#!/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 26.753804039933858 56.60876836628297 -gcp 0.0 16197.0 26.778315944284333 56.61048360110817 -gcp 12162.0 16197.0 26.780647737426516 56.600332792705025 -gcp 12162.0 0.0 26.756142333828937 56.59861795306995 31_Rajons_Varaklani_Z/LNA_KFFDA_F106_1_5957N.jpg LNA_KFFDA_F106_1_5957N.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 16197.0\n12162.0 16197.0\n12162.0 0.0" | \
  gdaltransform -tps -output_xy LNA_KFFDA_F106_1_5957N.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LNA_KFFDA_F106_1_5957N.vrt LNA_KFFDA_F106_1_5957N.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LNA_KFFDA_F106_1_5957N.cut.vrt LNA_KFFDA_F106_1_5957N.xyz