#!/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 4992.0 6738.0 27.791055 56.41598 -gcp 41340.0 6756.0 27.832716666666666 56.41598 -gcp 41274.0 39600.0 27.832716666666666 56.39515 -gcp 4920.0 39576.0 27.791055 56.39515 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-003952-PLANSETE-104-e-4_3952.JPG LVVA-001679-0217-003952-PLANSETE-104-e-4_3952.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "4992.0 6738.0\n41340.0 6756.0\n41274.0 39600.0\n4920.0 39576.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-003952-PLANSETE-104-e-4_3952.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-003952-PLANSETE-104-e-4_3952.vrt LVVA-001679-0217-003952-PLANSETE-104-e-4_3952.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-003952-PLANSETE-104-e-4_3952.cut.vrt LVVA-001679-0217-003952-PLANSETE-104-e-4_3952.xyz