#!/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 1971.0 2646.3268907563024 21.5 57.5 -gcp 16099.5 2647.861344537815 22 57.5 -gcp 16173.75 16147.56974789916 22 57.25 -gcp 1969.5 16132.647478991597 21.5 57.25 Latvijas_dalas_Lietuvas_dalas_un_Iga_pJFYQxO.kartes_Ventspils_6828_A1_L25_8_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Ventspils_6828_A1_L25_8_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"1971.0 2646.3268907563024\n16099.5 2647.861344537815\n16173.75 16147.56974789916\n1969.5 16132.647478991597\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Ventspils_6828_A1_L25_8_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Ventspils_6828_A1_L25_8_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Ventspils_6828_A1_L25_8_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_Ventspils_6828_A1_L25_8_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Ventspils_6828_A1_L25_8_02.xyz