#!/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 27.02117085604061 56.62900845508525 -gcp 0.0 16326.0 27.04708321792296 56.629503539346125 -gcp 12234.0 16326.0 27.047752548581787 56.61880032484174 -gcp 12234.0 0.0 27.021847525707756 56.61830530249531 19_Rajons_Vilani_ZA/LNA_KFFDA_F106_1_5094N.jpg LNA_KFFDA_F106_1_5094N.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 16326.0\n12234.0 16326.0\n12234.0 0.0" | \
  gdaltransform -tps -output_xy LNA_KFFDA_F106_1_5094N.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LNA_KFFDA_F106_1_5094N.vrt LNA_KFFDA_F106_1_5094N.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LNA_KFFDA_F106_1_5094N.cut.vrt LNA_KFFDA_F106_1_5094N.xyz