#!/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 1710.0 2571.858823529412 24 56.25 -gcp 16330.5 2596.8621848739494 24.5 56.25 -gcp 16390.5 16063.599159663865 24.5 56 -gcp 1672.5 16033.957142857142 24 56 Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Vaski_6828_A1_L25_40_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Vaski_6828_A1_L25_40_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"1710.0 2571.858823529412\n16330.5 2596.8621848739494\n16390.5 16063.599159663865\n1672.5 16033.957142857142\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Vaski_6828_A1_L25_40_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Vaski_6828_A1_L25_40_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Vaski_6828_A1_L25_40_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_Vaski_6828_A1_L25_40_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Vaski_6828_A1_L25_40_02.xyz