#!/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 1074.0 798.09243697479 26.5 57.25 -gcp 15258.0 891.6890756302521 27 57.25 -gcp 15294.0 14334.301680672268 27 57 -gcp 981.0 14272.594957983192 26.5 57 Latvijas_dalas_Lietuvas_dalas_un_Igau_3TCjyXv.kartes_Gulbene_6828_A1_L25_77_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Gulbene_6828_A1_L25_77_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"1074.0 798.09243697479\n15258.0 891.6890756302521\n15294.0 14334.301680672268\n981.0 14272.594957983192\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Gulbene_6828_A1_L25_77_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Gulbene_6828_A1_L25_77_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Gulbene_6828_A1_L25_77_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_Gulbene_6828_A1_L25_77_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Gulbene_6828_A1_L25_77_02.xyz