#!/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 0.0 0.0 22.659698063926335 56.92089580273955 -gcp 0.0 16344.0 22.684170501528147 56.92053228545711 -gcp 12288.0 16344.0 22.68366755417639 56.910469247449896 -gcp 12288.0 0.0 22.65920169897462 56.91083269721764 38_Rajons_Sabile_Vane/LNA_KFFDA_F106_1_9035N.jpg LNA_KFFDA_F106_1_9035N.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "0.0 0.0\n0.0 16344.0\n12288.0 16344.0\n12288.0 0.0" | \
  gdaltransform -tps -output_xy LNA_KFFDA_F106_1_9035N.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LNA_KFFDA_F106_1_9035N.vrt LNA_KFFDA_F106_1_9035N.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LNA_KFFDA_F106_1_9035N.cut.vrt LNA_KFFDA_F106_1_9035N.xyz