#!/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 23.052230066112553 56.845013064033246 -gcp 0.0 16404.0 23.076450471963238 56.85532667329602 -gcp 12288.0 16404.0 23.090546220553268 56.845382663891925 -gcp 12288.0 0.0 23.06632830155695 56.835071780469946 11_Rajons_Tukums_II/LNA_KFFDA_F106_1_4608N.jpg LNA_KFFDA_F106_1_4608N.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 16404.0\n12288.0 16404.0\n12288.0 0.0" | \
  gdaltransform -tps -output_xy LNA_KFFDA_F106_1_4608N.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LNA_KFFDA_F106_1_4608N.vrt LNA_KFFDA_F106_1_4608N.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LNA_KFFDA_F106_1_4608N.cut.vrt LNA_KFFDA_F106_1_4608N.xyz