#!/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 1962.118968935889 2376.1672268907564 24 57.75 -gcp 15933.492729676142 2463.423529411765 24.5 57.75 -gcp 15928.760740251157 15936.300840336135 24.5 57.5 -gcp 1849.8003965631196 15852.329411764706 24 57.5 Latvijas_dalas_Lietuvas_dalas_un_Ig_VQEH2ga.kartes_Sveiciems_6828_A1_L25_34_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Sveiciems_6828_A1_L25_34_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"1962.118968935889 2376.1672268907564\n15933.492729676142 2463.423529411765\n15928.760740251157 15936.300840336135\n1849.8003965631196 15852.329411764706\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Sveiciems_6828_A1_L25_34_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Sveiciems_6828_A1_L25_34_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Sveiciems_6828_A1_L25_34_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_Sveiciems_6828_A1_L25_34_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Sveiciems_6828_A1_L25_34_02.xyz