#!/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 26.71980295608344 56.594861767765565 -gcp 0.0 16380.0 26.74843933274664 56.58514393550179 -gcp 12267.0 16380.0 26.735249827102667 56.57331123706444 -gcp 12267.0 0.0 26.706618826922032 56.583025995050946 21_Rajons_Varaklani_R/LNA_KFFDA_F106_1_5444N.jpg LNA_KFFDA_F106_1_5444N.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 16380.0\n12267.0 16380.0\n12267.0 0.0" | \
  gdaltransform -tps -output_xy LNA_KFFDA_F106_1_5444N.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LNA_KFFDA_F106_1_5444N.vrt LNA_KFFDA_F106_1_5444N.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LNA_KFFDA_F106_1_5444N.cut.vrt LNA_KFFDA_F106_1_5444N.xyz