#!/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 1608.0 2574.2512605042016 27.5 57.75 -gcp 15655.5 2604.29243697479 28 57.75 -gcp 15702.0 16070.446218487394 28 57.5 -gcp 1578.0 16055.319327731091 27.5 57.5 Latvijas_dalas_Lietuvas_dalas_un_Igau_oxe28Nh.kartes_Batvina_6828_A1_L25_91_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Batvina_6828_A1_L25_91_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"1608.0 2574.2512605042016\n15655.5 2604.29243697479\n15702.0 16070.446218487394\n1578.0 16055.319327731091\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Batvina_6828_A1_L25_91_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Batvina_6828_A1_L25_91_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Batvina_6828_A1_L25_91_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_Batvina_6828_A1_L25_91_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Batvina_6828_A1_L25_91_02.xyz