#!/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 23.99329419222381 56.46751942260235 -gcp 0.0 16278.0 24.02403106436891 56.4711778943891 -gcp 12129.0 16278.0 24.028949680482405 56.458499391276135 -gcp 12129.0 0.0 23.998222573768643 56.45484213020315 09_Rajons_Mezotne/LNA_KFFDA_F106_1_4395N.jpg LNA_KFFDA_F106_1_4395N.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 16278.0\n12129.0 16278.0\n12129.0 0.0" | \
  gdaltransform -tps -output_xy LNA_KFFDA_F106_1_4395N.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LNA_KFFDA_F106_1_4395N.vrt LNA_KFFDA_F106_1_4395N.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LNA_KFFDA_F106_1_4395N.cut.vrt LNA_KFFDA_F106_1_4395N.xyz