#!/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 1801.5 2646.344537815126 27 56.25 -gcp 16423.5 2556.358823529412 27.5 56.25 -gcp 16531.5 16002.254621848739 27.5 56 -gcp 1840.5 15841.786554621849 27 56 Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Pusa_6828_A1_L25_89_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Pusa_6828_A1_L25_89_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"1801.5 2646.344537815126\n16423.5 2556.358823529412\n16531.5 16002.254621848739\n1840.5 15841.786554621849\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Pusa_6828_A1_L25_89_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Pusa_6828_A1_L25_89_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Pusa_6828_A1_L25_89_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_Pusa_6828_A1_L25_89_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Pusa_6828_A1_L25_89_02.xyz