#!/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 4824.0 6396.0 23.166695 56.35349 -gcp 41070.0 6534.0 23.208356666666667 56.35349 -gcp 41052.0 40296.0 23.208356666666667 56.33266 -gcp 4782.0 40170.0 23.166695 56.33266 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-002271-PLANSETE-031-e-13_2271.JPG LVVA-001679-0217-002271-PLANSETE-031-e-13_2271.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "4824.0 6396.0\n41070.0 6534.0\n41052.0 40296.0\n4782.0 40170.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-002271-PLANSETE-031-e-13_2271.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-002271-PLANSETE-031-e-13_2271.vrt LVVA-001679-0217-002271-PLANSETE-031-e-13_2271.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-002271-PLANSETE-031-e-13_2271.cut.vrt LVVA-001679-0217-002271-PLANSETE-031-e-13_2271.xyz