#!/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 4932.0 6624.0 27.99936 56.52013 -gcp 41184.0 6552.0 28.04102 56.52013 -gcp 41208.0 39426.0 28.04102 56.4993 -gcp 4950.0 39516.0 27.99936 56.4993 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-004106-PLANSETE-109-g-13_4106.JPG LVVA-001679-0217-004106-PLANSETE-109-g-13_4106.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "4932.0 6624.0\n41184.0 6552.0\n41208.0 39426.0\n4950.0 39516.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-004106-PLANSETE-109-g-13_4106.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-004106-PLANSETE-109-g-13_4106.vrt LVVA-001679-0217-004106-PLANSETE-109-g-13_4106.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-004106-PLANSETE-109-g-13_4106.cut.vrt LVVA-001679-0217-004106-PLANSETE-109-g-13_4106.xyz