#!/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 1878.0 2613.2714285714287 25.5 57.25 -gcp 16068.0 2683.653781512605 26 57.25 -gcp 16105.136377436767 16130.530935187307 26 57 -gcp 1887.0 16095.238655462186 25.5 57 Latvijas_dalas_Lietuvas_dalas_un_Iga_FK3reNm.kartes_Dzerbene_6828_A1_L25_61_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Dzerbene_6828_A1_L25_61_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"1878.0 2613.2714285714287\n16068.0 2683.653781512605\n16105.136377436767 16130.530935187307\n1887.0 16095.238655462186\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Dzerbene_6828_A1_L25_61_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Dzerbene_6828_A1_L25_61_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Dzerbene_6828_A1_L25_61_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_Dzerbene_6828_A1_L25_61_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Dzerbene_6828_A1_L25_61_02.xyz