#!/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 1714.5 2818.8075630252097 21.5 56.5 -gcp 16258.5 2838.385714285714 22 56.5 -gcp 16339.5 16325.089915966386 22 56.25 -gcp 1704.0 16303.861344537816 21.5 56.25 Latvijas_dalas_Lietuvas_dalas_un_Iga_hSDhDsi.kartes_Priekule_6828_A1_L25_12_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Priekule_6828_A1_L25_12_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"1714.5 2818.8075630252097\n16258.5 2838.385714285714\n16339.5 16325.089915966386\n1704.0 16303.861344537816\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Priekule_6828_A1_L25_12_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Priekule_6828_A1_L25_12_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Priekule_6828_A1_L25_12_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_Priekule_6828_A1_L25_12_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Priekule_6828_A1_L25_12_02.xyz