#!/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 22.655101563669724 57.00232259768514 -gcp 0.0 16329.0 22.67851022362179 57.00268792614731 -gcp 12222.0 16329.0 22.67900820406559 56.993126208358895 -gcp 12222.0 0.0 22.655605539523137 56.992761000019605 38_Rajons_Sabile_Vane/LNA_KFFDA_F106_1_9015N.jpg LNA_KFFDA_F106_1_9015N.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 16329.0\n12222.0 16329.0\n12222.0 0.0" | \
  gdaltransform -tps -output_xy LNA_KFFDA_F106_1_9015N.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LNA_KFFDA_F106_1_9015N.vrt LNA_KFFDA_F106_1_9015N.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LNA_KFFDA_F106_1_9015N.cut.vrt LNA_KFFDA_F106_1_9015N.xyz