#!/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 2613.0 2766.763025210084 27.5 57.5 -gcp 18657.0 2742.7361344537812 28.066666666666666 57.5 -gcp 18756.0 16236.764705882353 28.066666666666666 57.25 -gcp 2619.0 16254.761344537816 27.5 57.25 Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Kaceni_6828_A1_L25_92_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Kaceni_6828_A1_L25_92_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"2613.0 2766.763025210084\n18657.0 2742.7361344537812\n18756.0 16236.764705882353\n2619.0 16254.761344537816\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Kaceni_6828_A1_L25_92_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Kaceni_6828_A1_L25_92_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Kaceni_6828_A1_L25_92_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_Kaceni_6828_A1_L25_92_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Kaceni_6828_A1_L25_92_02.xyz