#!/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 1804.5 2604.7319327731093 27 57.75 -gcp 15832.5 2644.1327731092433 27.5 57.75 -gcp 15885.0 16072.897478991596 27.5 57.5 -gcp 1768.5 16060.845378151262 27 57.5 Latvijas_dalas_Lietuvas_dalas_un_I_ilkn17s.kartes_Veclaicene_6828_A1_L25_83_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Veclaicene_6828_A1_L25_83_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"1804.5 2604.7319327731093\n15832.5 2644.1327731092433\n15885.0 16072.897478991596\n1768.5 16060.845378151262\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Veclaicene_6828_A1_L25_83_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Veclaicene_6828_A1_L25_83_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Veclaicene_6828_A1_L25_83_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_Veclaicene_6828_A1_L25_83_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Veclaicene_6828_A1_L25_83_02.xyz