#!/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 780.0 2643.9361344537815 26.5 56.5 -gcp 15243.0 2698.8899159663865 27 56.5 -gcp 15297.0 16113.552100840338 27 56.25 -gcp 744.0 16087.853781512604 26.5 56.25 Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Preili_6828_A1_L25_79_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Preili_6828_A1_L25_79_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"780.0 2643.9361344537815\n15243.0 2698.8899159663865\n15297.0 16113.552100840338\n774.0 16082.997478991598\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Preili_6828_A1_L25_79_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Preili_6828_A1_L25_79_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Preili_6828_A1_L25_79_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_Preili_6828_A1_L25_79_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Preili_6828_A1_L25_79_02.xyz