#!/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 1906.9857898215469 2774.2857142857138 22 57.25 -gcp 16144.861863846661 2790.3823529411766 22.5 57.25 -gcp 16212.419365499009 16251.523529411767 22.5 57 -gcp 1894.8648380700592 16234.865546218487 22 57 Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Usma_6828_A1_L25_15_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Usma_6828_A1_L25_15_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"1906.9857898215469 2774.2857142857138\n16144.861863846661 2790.3823529411766\n16212.419365499009 16251.523529411767\n1894.8648380700592 16234.865546218487\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Usma_6828_A1_L25_15_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Usma_6828_A1_L25_15_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Usma_6828_A1_L25_15_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_Usma_6828_A1_L25_15_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Usma_6828_A1_L25_15_02.xyz