#!/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 23.445005477517455 56.58805793541389 -gcp 0.0 16416.0 23.475993135846394 56.58673264345861 -gcp 12183.0 16416.0 23.474205965091475 56.57404238519394 -gcp 12183.0 0.0 23.443228628801222 56.57536725552365 07_Rajons_Zalenieki/LNA_KFFDA_F106_1_4208N.jpg LNA_KFFDA_F106_1_4208N.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 16416.0\n12183.0 16416.0\n12183.0 0.0" | \
  gdaltransform -tps -output_xy LNA_KFFDA_F106_1_4208N.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LNA_KFFDA_F106_1_4208N.vrt LNA_KFFDA_F106_1_4208N.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LNA_KFFDA_F106_1_4208N.cut.vrt LNA_KFFDA_F106_1_4208N.xyz