#!/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 27.024920769716108 56.56687312447239 -gcp 0.0 16353.0 27.05023842049902 56.56802847514335 -gcp 12342.0 16353.0 27.051814035729418 56.55747861730218 -gcp 12342.0 0.0 27.02650340959485 56.55632351206698 19_Rajons_Vilani_ZA/LNA_KFFDA_F106_1_5086N.jpg LNA_KFFDA_F106_1_5086N.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 16353.0\n12342.0 16353.0\n12342.0 0.0" | \
  gdaltransform -tps -output_xy LNA_KFFDA_F106_1_5086N.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LNA_KFFDA_F106_1_5086N.vrt LNA_KFFDA_F106_1_5086N.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LNA_KFFDA_F106_1_5086N.cut.vrt LNA_KFFDA_F106_1_5086N.xyz