#!/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 23.235118829353837 56.75526955694137 -gcp 0.0 16155.0 23.262846547762322 56.75708317433128 -gcp 11694.0 16155.0 23.265231914595038 56.746056783850456 -gcp 11694.0 0.0 23.23751219367426 56.74424371521427 02_Rajons_Pienava/LNA_KFFDA_F106_1_3557N.jpg LNA_KFFDA_F106_1_3557N.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 16155.0\n11694.0 16155.0\n11694.0 0.0" | \
  gdaltransform -tps -output_xy LNA_KFFDA_F106_1_3557N.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LNA_KFFDA_F106_1_3557N.vrt LNA_KFFDA_F106_1_3557N.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LNA_KFFDA_F106_1_3557N.cut.vrt LNA_KFFDA_F106_1_3557N.xyz