#!/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 1129.5 2658.648739495798 26.5 57.5 -gcp 15243.0 2716.894117647059 27 57.5 -gcp 15291.0 16207.858823529412 27 57.25 -gcp 1078.5 16140.333613445378 26.5 57.25 Latvijas_dalas_Lietuvas_dalas_un_Ig_W2DK1hI.kartes_Lejaciems_6828_A1_L25_76_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Lejaciems_6828_A1_L25_76_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"1129.5 2658.648739495798\n15243.0 2716.894117647059\n15291.0 16207.858823529412\n1078.5 16140.333613445378\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Lejaciems_6828_A1_L25_76_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Lejaciems_6828_A1_L25_76_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Lejaciems_6828_A1_L25_76_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_Lejaciems_6828_A1_L25_76_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Lejaciems_6828_A1_L25_76_02.xyz