#!/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 4722.0 6408.0 23.749948333333332 56.39515 -gcp 40944.0 6462.0 23.791608333333333 56.39515 -gcp 40992.0 40194.0 23.791608333333333 56.37432 -gcp 4764.0 40134.0 23.749948333333332 56.37432 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-002574-PLANSETE-034-e-7_2574.JPG LVVA-001679-0217-002574-PLANSETE-034-e-7_2574.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "4722.0 6408.0\n40944.0 6462.0\n40992.0 40194.0\n4764.0 40134.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-002574-PLANSETE-034-e-7_2574.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-002574-PLANSETE-034-e-7_2574.vrt LVVA-001679-0217-002574-PLANSETE-034-e-7_2574.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-002574-PLANSETE-034-e-7_2574.cut.vrt LVVA-001679-0217-002574-PLANSETE-034-e-7_2574.xyz