#!/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 22.69165522875096 56.96335009296874 -gcp 0.0 16347.0 22.716378803227922 56.96410523200497 -gcp 12381.0 16347.0 22.717422177254598 56.95387557904042 -gcp 12381.0 0.0 22.692705348487042 56.953120675284545 38_Rajons_Sabile_Vane/LNA_KFFDA_F106_1_9064N.jpg LNA_KFFDA_F106_1_9064N.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 16347.0\n12381.0 16347.0\n12381.0 0.0" | \
  gdaltransform -tps -output_xy LNA_KFFDA_F106_1_9064N.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LNA_KFFDA_F106_1_9064N.vrt LNA_KFFDA_F106_1_9064N.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LNA_KFFDA_F106_1_9064N.cut.vrt LNA_KFFDA_F106_1_9064N.xyz