#!/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 1641.4748843357565 1897.950420168067 25.5 57.5 -gcp 15591.372769332453 1996.8865546218485 26 57.5 -gcp 15595.878717779247 15458.023529411767 26 57.25 -gcp 1614.3569068076667 15324.298319327732 25.5 57.25 Latvijas_dalas_Lietuvas_dalas_un_Iga_WI2Gwhd.kartes_Smiltene_6828_A1_L25_60_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Smiltene_6828_A1_L25_60_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"1641.4748843357565 1897.950420168067\n15591.372769332453 1996.8865546218485\n15595.878717779247 15458.023529411767\n1614.3569068076667 15324.298319327732\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Smiltene_6828_A1_L25_60_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Smiltene_6828_A1_L25_60_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Smiltene_6828_A1_L25_60_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_Smiltene_6828_A1_L25_60_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Smiltene_6828_A1_L25_60_02.xyz