#!/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 26.955143806261713 56.68510986556819 -gcp 0.0 16476.0 26.98189285225729 56.68465685904638 -gcp 12333.0 16476.0 26.981273016586243 56.67363652081263 -gcp 12333.0 0.0 26.954531769896313 56.67408931525827 19_Rajons_Vilani_ZA/LNA_KFFDA_F106_1_4984N.jpg LNA_KFFDA_F106_1_4984N.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 16476.0\n12333.0 16476.0\n12333.0 0.0" | \
  gdaltransform -tps -output_xy LNA_KFFDA_F106_1_4984N.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LNA_KFFDA_F106_1_4984N.vrt LNA_KFFDA_F106_1_4984N.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LNA_KFFDA_F106_1_4984N.cut.vrt LNA_KFFDA_F106_1_4984N.xyz