#!/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 4866.0 6990.0 27.624411666666667 56.041043333333334 -gcp 41568.0 6918.0 27.666073333333333 56.041043333333334 -gcp 41592.0 39762.0 27.666073333333333 56.02021333333333 -gcp 4872.0 39828.0 27.624411666666667 56.02021333333333 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-004083-PLANSETE-105-g-12_4083.JPG LVVA-001679-0217-004083-PLANSETE-105-g-12_4083.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "4866.0 6990.0\n41568.0 6918.0\n41592.0 39762.0\n4872.0 39828.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-004083-PLANSETE-105-g-12_4083.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-004083-PLANSETE-105-g-12_4083.vrt LVVA-001679-0217-004083-PLANSETE-105-g-12_4083.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-004083-PLANSETE-105-g-12_4083.cut.vrt LVVA-001679-0217-004083-PLANSETE-105-g-12_4083.xyz