#!/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 27.003336432486755 56.56203214214579 -gcp 0.0 16290.0 27.02883451783909 56.562376767862304 -gcp 12225.0 16290.0 27.029299304664296 56.551810374962685 -gcp 12225.0 0.0 27.003808331978266 56.55146576964089 19_Rajons_Vilani_ZA/LNA_KFFDA_F106_1_5014N.jpg LNA_KFFDA_F106_1_5014N.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 16290.0\n12225.0 16290.0\n12225.0 0.0" | \
  gdaltransform -tps -output_xy LNA_KFFDA_F106_1_5014N.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LNA_KFFDA_F106_1_5014N.vrt LNA_KFFDA_F106_1_5014N.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LNA_KFFDA_F106_1_5014N.cut.vrt LNA_KFFDA_F106_1_5014N.xyz