#!/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 26.915233629840696 56.616445776261095 -gcp 0.0 16341.0 26.942075550717284 56.61431493554255 -gcp 12219.0 16341.0 26.939182714707087 56.603247770731556 -gcp 12219.0 0.0 26.91234844449602 56.605377912547105 19_Rajons_Vilani_ZA/LNA_KFFDA_F106_1_4953N.jpg LNA_KFFDA_F106_1_4953N.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 16341.0\n12219.0 16341.0\n12219.0 0.0" | \
  gdaltransform -tps -output_xy LNA_KFFDA_F106_1_4953N.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LNA_KFFDA_F106_1_4953N.vrt LNA_KFFDA_F106_1_4953N.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LNA_KFFDA_F106_1_4953N.cut.vrt LNA_KFFDA_F106_1_4953N.xyz