#!/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 1633.5 2658.1134453781515 26.5 56.25 -gcp 16215.0 2630.098319327731 27 56.25 -gcp 16263.0 16083.300000000001 27 56 -gcp 1627.5 16041.45294117647 26.5 56 Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Viski_6828_A1_L25_80_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Viski_6828_A1_L25_80_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"1633.5 2658.1134453781515\n16215.0 2630.098319327731\n16263.0 16083.300000000001\n1627.5 16041.45294117647\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Viski_6828_A1_L25_80_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Viski_6828_A1_L25_80_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Viski_6828_A1_L25_80_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_Viski_6828_A1_L25_80_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Viski_6828_A1_L25_80_02.xyz