#!/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 1008.3737607402511 2814.521008403361 28 56.75 -gcp 15355.814276272307 2773.957983193277 28.5 56.75 -gcp 15393.397554527428 16230.697478991598 28.5 56.5 -gcp 1021.8856576338401 16074.285714285716 28 56.5 Latvijas_dalas_Lietuvas_dalas_un_I_peHZn89.kartes_Slabadinci_6828_A1_L25_99_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Slabadinci_6828_A1_L25_99_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"1008.3737607402511 2814.521008403361\n15355.814276272307 2773.957983193277\n15393.397554527428 16230.697478991598\n1021.8856576338401 16074.285714285716\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Slabadinci_6828_A1_L25_99_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Slabadinci_6828_A1_L25_99_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Slabadinci_6828_A1_L25_99_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_Slabadinci_6828_A1_L25_99_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Slabadinci_6828_A1_L25_99_02.xyz