#!/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 27.035239504701433 56.62975114040807 -gcp 0.0 16386.0 27.063808958619024 56.636390925417665 -gcp 12189.0 16386.0 27.072765042743406 56.6246765705479 -gcp 12189.0 0.0 27.044203014257796 56.61803875525281 26_Rajons_Rikava/LNA_KFFDA_F106_1_5513N.jpg LNA_KFFDA_F106_1_5513N.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\n12189.0 16386.0\n12189.0 0.0" | \
  gdaltransform -tps -output_xy LNA_KFFDA_F106_1_5513N.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LNA_KFFDA_F106_1_5513N.vrt LNA_KFFDA_F106_1_5513N.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LNA_KFFDA_F106_1_5513N.cut.vrt LNA_KFFDA_F106_1_5513N.xyz