#!/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 1872.0 2298.108393551973 25.337216666666666 57 -gcp 23294.25 2359.6680100055587 26.337216666666666 57 -gcp 23502.75 32755.719705391886 26.337216666666666 56.25 -gcp 1654.5 32658.188438021127 25.337216666666666 56.25 Latvijas_top.kartes_Jaunjelgavas_un_Jekabpils_aprinkis_6828_A1_L37_2_04.JPG Latvijas_top.kartes_Jaunjelgavas_un_Jekabpils_aprinkis_6828_A1_L37_2_04.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "12474.0 2379.02915047196\n1669.5 2296.5074958356468\n1620.0 32656.49916712937\n12552.0 32754.023320377564\n23508.0 32765.976679622436\n23421.0 17565.001665741256\n23298.0 2356.580788450861" | \
  gdaltransform -tps -output_xy Latvijas_top.kartes_Jaunjelgavas_un_Jekabpils_aprinkis_6828_A1_L37_2_04.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  Latvijas_top.kartes_Jaunjelgavas_un_Jekabpils_aprinkis_6828_A1_L37_2_04.vrt Latvijas_top.kartes_Jaunjelgavas_un_Jekabpils_aprinkis_6828_A1_L37_2_04.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES Latvijas_top.kartes_Jaunjelgavas_un_Jekabpils_aprinkis_6828_A1_L37_2_04.cut.vrt Latvijas_top.kartes_Jaunjelgavas_un_Jekabpils_aprinkis_6828_A1_L37_2_04.xyz