#!/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 1167.0 2511.4453781512602 24 58 -gcp 15073.5 2589.1483193277313 24.5 58 -gcp 15075.0 16077.769747899158 24.5 57.75 -gcp 1056.9746882951345 15993.487016703544 24 57.75 Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Ainazi_6828_A1_L25_33_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Ainazi_6828_A1_L25_33_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"1167.0 2511.4453781512602\n15073.5 2589.1483193277313\n15075.0 16077.769747899158\n1056.9746882951345 15993.487016703544\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Ainazi_6828_A1_L25_33_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Ainazi_6828_A1_L25_33_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Ainazi_6828_A1_L25_33_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_Ainazi_6828_A1_L25_33_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Ainazi_6828_A1_L25_33_02.xyz