#!/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 1987.8182419035031 2517.2714285714287 22 57.5 -gcp 16153.919365499009 2610.4268907563023 22.5 57.5 -gcp 16152.37376074025 16126.851260504201 22.5 57.25 -gcp 1908.3241903502976 16026.321848739495 22 57.25 Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Ugale_6828_A1_L25_14_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Ugale_6828_A1_L25_14_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"1987.8182419035031 2517.2714285714287\n16153.919365499009 2610.4268907563023\n16152.37376074025 16126.851260504201\n1908.3241903502976 16026.321848739495\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Ugale_6828_A1_L25_14_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Ugale_6828_A1_L25_14_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Ugale_6828_A1_L25_14_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_Ugale_6828_A1_L25_14_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Ugale_6828_A1_L25_14_02.xyz