#!/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 4872.0 6252.0 22.87507 56.70759833333334 -gcp 40806.0 6186.0 22.91673 56.70759833333334 -gcp 40950.0 39966.0 22.91673 56.68676833333333 -gcp 5010.0 40008.0 22.87507 56.68676833333333 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-001646-PLANSETE-025-c-10_1646.JPG LVVA-001679-0217-001646-PLANSETE-025-c-10_1646.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "4872.0 6252.0\n40806.0 6186.0\n40950.0 39966.0\n5010.0 40008.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-001646-PLANSETE-025-c-10_1646.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-001646-PLANSETE-025-c-10_1646.vrt LVVA-001679-0217-001646-PLANSETE-025-c-10_1646.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-001646-PLANSETE-025-c-10_1646.cut.vrt LVVA-001679-0217-001646-PLANSETE-025-c-10_1646.xyz