#!/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 5082.0 6564.0 22.500121666666665 57.124195 -gcp 40614.0 6498.0 22.541781666666665 57.124195 -gcp 40752.0 40290.0 22.541781666666665 57.103365 -gcp 5220.0 40332.0 22.500121666666665 57.103365 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-001392-PLANSETE-023-d-9_1392.JPG LVVA-001679-0217-001392-PLANSETE-023-d-9_1392.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "5082.0 6564.0\n40614.0 6498.0\n40752.0 40290.0\n5220.0 40332.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-001392-PLANSETE-023-d-9_1392.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-001392-PLANSETE-023-d-9_1392.vrt LVVA-001679-0217-001392-PLANSETE-023-d-9_1392.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-001392-PLANSETE-023-d-9_1392.cut.vrt LVVA-001679-0217-001392-PLANSETE-023-d-9_1392.xyz