#!/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 23.48464774528562 56.60183865594144 -gcp 0.0 16386.0 23.513828573190885 56.60761800496607 -gcp 12192.0 16386.0 23.52161921552402 56.59564113990558 -gcp 12192.0 0.0 23.49244640679989 56.5898636216682 07_Rajons_Zalenieki/LNA_KFFDA_F106_1_4245N.jpg LNA_KFFDA_F106_1_4245N.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 16386.0\n12192.0 16386.0\n12192.0 0.0" | \
  gdaltransform -tps -output_xy LNA_KFFDA_F106_1_4245N.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LNA_KFFDA_F106_1_4245N.vrt LNA_KFFDA_F106_1_4245N.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LNA_KFFDA_F106_1_4245N.cut.vrt LNA_KFFDA_F106_1_4245N.xyz