#!/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 22.607769073508813 56.892745694480375 -gcp 0.0 16080.0 22.630682630276763 56.892865470100986 -gcp 12096.0 16080.0 22.630844318621854 56.88343124378729 -gcp 12096.0 0.0 22.607936534028994 56.883311525341234 38_Rajons_Sabile_Vane/LNA_KFFDA_F106_1_8937N.jpg LNA_KFFDA_F106_1_8937N.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 16080.0\n12096.0 16080.0\n12096.0 0.0" | \
  gdaltransform -tps -output_xy LNA_KFFDA_F106_1_8937N.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LNA_KFFDA_F106_1_8937N.vrt LNA_KFFDA_F106_1_8937N.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LNA_KFFDA_F106_1_8937N.cut.vrt LNA_KFFDA_F106_1_8937N.xyz