#!/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 22.551203900696272 56.892985431342765 -gcp 0.0 16203.0 22.575383798552892 56.890635795853065 -gcp 12207.0 16203.0 22.57214707160573 56.880665117311 -gcp 12207.0 0.0 22.54797343046657 56.883014161324155 38_Rajons_Sabile_Vane/LNA_KFFDA_F106_1_8672N.jpg LNA_KFFDA_F106_1_8672N.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 16203.0\n12207.0 16203.0\n12207.0 0.0" | \
  gdaltransform -tps -output_xy LNA_KFFDA_F106_1_8672N.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LNA_KFFDA_F106_1_8672N.vrt LNA_KFFDA_F106_1_8672N.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LNA_KFFDA_F106_1_8672N.cut.vrt LNA_KFFDA_F106_1_8672N.xyz