#!/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 5154.0 6462.0 26.58289 56.582618333333336 -gcp 41196.0 6390.0 26.62455 56.582618333333336 -gcp 41220.0 39258.0 26.62455 56.56179 -gcp 5172.0 39330.0 26.58289 56.56179 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-003562-PLANSETE-085-g-3_3562.JPG LVVA-001679-0217-003562-PLANSETE-085-g-3_3562.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "5154.0 6462.0\n41196.0 6390.0\n41220.0 39258.0\n5172.0 39330.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-003562-PLANSETE-085-g-3_3562.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-003562-PLANSETE-085-g-3_3562.vrt LVVA-001679-0217-003562-PLANSETE-085-g-3_3562.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-003562-PLANSETE-085-g-3_3562.cut.vrt LVVA-001679-0217-003562-PLANSETE-085-g-3_3562.xyz