#!/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 3267.0 2875.738655462185 27 56.5 -gcp 17802.0 2998.9201680672268 27.5 56.5 -gcp 17775.0 16485.573109243698 27.5 56.25 -gcp 3160.5 16357.803361344537 27 56.25 Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Malta_6828_A1_L25_88_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Malta_6828_A1_L25_88_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"3267.0 2875.738655462185\n17802.0 2998.9201680672268\n17775.0 16485.573109243698\n3160.5 16357.803361344537\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Malta_6828_A1_L25_88_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Malta_6828_A1_L25_88_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Malta_6828_A1_L25_88_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_Malta_6828_A1_L25_88_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Malta_6828_A1_L25_88_02.xyz