#!/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 7128.0 9054.0 27.291125 56.35349 -gcp 43470.0 8904.0 27.332785 56.35349 -gcp 43572.0 41454.0 27.332785 56.33266 -gcp 7224.0 41586.0 27.291125 56.33266 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-004362-PLANSETE-95-e-16_4362.JPG LVVA-001679-0217-004362-PLANSETE-95-e-16_4362.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "7128.0 9054.0\n43470.0 8904.0\n43572.0 41454.0\n7224.0 41586.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-004362-PLANSETE-95-e-16_4362.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-004362-PLANSETE-95-e-16_4362.vrt LVVA-001679-0217-004362-PLANSETE-95-e-16_4362.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-004362-PLANSETE-95-e-16_4362.cut.vrt LVVA-001679-0217-004362-PLANSETE-95-e-16_4362.xyz