24 57.05 -gcp 16521.39358889623 18688.8487394958 24 56.75 -gcp 2100.31031064111 18601.826050420168 23.5 56.75 Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Sloka_6828_A1_L25_30_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Sloka_6828_A1_L25_30_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"2194.766688697951 2415.379831932773\n16496.052214144085 2521.9344537815123\n16521.39358889623 18688.8487394958\n2100.31031064111 18601.826050420168\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Sloka_6828_A1_L25_30_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Sloka_6828_A1_L25_30_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Sloka_6828_A1_L25_30_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_Sloka_6828_A1_L25_30_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Sloka_6828_A1_L25_30_02.xyz