#!/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 26.915790734806897 56.67572238329032 -gcp 0.0 16404.0 26.943136740349114 56.674690236897206 -gcp 12264.0 16404.0 26.941731347672246 56.66343498397098 -gcp 12264.0 0.0 26.914393440406386 56.66446674153191 19_Rajons_Vilani_ZA/LNA_KFFDA_F106_1_4945N.jpg LNA_KFFDA_F106_1_4945N.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\n12264.0 16404.0\n12264.0 0.0" | \
  gdaltransform -tps -output_xy LNA_KFFDA_F106_1_4945N.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LNA_KFFDA_F106_1_4945N.vrt LNA_KFFDA_F106_1_4945N.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LNA_KFFDA_F106_1_4945N.cut.vrt LNA_KFFDA_F106_1_4945N.xyz