#!/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 1963.5 2708.063865546218 26 57 -gcp 16269.0 2725.881512605042 26.5 57 -gcp 16377.0 16192.947899159662 26.5 56.75 -gcp 1981.5 16177.868067226893 26 56.75 Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Madona_6828_A1_L25_70_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Madona_6828_A1_L25_70_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"1963.5 2708.063865546218\n16269.0 2725.881512605042\n16377.0 16192.947899159662\n1981.5 16177.868067226893\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Madona_6828_A1_L25_70_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Madona_6828_A1_L25_70_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Madona_6828_A1_L25_70_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_Madona_6828_A1_L25_70_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Madona_6828_A1_L25_70_02.xyz