#!/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 22.733341224130974 56.98532847477203 -gcp 0.0 16329.0 22.758964394502247 56.98451147525504 -gcp 12258.0 16329.0 22.757837638219208 56.974009558537006 -gcp 12258.0 0.0 22.732221661886047 56.97482635991993 38_Rajons_Sabile_Vane/LNA_KFFDA_F106_1_9126N.jpg LNA_KFFDA_F106_1_9126N.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\n12258.0 16329.0\n12258.0 0.0" | \
  gdaltransform -tps -output_xy LNA_KFFDA_F106_1_9126N.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LNA_KFFDA_F106_1_9126N.vrt LNA_KFFDA_F106_1_9126N.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LNA_KFFDA_F106_1_9126N.cut.vrt LNA_KFFDA_F106_1_9126N.xyz